Original Article

Healthcare Workers' Perceptions of Patient Safety Culture in United States Hospitals: A Systematic Review and Meta-Analysis


Ganesh Chilukuri1, S. Thomas Westerman2


doi: http://dx.doi.org/ijms.2024.2560

Volume 12, Number 4: 422-436
Received 12 02 2024; Rev-request 03 05 2024; Rev-recd 16 05 2024; Accepted 16 09 2024

ABSTRACT

Background:

Despite leading in healthcare spending, the United States sees only marginal improvements in patient outcomes among developed nations. Assessing patient safety culture (PSC) through the Hospital Survey on Patient Safety Culture (HSOPSC) provides insights into overall patient safety and attitudes toward medical errors. This study aims to examine PSC in U.S. hospitals across professional categories via a systematic review and meta-analysis of published literature.

Methods:

Embase, PubMed (Medline), Web of Science, Scopus, and AHRQ's Bibliography were consulted for identifying studies. A total of 31 articles met the eligibility criteria for inclusion, which garnered 608,443 survey participants in a national population of hospital healthcare professionals. For each professional category of PSC, a fixed and random-effects meta-analysis was performed, and a subgroup analysis was also conducted to measure differences in perceptions of PSC based on type of healthcare professional.

Results:

The HSOPSC composite average across all the studies was 61.3% positive responsiveness, indicating a need for improvement in patient safety. “Teamwork within units” had the highest positive PSC perception while “nonpunitive response to error” and “handoffs and transitions” scored the lowest. Furthermore, healthcare trainees and physicians seemed to have overall worse perceptions of patient safety culture compared to other professional subgroups, indicating the potential impacts of inexperience and a culpability culture on patient safety and medical error in hospitals.

Discussion:

To strengthen weak aspects of patient safety culture, hospitals should implement interventions such as teamwork training and error-reporting systems, thereby enhancing patient safety measures and reducing medical errors.

Introduction

According to the World Health Organization, patient safety refers to “the prevention of errors and adverse effects to patients associated with health care” and “to do no harm”.1 Threats toward patient safety can be attributed to medical errors both at the individual and organizational levels.23 “To Err is Human” reported that as many as 98,000 people die of hospital medical errors,3 and substantial efforts have been made recently to identify sources of error, develop safety measures, and create harm-prevention policies in United States hospitals.45 Hospital errors and treating patients due to these errors account for more than 15% of healthcare spending in developed countries, including the US.6 Furthermore, around 1 in every 10 patients is harmed in healthcare due to safety lapses, an indicator of low-quality healthcare, leading to a global figure of 3 million deaths annually.78 As a result, addressing patient safety in health systems, like private hospitals and hospital networks, has become a crucial aspect of improving the quality of patient care.

Enhancing safety culture in healthcare settings has been recognized as an element for improving patient safety, treatment outcomes, and overall quality of health.911, 36 Patient safety culture (PSC) refers to the shared perceptions of healthcare professionals around the procedures, norms, values, and attitudes relating to a culture of preventable errors.12 As such, health organizations with strong PSC—characterized by trust and teamwork amongst staff, effective communication between members, and shared perceptions about the importance of patient safety—are associated with having more favorable outcomes and lower frequency of medical errors.1315

The Hospital Survey on Patient Safety Culture (HSOPSC) created by the Agency for Healthcare Research and Quality (AHRQ) in the USA is a multi-dimensional, psychometrically-sound tool that measures patient safety culture in the hospital setting.1617 Currently, two versions of the HSOPSC exist, and both versions 1.0 (created in 2014) and 2.0 (developed in 2019) are available. Considering its development in the United States, the HSOPSC has been adopted and utilized by hundreds of hospitals nationwide.18 Assessing health institutions in the United States is educationally necessitated for two primary reasons: economics and patient outcomes. First of all, the US has one of the highest spending rates for medical care, potentially twice as much as the other developed nations; some of these costs are due to medical errors and preventable administrative issues.1921 Secondly, the United States population has a lower average life expectancy and a higher avoidable mortality rate than other middle- or high-income countries.22 In other words, despite having the greatest healthcare spending rate, the United States of America is seeing marginal overall impacts on patient outcomes within the developed world. Studying PSC in hospitals can provide insights into the status of patient safety and the culture of medical/avoidable errors in the United States. In this context, the purpose of this study is to examine patient safety culture in US hospitals across professional categories through a systemic review and meta-analysis of published literature.

Methods

Study Aims and Protocol

This review aims to identify studies that have used HSOPSC to measure PSC at United States hospitals and to describe their main findings relating to specific safety culture composites. Additionally, the present study sought to summarize the HSOPSC surveys by means of systematic review and meta-analysis. This study, utilizing a living systematic review and meta-analysis,2324 was prepared and implemented by both authors. The literature search was conducted according to protocols set by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).25 This study is registered to PROSPERO with the following registration number: CRD42024543348.

Search Strategies

The following databases were consulted for identifying studies: Embase, PubMed (Medline), Web of Science, and Scopus. The search strategy involved implementing a combination of the following keywords using the Boolean operators ‘OR' and ‘AND': “Patient safety culture”, “HSOPSC”, and “SOPS”. To maximize inclusion of relevant studies, the AHRQ Reference Bibliography List was consulted. Importantly, the AHRQ reference bibliography includes articles that are not limited to the four databases mentioned above. The search strategies for each database are given in Supplemental Table 1. 57 studies from the AHRQ bibliography were incorporated in the screening phase.

Eligibility Criteria and Study Selection

There is much variety in the instruments that are used to assess patient safety culture perceptions amongst healthcare professionals.2627 As a result, the authors selected articles that meet the following inclusion criteria: (i) studies used Hospital SOPS Version 1.0 to measure dimensions of PSC; (ii) studies show data from US healthcare systems; (iii) studies are full-text and available in English. Furthermore, the following articles were excluded: (i) studies in the form of letters, conferences, commentaries, and patient reports; (ii) studies performed outside of hospital setting; (iii) studies using benchmark data without mentioning sampling/eligibility criteria; (iv) studies with data from already-identified articles; (v) studies duplicated across databases. Previous reviews done in developing countries and European countries also followed similar inclusion and exclusion criteria.1217 Some of these reviews excluded studies that only included one unit of a hospital or one professional category.1314 However, the authors decided to include such studies, agreeing that every unit and staff category plays a role in representing a US hospital and its safety culture. Two authors independently screened the title/abstract to determine eligibility for full-text review. Then, these selected studies were comprehensively evaluated based on the aforementioned criteria by both reviewers. Disagreements for inclusion were resolved by additional, collaborative full-text analysis and consensus; if consensus could not be attained, an impartial third-party reviewer was consulted to make a final decision. The reviewers/authors involved in this study have no conflicting interests.

Data Extraction

Two reviewers summarized data from the included studies using a standardized data extraction sheet in Microsoft Excel. The minimum information was extracted from each study: citation, publication year, study site, number of hospitals included (N), sample size of survey respondents (n), and professional categories. Most importantly, all data relating to the 12 dimensions evaluated by the hospital SOPS 1.0 were extracted for qualitative and quantitative analysis. Any additional information regarding interventions or safety culture improvement programs was qualitatively described.

