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. 2018 Mar 6;18:158. doi: 10.1186/s12913-018-2960-x

Baseline assessment of patient safety culture in public hospitals in Kuwait

Hayfaa Ali 1, Samaa Zenhom Ibrahem 1,2, Buthaina Al Mudaf 1, Talal Al Fadalah 1, Diana Jamal 3, Fadi El-Jardali 3,
PMCID: PMC5840785  PMID: 29510705

Background

Patient safety culture reflect the values that members of the organization share regarding what is important, how things operate and how inter-departmental interactions, structures and systems are collectively manifested in behavioural norms that support patient safety [1]. It reflects a non-punitive organizational culture that encourages reporting, analysing and learning from medical errors [2]. Ever since the Institute of Medicine (IOM) recommended a patient safety culture for building safety into the processes of care [2], evidence has been accumulating on the importance of cultivating patient safety culture to reduce adverse events and improve patient safety.

Conducting an assessment of patient safety culture in hospitals is only the first step of defining and refining a solid safety culture [3]. Multiple international accreditation organizations have now require patient safety culture assessments within their standards so that hospitals can assess and evaluate issues such as teamwork, managerial actions, support from upper administration and leadership to support patient safety, staffing challenges, reporting of incidents, and other related issues [4]. This allows healthcare organizations to develop a clearer view of the areas where they need to focus their attention as part of their efforts to strengthen patient safety culture [5]. Furthermore, when hospitals conduct such assessments, they can also benchmark their results against similar initiatives conducted within their country or at an international level [6].

Before we embark onto developing and improving patient safety culture we must first diagnose its current state and patient safety culture surveys are pivotal to assess areas of strengths and weaknesses in patient safety culture. The most commonly used patient safety culture survey is the Hospital Survey on Patient Safety Culture (HSOPSC) which assesses patient safety culture based on 12 dimensions: Teamwork within Units, Supervisor/manager Expectations and Actions Promoting Patient Safety, Organizational Learning and Continuous Improvement, Management Support for Patient Safety, Overall Perceptions of Patient Safety, Feedback and Communication about Error, Communication Openness, Frequency of Events Reported, Teamwork across Units, Handoffs and Transitions, Staffing and Non punitive Response to Error [7]. The HSOPSC survey, which was developed by the Agency for Healthcare Research and Quality (AHRQ), has immense international reverberation as it has been validated and used in different continents and contexts [8].

Multiple studies and systematic reviews have tackled the issue of patient safety culture in the Arab world and beyond. A systematic review targeting Arab countries identified non-punitive response to error as a major challenge and healthcare professionals in these countries reported that culture of blame prevents them from reporting incidents [9]. Challenges pertaining to non-punitive response to error were also highlighted in Swedish hospitals [10], Tunisian operating rooms [11], and Iran [12]. Focusing on improving response to error is crucial to improving error reporting and in fact, the likelihood of voluntary incident reporting was found to improve by focusing efforts on cultural changes such as improving event feedback mechanisms and communication of event-related improvements [13]. Evidence has shown that feedback can positively stimulate improvement in patient safety culture if it is tailored to specific departments and if outcomes were comprehensible for intended users [14]. Other areas requiring improvement were also highlighted in related evidence. They included Teamwork across Units, Handoffs and Transitions, Staffing and Communication Openness [15].

Many areas of strength were also highlighted in the patient safety culture literature whereby a study in Iran found that organizational learning-continuous improvement, teamwork within hospital units, and hospital management support for patient safety were all areas of strength [12]. Moreover, teamwork within units was better than teamwork across hospital units in Arab countries [9]. When assessing findings in specific countries, areas of strength in Lebanese hospitals were mainly related to Teamwork within Units, Management Support for Patient Safety, and Organizational Learning and Continuous Improvement [15]. As for KSA, and specifically Riyadh, areas of strength related to Organizational Learning and Continuous Improvement and Teamwork within units [16].

Predictors of a strong and positive patient safety culture include communication, ensuring flow of information between and across units, sharing a common vision on patient safety, in addition to commitment from management and leadership, and a non-punitive outlook towards incident reporting [17]. Investing in patient safety culture and quality management systems has been highlighted in recent studies in the Arab world [11]. Improving patient safety culture may also indirectly improve consumer-focused publicly reported hospital rating scores [18].

Limited research was found in the context of Kuwait. One study focusing on patient safety culture in primary care settings identified non - punitive response to errors, frequency of event reporting, staffing, communication openness, and handoffs and transitions as areas of weakness. Areas of strength were identified as teamwork within units and organizational learning [19]. This study, however, used the hospital survey for primary care settings, a tool specific to medical offices is available on the AHRQ website. No other studies focusing on patient safety culture in Kuwait were identified.