Considering the purpose of this study is to assess safety culture in the US using the HSOPSC, an understanding of the survey is crucial. The HSOPSC measures 12 dimensions of patient safety culture, with three to four questions to assess each dimension, totaling 42 items. The dimensions are measured using a 5-point Likert scale, ranging from ‘never' to ‘always' and ‘strongly disagree' to ‘strongly agree', for both negatively and positively worded items.16 Following the Likert scale, many studies evaluate PSC by calculating mean scores, ranging from 0 to 5, for each dimension. A score closer to 5.0 denotes more positive perceptions of safety culture amongst hospital staff, allowing for extrapolation and conversion.28 The AHRQ and the majority of literature in the field recommend using the percentage of positive responses obtained in each composite dimension by the survey participants as a measure of safety culture status. While both methods of presenting PSC data are valid, this systematic review specifically uses percentage of positive responses as the quantitative measure of safety culture. A high percentage of positive responses (>75%) indicates a general strength for the PSC dimension within the surveyed population. Lower positive response scores (<50%) are considered weak dimensions needing further study and improvement.28 The 12 dimensions measured by the HSOPSC 1.0 and their respective definitions are given in Table 1.

Table 1.

Patient Safety Culture Measures and Definitions.

Composites Items Definitions
Teamwork Within Units 4 Staff support each other, treat each other with respect, and work together as a team.
Supervisor & Manager Expectations and Actions Promoting Patient Safety 4 Supervisors/managers consider staff suggestions for improving patient safety, praise staff for following patient safety procedures, and do not overlook patient safety problems.
Organizational Learning—Continuous Improvement 3 Mistakes have led to positive changes and changes are evaluated for effectiveness.
Management Support for Patient Safety 3 Hospital management provides a work climate that promotes patient safety and shows that patient safety is a top priority.
Overall Perceptions of patient safety 4 Procedures and systems are good at preventing errors and there is a lack of patient safety problems.
Feedback & Communication about error 3 Staff are informed about errors that happen, are given feedback about changes implemented, and discuss ways to prevent errors.
Communication Openness 3 Staff freely speak up if they see something that may negatively affect a patient and feel free to question those with more authority.
Frequency of Events reported 3 Mistakes of the following types are reported: (1) mistakes caught and corrected before affecting the patient, (2) mistakes with no potential to harm the patient, and (3) mistakes that could harm the patient but do not.
Teamwork across units 4 Hospital units cooperate and coordinate with one another to provide the best care for patients.
Staffing 4 There are enough staff to handle the workload and work hours are appropriate to provide the best care for patients.
Handoffs & Transitions 4 Important patient care information is transferred across hospital units and during shift changes.
Nonpunitive Response to Error 3 Staff feel that their mistakes and event reports are not held against them and that mistakes are not kept in their personnel file.
HSOPSC Composite Average 42 Average of the 12 composite scores

Risk of Bias

The selected articles were assessed for risk of bias (i.e. the quality score) using the JBI critical appraisal toolkit.29 This 10-item checklist assesses (i) sample representativeness, (ii) appropriate recruitment of participants, (iii) sample size adequacy, (iv) description of sample and study site, (v) data analysis, (vi) presence of objective, standard criteria for measurement, (vii) reliable measurement, (viii) appropriate statistical analysis, (ix) accounting for confounding factors/subgroups/differences, and (x) identification/analysis of subpopulations.30 Both reviewers rated each article in this review using the JBI critical appraisal checklist, and scores were averaged, culminating in the quality scores shown in Table 2.

Table 2.

Overview and Qualitative Descriptions of Selected Studies.

Author/Study Study Site(s) Number of Hospitals/Medical Centers (N) Number of Participants (n) Main Findings Professional Category Quality Score
1 Jasti, 2009 37 Pittsburgh, PA - UPMC Presbyterian Hospital 1 58 “Supervisor/Manager Expectations & Actions Promoting Patient Safety” and “Teamwork within units” were the highest scored HSOPSC dimensions (75% and 69% positive response rate, respectively). “Handoffs & Transitions” and “Feedback & Communication About Error” scored the lowest (19% and 27% positive response rate, respectively). Internal medicine house staff at earlier stages in their residency training scored higher in 11 out of 12 dimensions. Physicians (residents) 8
2 Profit, 2016 38 Neonatal Intensive Care Units in Californian hospitals 44 2073 “Teamwork Within Units” was the highest scored HSOPSC dimension (74% positive response rate). “Communication Openness” and “Feedback & Communication About Error” scored the lowest (49.3% and 49.2% positive response rate, respectively). Patient safety culture ratings generally decreased as the number of admissions, beds, and staff experiences levels increased across the sample of NICUs. Mix of Professions 9
3 Bump, 2015 39 Pennsylvania - UPMC 10 955 “Teamwork Within Units” and “Supervisor/Manager Expectations & Actions Promoting Patient Safety” were the highest scored dimensions (72% and 80% positive response rate, respectively). Meanwhile, “Handoffs & Transitions” and “Nonpunitive Response to Error” scored the lowest (39% and 42% positive response rate, respectively). Compared to practicing providers, resident and fellow doctors seemed to have lower overall perceptions of PSC. Physicians (residents + fellows) 7
4 Blegen, 2010 40 California - UCSF, El Camino Hospital, Kaiser Permanente SF Hospital 3 368 “Teamwork Within Units” and “Organizational Learning—Continuous Improvement” scored the highest positive response rates (76.6% and 76%, respectively). “Handoffs & Transitions” and “Nonpunitive Response to Error” scored the lowest (57.4% and 57.6% positive response rate, respectively). The TOPS project, involving multidisciplinary team training programs and communication interventions, seemed to improve PSC in hospital medical units. Mix of Professions 9
5 Campbell, 2010 41 Boston, MA - Massachusetts General Hospital 1 2163 “Teamwork Within Units” was the highest scored HSOPSC dimension (85% positive response rate). “Handoffs & Transitions”, “Frequency of Events Reporting”, and “Feedback & Communication About Error” scored the lowest (45%, 49%, and 51% positive response rate, respectively). At this hospital, patient safety climate varied drastically across units and unit types; furthermore, physicians offered more negative PSC ratings. Physicians, Nurses 10
6 DuPree, 2011 42 NYC, NY - Mount Sinai Medical Center 1 325 At the time of study, “Organization Learning—Continuous Improvement” scored the highest at 68% positive response, but “Teamwork Within Units” was consistently rated around 65% positive response. “Frequency of Events Reporting” was scored the lowest at 54% positive responsiveness. Implementing a multidisciplinary Code of Professionalism for staff members to follow showed significant improvements in safety culture in this hospital. Mix of Professions 10
7 Jones, 2013 43 Small Rural Hospitals in Central America Intervention Hospitals: 24 Static Hospitals: 13 Intervention Hospitals: 2137 Static Hospitals: 1328 “Teamwork Within Units” and “Management Support for Patient Safety” were the highest scoring dimensions (82% and 81% positive response rate, respectively). “Handoffs & Transitions” and “Nonpunitive Response to Error” scored the lowest (both 54% positive response rate). TeamSTEPPS intervention, a training program teaching the knowledge and skills that comprise effective teamwork, was associated with greater positive PSC scores. Mix of Professions 10
8 Mardon, 2010 44 Nationwide 179 56480 “Teamwork Within Units” and “Supervisor/Manager Expectations & Actions Promoting Patient Safety” were the highest scored dimensions (79% and 74% positive response rate, respectively). Meanwhile, “Handoffs & Transitions” and “Nonpunitive Response to Error” scored the lowest (44% and 42% positive response rate, respectively). Mix of Professions 10
9 Ulrich & Kear, 2014 45 Nationwide -- 929 Among nephrology nurses: “Teamwork” items received a high positive PSC score (80.7%) while “Handoffs & Transitions” scored the lowest in HSOPSC rating (32.75%). Nurses 10
10 Wagner, 2013 46 Nationwide 622 196462 “Teamwork Within Units” and “Supervisor/Manager Expectations & Actions Promoting Patient Safety” were the highest scored dimensions (79% and 75% positive response rate, respectively). Meanwhile, “Handoffs & Transitions” and “Nonpunitive Response to Error” scored the lowest (both 44% positive response rate,). Mix of Professions 8
11 Wu, 2013 47 Nationwide 884 106710 “Teamwork Within Units” was the highest positively scored dimension (78.2%). Meanwhile, “Handoffs & Transitions” and “Nonpunitive Response to Error” scored the lowest (both approximately 62% positive responsiveness). Nurses with long working hours/shifts had lower PSC ratings for the “Teamwork Within Units” and “Staffing” Dimensions. Nurses 9
12 Gampetro, 2021 48 Nationwide - Pediatric Units 287 6682 “Teamwork Within Units” was the highest positively scored dimension (82.8%). Meanwhile, “Staffing”, “Handoffs & Transitions”, and “Nonpunitive Response to Error” scored the lowest (53.2%, 52.8%, and 54.2%, respectively). There are significant differences regarding perceptions of safety culture between hospitals/specialty units as well as between pediatric physicians and nurses Mix of Professions 10
13 Noureldin, 2021 49 Nationwide - Hospital Pharmacies -- 7,671 “Teamwork Within Units” and “Supervisor/Manager Expectations & Actions Promoting Patient Safety” scored relatively high positive responsiveness ratings with 78.7% and 77.6%, respectively. Meanwhile, pharmacists scored “Staffing” lower at 55.2% positive responsiveness. More experienced pharmacists were more likely to report errors in the workplace. Furthermore, pharmacists at larger hospitals were less likely to report errors and had lower percent positive scores across all the PSC domains. Pharmacists 9
14 Lozito, 2018 50 Pennsylvania 1 71 After implementing the Good Catch Campaign (an educational intervention associated with the implementation of a standardized electronic reporting and debriefing system), staff members reported higher positive responsiveness in all five tested PSC domains: “Communication Openness”, “Feedback & Communication about Error”, “Frequency of Event Reporting”, “Nonpunitive Response to Error”, and “Organization Learning—Continuous Improvement”. “Nonpunitive Response to Error” scored the lowest at 57% positive response rate. Mix of Professions 9
15 Smith, 2017 51 Nationwide 164 140,316 “Teamwork Within Units” was the highest positively scored dimension (81%). Meanwhile, “Handoffs & Transitions” and “Nonpunitive Response to Error” scored the lowest (43% and 44% positive responsiveness, respectively). Hospitals where staff have more positive perceptions of PSC are associated with higher Consumer Reports hospital safety scores. Mix of Professions 10
16 Sorra, 2012 52 Nationwide 73 26791 “Teamwork Within Units” was the highest positively scored dimension (77%). Meanwhile, “Handoffs & Transitions” and “Nonpunitive Response to Error” scored the lowest (both 40% positive response rate). Hospitals where staff have more positive PSC perceptions were associated with patients having more positive care experiences, even after controlling for hospital size and ownership. Mix of Professions 10
17 Mackay, 2023 53 Southeast US - Children's Hospital 1 Intervention Unit: 44
Comparison Unit: 42
Implementing a Daily Safety Huddle improve the positive PSC perception in one dimension: Communication Openness, which also had the highest positive responsiveness at 68.42%. In this study, “Frequency of Events Reported” had the lowest positive response rate at 41.07%. Further research is needed to elucidate the impact of daily safety huddles in nursing. Nurses 9
18 Campione & Famolaro, 2018 54 Nationwide - Acute Care Hospitals 536 1608 “Teamwork Within Units” was the highest positively scored dimension (81.1%). Meanwhile, “Handoffs & Transitions” and “Nonpunitive Response to Error” scored the lowest (46.6% and 44.7% positive responsiveness, respectively). Improvement in PSC perceptions were associated with goal setting, action planning, implementation of multifaceted programs, and consistent measurement of hospital culture across all levels of staff. Mix of Professions 10
19 Lee & Dahinten, 2020 55 Nationwide 535 34514 “Teamwork Within Units” was the highest scored HSOPSC dimension (80.6% positive response rate). Meanwhile, “Staffing”, “Handoffs & Transitions”, and “Nonpunitive Response to Error” scored the lowest (64.8%, 63%, and 65%, respectively). In regression analysis, “Staffing” and “Management Support for Patient Safety” were the two strongest predictors of patient safety perception. Nurses 9
20 Jones, 2008 56 Central America - Critical Access Hospitals 21 1374 “Teamwork Within Units” was the highest scoring dimensions (81% positive response rate). “Handoffs & Transitions” and “Nonpunitive Response to Error” scored the lowest (58% and 52% positive response rate, respectively). Simply raising organizational awareness of patient safety and implementing a voluntary error-reporting program were associated with improved perceptions of PSC. Mix of Professions 10
21 Hefner, 2017 57 Midwest US - OSUWMC Hospitals 3 667 “Teamwork Within Units” was the highest scoring dimension at 78% positive responsiveness while “Nonpunitive Response to Error” scored the lowest at 35%. Crew resource management (CRM) training significantly improved positive perceptions of PSC, especially in teamwork and management domains. Mix of Professions 10
22 Klingner, 2009 58 Tennessee Rural Hospitals 8 835 “Teamwork within units” and “Supervisor/Manager Expectations & Actions Promoting Patient Safety” were the highest scored HSOPSC dimensions (83% and 80% positive response rate, respectively). “Staffing”, “Nonpunitive Response to Error”, and “Handoffs & Transitions” scored the lowest (52%, 50%, and 49%, respectively). Mix of Professions 9
23 Lin, 2018 59 Hawaii - Surgical Units 12 -- “Teamwork Within Units” received the highest positive response of 75% while “Handoffs & Transitions” and “Nonpunitive Response to Error” scored the lowest at 39% and 40%, respectively. Implementing the AHRQ Safety Program for Surgery was associated with reduced surgical site infection rate and increased perceptions of PSC. Mix of Professions 8
24 Hook, 2016 60 Midwest US 4 2011 Higher ratings of hospital culture humility are associated with higher positive perceptions of PSC. Mix of Professions 10
25 Pimentel, 2021 61 Boston, MA - Brigham and Women's Hospital (perioperative staff) 1 431 “Teamwork Within Units” received the highest positive response of 69% while “Frequency of Event Reporting”, “Feedback & Communication About Error”, and “Handoffs & Transitions” scored the lowest at 35%, 34%, and 30%, respectively. In general, surgery attending physicians perceived the highest PSC while nurses and technicians had the lowest positive PSC ratings. Physicians (attendings + residents), Nurses, Technicians 10
26 Bump, 2017 62 Pennsylvania - UPMC 10 12941 “Supervisor/Manager Expectations & Actions Promoting Patient Safety” and “Teamwork Across Units” were the highest scored HSOPSC dimensions (80%/70% and 77%/75% positive response rate, respectively [MD trainees/Other Staff]). “Handoffs & Transitions” and “Nonpunitive Response to Error” scored the lowest positive responsiveness (41%/46% and 35%/45%, respectively [MD trainees/Other Staff]). Overall, in this integrated health system, MD trainees and other staff report similar positive rates of PSC; however, there are slight differences between domains. Physicians (residents + fellows), Mix of Professions 8
27 F Jones, 2013 63 Memphis, TN - large hospital system's emergency departments 2 47 “Supervisor/Manager Expectations & Actions Promoting Patient Safety” and “Management Support for Patient Safety” were the highest scored HSOPSC dimensions (both 72% positive response rate). “Nonpunitive Response to Error” had the lowest positive responsiveness at 28%. TeamSTEPPS intervention, a training program teaching the knowledge and skills that comprise effective teamwork, was associated with greater positive PSC scores. Mix of Professions 8
28 Armellino, 2010 64 New York - Acute Critical Care Unit at a large tertiary hospital 1 98 “Teamwork Within Units” received the highest positive response of 74.4% while “Nonpunitive Response to Error” scored the lowest at 21.09%. Nurses from more empowered backgrounds seemed to have more positive ratings of PSC, indicating systemic social disparities in safety culture perceptions. Nurses 9
29 Legg, 2013 65 Nationwide - Vascular Interventional Technology Units -- 437 Perceptions of PSC were relatively positive (>50% positive responsiveness) with “Teamwork Within Units” scoring the highest positive response rate at 78.3%. “Handoffs & Transitions” and “Nonpunitive Response to Error” scored the lowest (61.7% and 64.87% positive response rate, respectively). Technicians 9
30 Hannah, 2008 66 West Virginia 26 1,717 “Teamwork Within Units” was the HSOPSC dimension with the highest positive response at 78.7% while “Handoffs & Transitions” and “Nonpunitive Response to Errors” scored the lowest at 41.3% and 38.6%, respectively. There was a significant difference between perceptions of PSC between clinicians and nonclinical staff; overall, clinical staff (i.e. nurses) had more negative ratings of PSC. Nurses, Administration 10
31 Marstellar, 2015 67 Nationwide - Cardiac Surgical Units 5 158 In a sample of cardiac surgical units: “Teamwork Within Units” was the HSOPSC dimension with the highest positive response at 73.5% while “Handoffs & Transitions” and “Nonpunitive Response to Errors” scored the lowest at 39.9% and 37.7%, respectively. Mix of Professions 10