Objectives

The study aimed at assessing patient safety culture in public hospitals in Kuwait as perceived by hospital staff and compare results to those of similar regional and international studies. Furthermore, the study explored the association between patient safety culture predictors and outcomes, taking into consideration respondent characteristics.

Methods

This cross sectional study utilized the Hospital Survey on Patient Safety Culture (HSOPSC) developed by the Agency for Healthcare Research and Quality. The survey has been customized to fit the context of Kuwait.

Setting

The survey covered 16 public hospitals in Kuwait; two of the hospitals were small-sized (< 100 beds), another two were medium-sized (101–300 beds), and the remaining 12 hospitals were large (more than 300 beds). There are 20 public hospitals in Kuwait, however, we selected 16 hospitals as the remaining facilities had only recently been established and as such did not meet our inclusion criteria as detailed below.

Sampling and data collection

The survey targeted selected hospital staff including physicians, nurses, pharmacy and laboratory staff, dietary and radiology staff, supervisors, and hospital managers. Data collection spanned 8 months (April to November 2015). Healthcare providers in the below mentioned categories were included in the study:

  • Healthcare organization leaders (Hospital Director, Deputy Director, Assistant director).

  • Heads of administrative departments (Social Services, Public Relations, Medical Records, Hotel Services, Accounting Services, Engineering, inventory, etc.).

  • Physicians of all specialties and ranks (including those working in radiology, laboratory, nuclear medicine, etc.)

  • Pharmacists

  • Nurses

  • Dieticians

  • Infection control physicians and nurses including sterilization department staff.

  • Quality physicians and nurses

  • Physical, occupational, and speech therapist/ technicians

  • Technicians (sterilization, lab, radiology, anaesthesia, pharmacy etc.)

  • Medical engineering staff

  • Medical records staff

Exclusion criteria:

  • Staff on administrative or extended sick leave,

  • Staff who have moved to another hospital area/unit, and

  • Staff with less than 1 year of experience in the hospital.

Surveys were distributed through an assigned focal person at every hospital. A pre-determined number of surveys were sent to each hospital based on the total number of eligible employees. The surveys were coded with two numbers, one representing the hospital and the other representing the survey. Focal people were asked not to make copies of the survey so as not to jeopardize the integrity of the coding scheme determined by the research team. Surveys were distributed during department meetings or via departmental secretaries. Respondents were asked to refrain from writing their names or any information that would identify them on any page of the survey but they were asked to sign the consent form to verify that they read the information provided in it. They were asked to complete the survey and enclose it in a provided envelope, seal the envelope and return to a confidential drop box within each department.

Study instrument

The HSOPSC survey was utilized. The tool was translated to Arabic to account for employees who are not very comfortable with English. The Arabic version of the survey was adapted from El-Jardali et al. [15, 20].

Pilot testing was conducted with 20 employees who did not participate in the consequent phases of the study. Minor changes were made to the wording and categories within some questions as a result of piloting.

Ethical approval

Ethical clearance to conduct the survey was provided by the Standing Committee for Coordination of Health and Medical Research in Kuwait.

Data management and analysis

Data was analyzed using SPSS 24.0 (p-value = 0.05). The survey tool includes 42 items which measure 12 composites. The items are both positively and negatively wordedwhich are scored using a five-point scale reflecting respondent agreement/frequency (including a neutral category). Percent positive response within each composite was calculated. Negatively worded items were reversed prior to calculation of percent positive per composite. The full calculation method has been mentioned in El-Jardali et al. [15, 20] Internal consistency was calculated using Cronbach’s alpha.

The survey has a total of 4 outcome variables. The first two are frequency of events reported and overall perception of safety which are measured within the 12 composites [7]. The remaining two outcome variables are the patient safety grade and the number of events reported which are measured as separate multiple choice questions [7].

Bi-variate analysis included ANOVA f-test was used to examine the association between the two outcome variables with the patient safety culture composites. Student T-Test and ANOVA f-test were then used to examine how trends in the outcome variables differ across hospital and respondent characteristics.

The four outcome variables were regressed against the 10 composite scores, respondent and hospital characteristics. Four regression models were constructed, two adopted Generalized Estimating Equations (the two categorical outcome variables: number of events reported and patient safety grade) and the other two models followed a Linear Mixed Regression Model (the two composites for frequency of events reported and overall perception of safety). In the latter models, the independent variables were entered as dummy variables. The two categorical outcomes were recoded into fewer categories for the purpose of this analysis. The outcome on patient safety grade was recoded into three categories “Poor or Failing,” “Acceptable,” and “Excellent/Good.” The outcome on number of events reported was recoded into “> 5 events reported,” “1 to 5 events reported,” and “No events reported.”