Statistical Analysis

Data extracted from the studies were organized, analyzed, and graphed using Microsoft Excel and RStudio. For each HSOPSC dimension, statistical analysis was performed by calculating mean positive scores, standard deviation, standard error, and 95% confidence intervals.31 Meta-analysis was performed using a comparison of results using both a fixed and random-effect analysis, a conservative approach for the meta-analysis of systematic studies.3233 A random-effect analysis was done because of the number of studies included in this review (31 total articles) and the understanding that studies utilizing HSOPSC yield high heterogeneity in the results. Heterogeneity was assessed by deriving the inverse variance in a fixed-effects model, expressed as the I2 statistic percentage.34 Then, two subgroup analyses were done to measure potential differences in PSC based on the sample composition of studies.31 For the first subgroup analysis, studies were grouped into two categories: those that assessed healthcare trainees (residents, fellows, trainee nurses, etc) vs those that surveyed permanent staff members. The second subgroup analysis regrouped the studies based on three professional categories: nurses, physicians, and a mix of professions. Importantly, a few individual studies provided separate HSOPSC data for each subgroups; the reviewers extracted all subgrouped data to include in the meta-analysis. For example, Bump et al., 2017 provided separate results for trainees vs staff members, and both categories of data were collected in Excel and included in the statistical comparison. Statistical analysis included two-tailed tests of statistical probability, and P-values < 0.05 were deemed significant.33

Results

The database searches identified 658 papers for screening. An additional 57 papers from the AHRQ reference bibliography were added to this screening pool.34 Initial screening for language, location, and removal of duplicates eliminated 406 articles, leaving 309 studies for title/abstract screening. Two reviewers assessed the abstracts/titles of the papers to identify 77 articles total for the full-text review phase. A total of 31 articles met the eligibility criteria for inclusion. Figure 1 shows a PRISMA flowchart for the literature selection process.

Figure 1

PRISMA 2020 Flowchart for Systematic Study Selection.


For the purpose of this review, all 31 studies were conducted in the United States, ranging from nationwide to single hospital samples. The articles were all published within the last 15 years and used the Hospital SOPS 1.0 to assess PSC. The 31 studies totaled (at least) 608,443 participants, ranging from 42 participants at a specialized hospital unit to 196,462 participants in a national population of healthcare professionals. Most studies included a mix of professional categories, but a small number of studies provided compartmentalized HSOPSC results focused exclusively on nurses (8 papers) and physicians (5 papers). Moreover, only four studies included HSOPSC results that specifically denoted trainee professionals vs permanent staff members. Table 2 provides an overview and qualitative descriptions of all 31 studies.

The studies demonstrated good methodological quality scores with an average quality score of 9 points out of 10, with 15 studies achieving a maximum score. The studies that lost points were mainly due to errors in participant recruitment or sample/site reporting.

“Teamwork within units” dimension was reported to be the highest or one of the highest-rated composites in the majority of the studies, 26 of 31 studies. Meanwhile, “handoffs & transitions” and “nonpunitive response to error” consistently had the lowest or one of the lowest PSC ratings, 22 of 31 studies each. The meta-analysis of the 12 dimensions of safety culture also corroborated these qualitative findings. Only “teamwork within units” yielded a positive response rate above seventy-five percent, at 75.9%. “Handoffs & transitions” and “nonpunitive response to error” produced positive responsiveness below fifty percent, at 46.6% and 47.7%, respectively. The meta-analysis revealed high heterogeneity values across the survey dimensions and composite average Table 3. The HSOPSC composite average across all the studies was 61.3% positive responsiveness, indicating a perception of patient safety culture that requires improvement. A forest plot of studies with a positive PSC composite average by workplace status (trainee vs staff member) is shown in Figure 2.

Table 3.

Meta-Analysis of HSOPSC Dimensions and Heterogeneity.

Dimension Positive Response, % (95% CI) I2 (%)
Teamwork Within Units 75.9 (73.5–78.3) 93.7
Supervisor & Manager Expectations and Actions Promoting Patient Safety 72.7 (70.6–74.9) 90.1
Organizational Learning—Continuous Improvement 71.4 (69.2–73.7) 89.9
Management Support for Patient Safety 66.9 (63.9–70.0) 95.4
Overall perceptions of patient safety 62.0 (59.2–64.8) 95.5
Feedback & Communication about error 60.6 (56.3–64.8) 97.4
Communication Openness 61.6 (58.3–65.0) 96.1
Frequency of Events reported 58.5 (54.3–62.7) 97.7
Teamwork across units 59.3 (55.8–62.8) 96.1
Staffing 57.4 (54.5–60.2) 95.9
Handoffs & Transitions 46.6 (42.9–50.4) 97.5
Nonpunitive Response to Error 47.7 (43.7–51.6) 97.7
HSOPSC Composite Average 61.3 (58.4–64.1) 93.9

Figure 2

Forest Plot of HSOPSC Composite Average for all Studies (n = 31) by Workplace Status, Trainees vs Staff Members.


Four studies provided HSOPSC results for trainee participants specifically. Two studies provided multiple HSOPSC results to demarcate potential differences between trainees and permanent staff, so both studies were included in each subgroup.6162 The trainee subgroup had a positive composite average of 53.9% while the staff subgroup reported a positive composite average of 62.8%, leading to an overall composite average of 61.3%. The difference in HSOPSC composite averages between trainees and staff (∼9%) was found to be statistically significant with a p-value of 0.0111, indicating that trainees seem to have worse perceptions of patient safety than permanent hospital staff.

Five studies provided HSOPSC results for physicians while eight studies reported data from nurse participants. Two studies provided separate data sets for physicians and nurses; both were included in the subgroup analysis.41, 61 One study denoted individual results for physicians and a mix of professions, so both of these datasets were also included in the respective subgroups.62 Physicians were the group with the lowest PSC perception with an HSOPSC composite average of 54.8%, followed by nurses with an average of 58.7%, and studies with a mix of professions had the highest composite average of 64.1%. The meta-analysis showed that physicians and a mix of professions had a statistical difference in safety culture perceptions for multiple dimensions: organizational learning–continuous improvement, overall perceptions of patient safety, feedback and communication about error, frequency of events reported, handoffs and transitions, nonpunitive response to error, and overall HSOPSC composite average. Physicians always seemed to report lower PSC perceptions. Additionally, physicians reported a statistically significant lower PSC rating than nurses for one dimension: feedback and communication about error. A bar graph showing differences in HSOPSC dimension between physicians, nurses, and a mix of professions is provided in Figure 3.

Figure 3

Bar graph on Dimensions of HSOPSC Positive Responsiveness by Professional Category.


Legend: 95% CI. (* p-value ≤ 0.05, ** p-value ≤ 0.01, *** p-value ≤ 0.001)

Discussion

The present review used the PRISMA protocol to find studies that used the HSOPSC to assess PSC in United States hospitals. The meta-analysis found both strengths and weaknesses in perceptions of patient safety among and between professional categories. In the included studies, HSOPSC was answered by physicians, nurses, technicians, pharmacists, and administrators. Some of the studies provided survey results for specific subgroups of healthcare professionals (such as trainees vs permanent staff), but the majority of studies (27 papers) showed integrated results for a mix of hospital professions. The overall HSOPSC composite average calculated from all 31 studies was 61.3%, indicating an overall need for improvement in US hospitals. Hospitals that used teamwork and collaboration training interventions showed statistically significant improvements in patient safety culture.40, 43, 54, 57, 63 It is possible that adopting programs such as the TOPS project and Team STEPPS in the context of specific hospitals/medical centers may result in higher perceptions of PSC.6869 Improving PSC may decrease the rate of medical errors and improve overall patient safety in US hospitals.70

“Teamwork within units” had the greatest positive responsiveness in terms of patient safety culture. Similar results were found in systematic reviews and meta-analyses of HSOPSC in other areas of the world including Latin America, the Middle East, Europe, and international studies.1314, 7173 This suggests the presence of global strengths in teamwork within hospital units, potentially due to the collaboration and communication that develops between closely working healthcare professionals. Meanwhile, in the United States and global communities, “nonpunitive response to error” and “handoffs and transitions” were the lowest-rated PSC dimensions. Weak perceptions of nonpunitive response to error may reflect a culture of culpability in the US healthcare system. Healthcare professionals may fear negative consequences for making mistakes, leading to a failure to report mistakes and fix said errors. Brattebø and colleagues recommend a participating system for the improvement of patient safety errors as opposed to a punishment system.76 Furthermore, one study in this review looked at hospitals using a voluntary error-reporting system,56 which used a standardized taxonomy in patient files to support a reporting culture. This procedure, in conjunction with safety briefings about communicating about and learning from errors, resulted in significant improvements in hospital PSC and overall safety measures. The authors recommend implementing similar error-reporting systems to enhance patient safety practices and prevent avoidable medical errors. Other systems such as chart reviews, trigger tools, etc. are also beneficial for capturing adverse events and errors. Finally, the weak dimension of “handoffs and transitions” refers to the transfer of information across hospital units and shift changes. There seems to be a deficit in how hospitals standardize effective handoffs and transitions for the benefit of patients. Recent studies recommend using an I-PASS system in a limited-interruption location to facilitate the proper transfer of information between professional units and shifts.7475

Evaluating perceptions of PSC assumes the consideration of many factors that make US hospitals unique. One factor is the differences between varying stages of career, specifically hospital trainees versus permanent staff members. Trainees include residents, fellows, students, and healthcare prospects while permanent staff are healthcare workers who are established full-time or by contract in their hospitals. There was a statistically significant difference in HSOPSC composite averages between trainees and staff (∼9%), indicating that trainees seem to have worse perceptions of PSC than established staff in the US. The most likely explanation for lower PSC ratings among trainees is inexperience and lack of confidence, especially regarding patient safety measures and performance of medical errors.77 Additional studies indicate that trainees have greater fears about bad outcomes, reprimands, and communication, all of which contribute to worse PSC responses.7879 Another likely explanation is that seasoned employees are affected by an acceptance or normalization of deviance. Based on these findings, the authors recommend hospitals include patient safety measures in their trainee and staff curriculums; addition of patient safety into graduate school curriculums also warrants consideration. Furthermore, staff should facilitate a collaborative integration of trainees into their medical teams. These practices may improve perceptions of some PSC dimensions among trainees in order to prevent/report errors and uphold patient safety.6162

There is much variability in PSC perceptions between and within professional categories. In this particular review of United States HSOPSC studies, safety culture was rated lower for physicians compared to nurses and a mix of professions in the hospital setting. While physicians scored lower PSC ratings for many dimensions, the most significant category was “feedback and communication about error.” The meta-analysis revealed that more physicians feel like errors are not reported or discussed compared to nurses and other medical professionals. Once again, this points to a negative culture of culpability amongst healthcare professionals,14, 8384 which is preventing the maintenance of patient safety. Another interesting note is that recent studies found a relatively strong association between professional/personal burnout and lower perceptions of safety culture as well as greater risks in patient safety and medical error.8082

The authors acknowledge that this review is open to some limitations. First of all, articles were searched using four databases, which were believed to be effective for collecting eligible studies. Some articles may have been missed, so to maximize the inclusion of eligible studies, the authors also consulted the AHRQ Bibliography, adding 57 additional records for the screening. Moreover, the studies demonstrated good methodological quality scores, indicating the presence of well-conducted evaluation of PSC in United States hospitals. Regardless of quality scores, all the studies exhibited high heterogeneity of results similar to other reviews, which may make any outlined recommendations more challenging to implement.1314, 7173 Heterogeneity was possible due to the wide-ranging sample sizes of included studies, multiple professional categories, and nationwide locations. Small study effects and publication bias may have also impacted results. Moreover, HSOPSC is a survey tool with good psychometric properties,28 but based on implementation and sampling, the results are open to inconsistencies, which may have also contributed to increased variability during meta-analysis. Despite these limitations, this review provides a combined analysis of patient safety culture perceptions amongst nationwide US healthcare workers with a high sample of responses. As a result, the findings in this study provide generalizable insights on potential obstacles to achieving safer healthcare standards and better medical error reporting practices in the United States. Future research on practical interventions (at the clinical, administrative, and educational levels) addressing weaknesses in patient safety culture would be beneficial for improving patient safety and reducing healthcare errors in the hospital.