Results from the 16 participating hospitals were also benchmarked against similar initiatives in the United States (US) [21] and Lebanon [20]. Comparison to the benchmark value was done using the below formula [7]:

%Distance from benchmark = ((benchmark value – hospital result)/benchmark value) ∗ 100

Values below 10% were categorized as meeting or exceeding benchmark. Those between 10 and 50% were categorized as slightly deviating from benchmark. Those exceeding 50% were categorized as highly deviating from benchmark.

Results

A total of 12,871 employees from 16 public hospitals in Kuwait completed the patient safety culture survey. However, some hospitals sampled respondents with less than 1 year of experience, and as such these 779 responses were removed from the dataset giving a total of 12,092 surveys. The overall response rate based on the final 12,092 surveys was 60.5% (20,003 distributed surveys).

Demographics

The majority of the sampled respondents were female (71.4%) and most were found to hold a university level degree (72.3%). Most of the sampled respondents were found to be nurses (66.8%), while 11.9% were physicians and 11.5% technicians. The majority of respondents (91.6%) indicated having patient interaction. Moreover, 86.4% were non-Kuwaiti. Finally, the majority of respondents worked in large hospitals (94.4%) while 3.2% worked in small hospitals and 2.4% worked in medium hospitals (See Table 1).

Table 1.

Demographic characteristics of sample

Number Percent
Gender
 Male 3406 28.6
 Female 8508 71.4
Education
 High school or below 572 4.8
 University 8551 72.3
 Technical 2573 21.7
 Other 137 1.2
Profession
 Physician 1425 11.9
 Pharmacist 283 2.4
 Nurse 7987 66.8
 Physiotherapist 434 3.6
 Technician 1381 11.5
 Nutritionist/Dietician 84 0.7
 Administration 121 1
 Medical Records 191 1.6
 Others 56 0.5
Experience in Hospital
 Physician 1425 11.9
 Pharmacist 283 2.4
 Nurse 7987 66.8
 Physiotherapist 434 3.6
 Technician 1381 11.5
 Nutritionist/Dietician 84 0.7
 Administration 121 1
 Medical Records 191 1.6
 Others 56 0.5
Interaction with patients
 Yes 10,838 91.6
 No 993 8.4
Nationality
 Kuwaiti 1609 13.6
 Non-Kuwaiti 10,255 86.4

Areas of strengths and areas requiring improvement

The twelve dimensions were examined to determine areas of strength (those with a positive rating of 70% or higher) and those requiring improvement (scoring below 70%) [22].

The dimensions with the highest positive score and are thus considered areas of strength were Teamwork within Units (89.7%), Organizational Learning—Continuous Improvement (86.1%), Management Support for Patient Safety (77.8%), Supervisor/Manager Expectations & Actions Promoting Patient Safety (77.1%), and Feedback and Communication about Error (70.7%). The remaining seven dimensions can be considered areas requiring improvement, they are teamwork across units (64.1%), handoffs and transitions (62.2%), overall perception of patient safety (60.6%), frequency of events reported (59.0%), communication openness (46.9%), staffing (39.9%) and non-punitive response to error (27.7%) (Table 2).

Table 2.