Summary – Accelerating Translation

Assessing patient safety culture across hospitals in the United States allows researchers and policy administrators to identify areas of strength and weakness with regard to upholding patient safety and reducing medical error. The United States spends a lot of funding on healthcare with marginal improvements in patient safety, so improving the culture of patient safety may be a vital step in improving the overall healthcare quality for staff and patients in hospitals. There is much variability in perceptions of safety culture amongst different healthcare professionals, but trainees and leadership positions (i.e. physicians) seemed to report lower PSC, potentially due to the impact of inexperience, lack of deviance from regulation, and a culture of culpability. Quality improvement strategies, such as teamwork training and error-reporting systems, should facilitate effective communication, feedback about medical errors, and a culture of learning—all of which foster a safer environment for patients and staff in the hospital setting.

Acknowledgments

This paper is a part of medical student research done by GC at Drexel University College of Medicine, supervised by STW. GC predominantly extracted the data, performed the meta-analysis, interpreted the results, and prepared the manuscript. STW mentored the study design, supervised the project, and assessed the manuscript's intellectual content. Support from the Office of Research & Innovation at Drexel University is much appreciated. Finally, GC and STW are grateful for the diligent work of all the researchers and healthcare professionals involved in the studies represented in this systematic review and meta-analysis.

Conflict of Interest Statement & Funding

The Authors have no funding, financial relationships or conflicts of interest to disclose.

Author Contributions

Conceptualization: GC, STW. Data Curation: GC. Formal Analysis: GC. Investigation: GC, STW. Methodology: GC, STW. Project Administration: STW. Software: GC. Supervision: STW. Writing - Original Draft: GC. Writing - Review Editing: GC, STW.

References

1. McElroy LM, Woods DM, Yanes AF, Skaro AI, Daud A, Curtis T, et al. Applying the WHO conceptual framework for the International Classification for Patient Safety to a surgical population. Int J Qual Health Care. 2016;28(2):166–74.

2. Green B, Tsiroyannis C, Brennan P. Human factors - recognising and minimising errors in our day to day practice. Oral Dis. 2015;22(1):19–22.

3. Kohn LT, Corrigan J, Donaldson MS. To err is human: building a safer health system. Washington: National Academy Press; 2000.

4. Lark ME, Kirkpatrick K, Chung KC. Patient safety movement: history and future directions. J Hand Surg. 2018;43(2):174–8.

5. Clancy CM. Ten years after To Err Is Human. Am J Med Qual. 2009;24(6):525–8.

6. Auraaen A, Slawomirski L, Klazinga N. The economics of patient safety in primary and ambulatory care. OECD Health Working Papers. 2018.

7. Organisation for Economic Co-operation and Development, OECD. The economics of patient safety. OECD Health Working Papers. 2022.

8. Kruk ME, Gage AD, Joseph NT, Danaei G, García-Saisó S, Salomon JA. Mortality due to low-quality health systems in the universal health coverage era: a systematic analysis of amenable deaths in 137 countries. Lancet. 2018;392(10160):2203–12.

9. DiCuccio MH. The relationship between patient safety culture and patient outcomes. J Patient Saf. 2015;11(3):135–42.

10. Birkmeyer NJO, Finks JF, Greenberg CK, McVeigh A, English WJ, Carlin A, et al. Safety culture and complications after bariatric surgery. Ann Surg. 2013;257(2):260–5.

11. Fan CJ, Pawlik TM, Daniels T, Vernon N, Banks K, Westby P, et al. Association of safety culture with surgical site infection outcomes. J Am Coll Surg. 2016;222(2):122–8.

12. Sorra JS, Dyer N. Multilevel psychometric properties of the AHRQ hospital survey on patient safety culture. BMC Health Serv Res. 2010;10(1).

13. Reis CT, Paiva SG, Sousa P. The patient safety culture: a systematic review by characteristics of Hospital Survey on Patient Safety Culture dimensions. Int J Qual Health Care. 2018;30(9):660–77.

14. Okuyama JHH, Galvao TF, Silva MT. Healthcare professional's perception of patient safety measured by the Hospital Survey on Patient Safety Culture: a systematic review and meta-analysis. Sci World J. 2018;2018:1–11.

15. Lawati MHAL, Dennis S, Short SD, Abdulhadi NN. Patient safety and safety culture in primary health care: a systematic review. BMC Fam Pract. 2018;19(1):1–12.

16. Nieva VF, Sorra J. Safety culture assessment: a tool for improving patient safety in healthcare organizations. Qual Saf Health Care. 2003;12 Suppl 2:ii17–23.

17. Waterson P, Carman EM, Manser T, Hammer A. Hospital Survey on Patient Safety Culture (HSPSC): a systematic review of the psychometric properties of 62 international studies. BMJ Open. 2019;9(9):e026896.

18. Agency for Healthcare Research & Quality. Hospital survey on patient safety culture. Available from: https://www.ahrq.gov/sops/surveys/hospital/index.html.

19. Martin AB, Hartman M, Benson J, Catlin A, The National Health Expenditure Accounts Team. National health care spending in 2021: decline in federal spending outweighs greater use of health care. Health Aff (Millwood). 2022;42(1).

20. Shrank WH, Rogstad TL, Parekh N. Waste in the US health care system. JAMA. 2019;322(15).

21. Papanicolas I, Woskie LR, Jha AK. Health care spending in the United States and other high-income countries. JAMA. 2018;319(10):1024–39.

22. Radley DC, Williams RD II, Gunja MZ, Baumgartner JC, Gumas ED. Americans, no matter the state they live in, die younger than people in many other countries. Available from: https://www.commonwealthfund.org/blog/2022/americans-no-matter-state-they-live-die-younger-people-many-other-countries. Last updated: Aug 11, 2022.

23. Elliott JH, Synnot A, Turner T, Simmonds M, Akl EA, McDonald S, et al. Living systematic review: 1. introduction—the why, what, when, and how. J Clin Epidemiol. 2017;91:23–30.

24. Kelly SE, Curran JA, Tricco AC. Managing unmanageable loads of evidence: are living reviews the answer? JBI Evid Synth. 2022;20(1):1–2.

25. Tetzlaff J, Page M, Moher D. The PRISMA 2020 statement: development of and key changes in an updated guideline for reporting systematic reviews and meta-analyses. Value Health. 2020;23(10):S312–3.

26. Halligan M, Zecevic A. Safety culture in healthcare: a review of concepts, dimensions, measures and progress. BMJ Qual Saf. 2011;20(4):338–43.

27. Mohammed F, Taddele M, Gualu T. Patient safety culture and associated factors among health care professionals at public hospitals in Dessie town, north east Ethiopia, 2019. PLoS One. 2021;16(2):e0245966.

28. Agency for Healthcare Research and Quality. Hospital survey on patient safety culture: user's guide. Available from: https://www.ahrq.gov/sites/default/files/wysiwyg/professionals/quality-patient-safety/patientsafetyculture/hospital/userguide/hospitalusersguide.pdf.

29. Tufanaru C, Munn Z, Aromataris E, Campbell J, Hopp L, editors. JBI manual for evidence synthesis. Adelaide: Joanna Briggs Institute; 2020. Available from: https://synthesismanual.jbi.global.

30. Munn Z, Moola S, Riitano D, Lisy K. The development of a critical appraisal tool for use in systematic reviews addressing questions of prevalence. Int J Health Policy Manag. 2014;3(3):123–8.

31. Barker TH, Migliavaca CB, Stein C, Colpani V, Falavigna M, Aromataris E, et al. Conducting proportional meta-analysis in different types of systematic reviews: a guide for synthesisers of evidence. BMC Med Res Methodol. 2021;21(1).

32. Tawfik GM, Dila KAS, Mohamed MYF, Tam DNH, Kien ND, Ahmed AM, et al. A step by step guide for conducting a systematic review and meta-analysis with simulation data. Trop Med Health. 2019;47(1):1–9.

33. Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. A basic introduction to fixed-effect and random-effects models for meta-analysis. Res Synth Methods. 2010;1(2):97–111.

34. Higgins JPT, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539–58.

35. Agency for Healthcare Research and Quality. SOPS bibliography. Available from: https://www.ahrq.gov/sops/bibliography/index.html.

36. Singer SJ, Baker LC. Relationship of safety climate and safety performance in hospitals. Acad Manag Proc. 2007;2007(1):1–6.

37. Jasti H, Sheth H, Verrico M, Perera S, Bump G, Simak D, et al. Assessing patient safety culture of internal medicine house staff in an academic teaching hospital. J Grad Med Educ. 2009;1(1):139–45.

38. Profit J, Lee HC, Sharek PJ, Kan P, Nisbet CC, Thomas EJ, et al. Comparing NICU teamwork and safety climate across two commonly used survey instruments. BMJ Qual Saf. 2015;25(12):954–61.

39. Bump GM, Calabria J, Gosman G, Eckart C, Metro DG, Jasti H, et al. Evaluating the clinical learning environment: resident and fellow perceptions of patient safety culture. J Grad Med Educ. 2015;7(1):109–12.

40. Blegen MA, Sehgal NL, Alldredge BK, Gearhart S, Auerbach AA, Wachter RM. Republished paper: improving safety culture on adult medical units through multidisciplinary teamwork and communication interventions: the TOPS project. Postgrad Med J. 2010;86(1022):729–33.

41. Campbell EG, Singer S, Kitch BT, Iezzoni LI, Meyer GS. Patient safety climate in hospitals: act locally on variation across units. Jt Comm J Qual Patient Saf. 2010;36(7):319–26.

42. DuPree E, Anderson R, McEvoy MD, Brodman M. Professionalism: a necessary ingredient in a culture of safety. Jt Comm J Qual Patient Saf. 2011;37(10):447–55.

43. Jones KJ, Skinner AM, High R, Reiter-Palmon R. A theory-driven, longitudinal evaluation of the impact of team training on safety culture in 24 hospitals. BMJ Qual Saf. 2013;22(5):394–404.

44. Mardon RE, Khanna K, Sorra J, Dyer N, Famolaro T. Exploring relationships between hospital patient safety culture and adverse events. J Patient Saf. 2010;6(4):226–32.

45. Ulrich B, Kear T. Patient safety culture in nephrology nurse practice settings: initial findings. Nephrol Nurs J. 2015;41(5):459–75.

46. Wagner C, Smits M, Sorra J, Huang CC. Assessing patient safety culture in hospitals across countries. Int J Qual Health Care. 2013;25(3):213–21.

47. Wu Y, Fujita S, Seto K, Ito S, Matsumoto K, Huang CC, et al. The impact of nurse working hours on patient safety culture: a cross-national survey including Japan, the United States and Chinese Taiwan using the Hospital Survey on Patient Safety Culture. BMC Health Serv Res. 2013;13(1).

48. Gampetro PJ, Segvich JP, Jordan N, Velsor-Friedrich B, Burkhart L. Perceptions of pediatric hospital safety culture in the United States. J Patient Saf. 2019.

49. Noureldin M, Noureldin MA. Reporting frequency of three near-miss error types among hospital pharmacists and associations with hospital pharmacists' perceptions of their work environment. Res Social Adm Pharm. 2021;17(2):381–7.

50. Lozito M, Whiteman K, Swanson-Biearman B, Barkhymer M, Stephens K. Good catch campaign: improving the perioperative culture of safety. AORN J. 2018;107(6):705–14.

51. Smith SA, Yount N, Sorra J. Exploring relationships between hospital patient safety culture and Consumer Reports safety scores. BMC Health Serv Res. 2017;17(1).

52. Sorra J, Khanna K, Dyer N, Mardon R, Famolaro T. Exploring relationships between patient safety culture and patients' assessments of hospital care. J Patient Saf. 2012;8(3):131–9.

53. MacKay MM, Jordan KS, Powers K, Munn LTM. Improving reporting culture through daily safety huddle. Qual Manag Health Care. 2023.

54. Campione J, Famolaro T. Promising practices for improving hospital patient safety culture. Jt Comm J Qual Patient Saf. 2018;44(1):23–32.

55. Lee SE, Dahinten VS. The enabling, enacting, and elaborating factors of safety culture associated with patient safety: a multilevel analysis. J Nurs Scholarsh. 2020;52(5):544–52.

56. Jones KJ, Skinner A, Xu L, Sun J, Mueller K. The AHRQ Hospital Survey on Patient Safety Culture: a tool to plan and evaluate patient safety programs. Adv Patient Saf. 2008.

57. Hefner JL, Hilligoss B, Knupp A, Bournique J, Sullivan J, Adkins E, et al. Cultural transformation after implementation of crew resource management: is it really possible? Am J Med Qual. 2016;32(4):384–90.

58. Klingner J, Moscovice I, Tupper J, Coburn A, Wakefield M. Implementing patient safety initiatives in rural hospitals. J Rural Health. 2009;25(4):352–7.

59. Lin DM, Carson KA, Lubomski LH, Wick EC, Pham JC. Statewide collaborative to reduce surgical site infections: results of the Hawaii surgical unit-based safety program. J Am Coll Surg. 2018;227(2):189–197.e1.

60. Hook JN, Boan D, Davis DE, Aten JD, Ruiz JM, Maryon T. Cultural humility and hospital safety culture. J Clin Psychol Med Settings. 2016;23(4):402–9.

61. Pimentel MPT, Choi S, Fiumara K, Kachalia A, Urman RD. Safety culture in the operating room. J Patient Saf. 2017.

62. Bump GM, Coots N, Liberi CA, Minnier TE, Phrampus PE, Gosman G, et al. Comparing trainee and staff perceptions of patient safety culture. Acad Med. 2017;92(1):116–22.

63. Jones F, Podila P, Powers C. Creating a culture of safety in the emergency department. J Nurs Adm. 2013;43(4):194–200.

64. Armellino D, Quinn Griffin MT, Fitzpatrick JJ. Structural empowerment and patient safety culture among registered nurses working in adult critical care units. J Nurs Manag. 2010;18(7):796–803.

65. Legg JS, Aaron L, Dempsey MC. Patient safety perceptions among vascular interventional technologists. Radiol Technol. 2013;84(2):106–11.

66. Hannah KL, Schade CP, Lomely DR, Ruddick P, Bellamy GR. Hospital administrative staff vs. nursing staff responses to the AHRQ Hospital Survey on Patient Safety Culture. Adv Patient Saf. 2008.

67. Marsteller JA, Wen M, Hsu YJ, Bauer L, Schwann NM, Young CJ, et al. Safety culture in cardiac surgical teams: data from five programs and national surgical comparison. Ann Thorac Surg. 2015;100(6):2182–9.

68. Sehgal NL, Fox M, Vidyarthi AR, Sharpe BA, Gearhart S, Bookwalter T, et al. A multidisciplinary teamwork training program: the triad for optimal patient safety (TOPS) experience. J Gen Intern Med. 2008;23(12):2053–7.

69. King HB, Battles J, Baker DP, Alonso A, Salas E, Webster J, et al. TeamSTEPPS: team strategies and tools to enhance performance and patient safety. Rockville (MD): Agency for Healthcare Research and Quality (US); 2008.

70. Weaver SJ, Lubomksi LH, Wilson RF, Pfoh ER, Martinez KA, Dy SM. Promoting a culture of safety as a patient safety strategy. Ann Intern Med. 2016;158(5 Pt 2):369–74.

71. Camacho-Rodríguez DE, Carrasquilla-Baza DA, Dominguez-Cancino KA, Palmieri PA. Patient safety culture in Latin American hospitals: a systematic review with meta-analysis. Int J Environ Res Public Health. 2022;19(21):14380.

72. Azami-Aghdash S, Ebadifard Azar F, Rezapour A, Azami A, Rasi V, Klvany K. Patient safety culture in hospitals of Iran: a systematic review and meta-analysis. Med J Islam Repub Iran. 2015;29:251.

73. Olsen E, Leonardsen ACL. Use of the Hospital Survey of Patient Safety Culture in Norwegian hospitals: a systematic review. Int J Environ Res Public Health. 2021;18(12):6518.

74. Blazin LJ, Sitthi-Amorn J, Hoffman JM, Burlison JD. Improving patient handoffs and transitions through adaptation and implementation of I-PASS across multiple handoff settings. Pediatr Qual Saf. 2020;5(4):e323.

75. American College of Obstetricians and Gynecologists. Communication strategies for patient handoffs. Available from: https://www.acog.org/clinical/clinical-guidance/committee-opinion/articles/2012/02/communication-strategies-for-patient-handoffs.

76. Brattebø G, Flaatten HK. Errors in medicine: punishment versus learning medical adverse events revisited – expanding the frame. Curr Opin Anaesthesiol. 2023.

77. Wiese A, Bennett D. Orientation of medical trainees to a new clinical environment (the ready-steady-go model): a constructivist grounded theory study. BMC Med Educ. 2022;22(1).

78. Rahmani M. Medical trainees and the Dunning–Kruger effect: when they don't know what they don't know. J Grad Med Educ. 2020;12(5):532–4.

79. Doyen B, Vlerick P, Maertens H, Vermassen F, Van Herzeele I. Non-technical attributes and surgical experience: a cross-sectional study comparing communication styles and attitudes in surgical staff, trainees and applicants. Int J Surg. 2019;63:83–9.

80. de Lima Garcia C, Bezerra IMP, Ramos JLS, do Valle JETMR, Bezerra de Oliveira ML, Abreu LC. Association between culture of patient safety and burnout in pediatric hospitals. PLoS One. 2019;14(6):e0218756.

81. Profit J, Sharek PJ, Amspoker AB, Kowalkowski MA, Nisbet CC, Thomas EJ, et al. Burnout in the NICU setting and its relation to safety culture. BMJ Qual Saf. 2014;23(10):806–13.

82. Welp A, Meier LL, Manser T. Emotional exhaustion and workload predict clinician-rated and objective patient safety. Front Psychol. 2015;5:1573.

83. Granel N, Manresa-Domínguez JM, Watson CE, Gómez-Ibáñez R, Bernabeu-Tamayo MD. Nurses' perceptions of patient safety culture: a mixed-methods study. BMC Health Serv Res. 2020;20(1).

84. Kakemam E, Gharaee H, Rajabi MR, Nadernejad M, Khakdel Z, Raeissi P, et al. Nurses' perception of patient safety culture and its relationship with adverse events: a national questionnaire survey in Iran. BMC Nurs. 2021;20(1).


Ganesh Chilukuri, 1 First-year Medical Student, Drexel University College of Medicine, Philadelphia, USA

S. Thomas Westerman, 2 MD. Hahnemann Medical College, Drexel University College of Medicine, Clinical Professor, Department of Otolaryngology - Head & Neck Surgery, Philadelphia, USA

About the Author: Ganesh Chilukuri is a first-year medical student at Drexel University College of Medicine class of 2027.

Correspondence: Ganesh Chilukuri. Address: 2900 W Queen Ln, Philadelphia, PA 19129, USA. Email: chganesh23@gmail.com

Editor: Francisco J. Bonilla-Escobar; Student Editors: Richard Christian Suteja, Khulud Nurani & Talha Chaudhry; Copyeditor: Adnan Mujanovic; Proofreader: Amy Phelan; Layout Editor: Julian A. Zapata-Rios; Process: Peer-reviewed

Supplementary Material Table 1.

Search Strategies for Each Database Consulted for Study Selection.

Database Search Query
Scopus TITLE-ABS-KEY (“Patient Safety Culture” AND (“hsopsc” OR “sops”)) AND (LIMIT- TO (LANGUAGE, “English”))
Embase SEARCH: 'patient safety culture' AND ('hsopsc' OR 'sops') AND [english]/lim
Web of Science TS=(Patient safety culture AND (hsopsc OR sops))
Refine by Languages: English
PubMed (Medline) (“Patient safety culture”[All Fields] AND (“hsopsc”[All Fields] OR “sops”[All Fields])) AND (english[Filter])
AHRQ Browse bibliography for relevant articles according to the inclusion and exclusion criteria. Filters can be applied to limit bibliography to the United States and hospital settings. Articles in the AHRQ SOPS bibliography are accessible with but NOT limited to the four databases mentioned above.

Cite as Chilukuri G, Westerman S.T, Healthcare Workers' Perceptions of Patient Safety Culture in United States Hospitals: A Systematic Review and Meta-Analysis. Int J Med Stud. 2024 Oct-Dec;12(4):422-436.


Copyright © 2024 Ganesh Chilukuri, S. Thomas Westerman

This work is licensed under a Creative Commons Attribution 4.0 International License.



International Journal of Medical Students, VOLUME 12, NUMBER 4, December 2024