Percent positive per item and per subscale*

% Positive % Neutral % Negative
1. Teamwork Within Units
 People support one another in this unit. (A1) 94.9 2.9 2.2
 When a lot of work needs to be done quickly, we work together as a team to get the work done. (A3) 93.1 4.1 2.9
 In this unit, people treat each other with respect. (A4) 90.9 6.1 3.1
 When one area in this unit gets really busy, others help out. (A11) 79.9 8.8 11.3
 Average Teamwork Within Units 89.7 5.5 4.9
2. Supervisor/Manager Expectations & Actions Promoting Patient Safety
 My supervisor/manager says a good word when he/she sees a job done according to established patient safety procedures. (B1) 80.4 11.3 8.2
 My supervisor/manager seriously considers staff suggestions for improving patient safety. (B2) 83.9 10.0 6.1
 Whenever pressure builds up, my supervisor/manager wants us to work faster, even if it means taking shortcuts. (B3R) 61.3 17.5 21.2
 My supervisor/manager overlooks patient safety problems that happen over and over. (B4R) 82.6 8.0 9.4
 Average Supervisor/Manager Expectations & Actions Promoting Patient Safety 77.1 11.7 11.2
3. Organizational Learning—Continuous Improvement
 We are actively doing things to improve patient safety. (A6) 95.1 3.1 1.8
 Mistakes have led to positive changes here. (A9) 76.0 14.1 9.9
 After we make changes to improve patient safety, we evaluate their effectiveness. (A13) 87.2 8.0 4.7
 Average Organizational Learning—Continuous Improvement 86.1 8.4 5.5
4. Management Support for Patient Safety
 Hospital management provides a work climate that promotes patient safety. (F1) 81.3 10.4 8.3
 The actions of hospital management show that patient safety is a top priority. (F8) 86.1 8.5 5.4
 Hospital management seems interested in patient safety only after an adverse event happens. (F9R) 65.9 13.7 20.4
 Average Management Support for Patient Safety 77.8 10.9 11.4
5. Overall Perceptions of Patient Safety
 It is just by chance that more serious mistakes don’t happen around here. (A10R) 36.2 15.1 48.6
 Patient safety is never sacrificed to get more work done. (A15) 79.7 6.1 14.3
 We have patient safety problems in this unit. (A17R) 45.2 15.6 39.2
 Our procedures and systems are good at preventing errors from happening. (A18) 81.1 10.6 8.2
 Average Overall Perceptions of Patient Safety 60.6 11.9 27.6
6. Feedback and Communication About Error
 We are given feedback about changes put into place based on event reports. (C1) 50.8 29.6 19.6
 We are informed about errors that happen in this unit. (C3) 79.9 14.1 6.1
 In this unit, we discuss ways to prevent errors from happening again. (C5) 81.5 12.7 5.8
 Average Feedback and Communication About Error 70.7 18.8 10.5
7. Communication Openness
 Staff will freely speak up if they see something that may negatively affect patient care. (C2) 67.7 20.7 11.6
 Staff feel free to question the decisions or actions of those with more authority. (C4) 30.0 28.3 41.7
 Staff are afraid to ask questions when something does not seem right. (C6R) 43.1 36.7 20.2
 Average Communication Openness 46.9 28.6 24.5
8. Frequency of Events Reported
 When a mistake is made, but is caught and corrected before affecting the patient, how often is this reported? (D1) 55.5 20.4 24.1
 When a mistake is made, but has no potential to harm the patient, how often is this reported? (D2) 54.7 21.7 23.6
 When a mistake is made that could harm the patient, but does not, how often is this reported? (D3) 66.9 14.3 18.8
 Average Frequency of Events Reported 59.0 18.8 22.2
9. Teamwork Across Units
 Hospital units do not coordinate well with each other. (F2R) 55.9 16.5 27.7
 There is good cooperation among hospital units that need to work together. (F4) 71.1 15.6 13.3
 It is often unpleasant to work with staff from other hospital units. (F6R) 46.3 21.1 32.6
 Hospital units work well together to provide the best care for patients. (F10) 82.9 10.7 6.4
 Average Teamwork Across Units 64.1 16.0 20.0
10. Staffing
 We have enough staff to handle the workload. (A2) 60.8 11.9 27.3
 Staff in this unit work longer hours than is best for patient care. (A5R) 27.6 16.7 55.7
 We use more agency/temporary staff than is best for patient care. (A7R) 52.5 19.5 27.9
 We work in “crisis mode” trying to do too much, too quickly. (A14R) 18.5 13.8 67.7
 Average Staffing 39.9 15.5 44.7
11. Handoffs & Transitions
 Things “fall between the cracks” when transferring patients from one unit to another. (F3R) 54.6 18.7 26.7
 Important patient care information is often lost during shift changes. (F5R) 75.5 12.5 12.1
 Problems often occur in the exchange of information across hospital units. (F7R) 48.5 24.2 27.3
 Shift changes are problematic for patients in this hospital. (F11R) 70.3 15.5 14.2
 Average Handoffs & Transitions 62.2 17.7 20.1
12. Non-punitive Response to Error
 Staff feel like their mistakes are held against them. (A8R) 29.5 19.5 50.9
 When an event is reported, it feels like the person is being written up, not the problem. (A12R) 38.1 18.4 43.4
 Staff worry that mistakes they make are kept in their personnel file. (A16R) 15.6 13.7 70.8
 Average Non-punitive Response to Error 27.7 17.2 55.0

*the composite-level percentage of positive responses was calculated using the following formula: (number of positive responses to the items in the composite/total number of responses to the items (positive, neutral, and negative) in the composite (excluding missing responses))*100

(R) Negatively worded items that were reverse coded

Items considered areas of strength and others which require improvement were examined. The biggest area of strength highlighted by the responses was the item related to the hospital taking action to improve patient safety to which percent positive response was 95.1%. Other areas of strength were revealed within the dimension on Teamwork within units whereby the item on whether staff support one another within a unit received 94.9% positive responses, working together as a team when a lot of work needs to be done quickly (93.1% positive) and treating each other with respect within the unit (90.9% positive) (See Table 2).

The area with the lowest percent positive related to the dimension on non-punitive response to error whereby staff worry that their mistakes are kept in their personnel files (15.6% positive, reverse item). Another item within this dimension that was found to be an area requiring improvement related to staff feeling their mistakes are held against them (29.5% positive, reverse item). The dimension on staffing also emerged as problematic as staff indicated trying to do too much too quickly when working in crisis mode (18.5% positive, reverse item). Moreover, 27.6% of responses indicate that staff work longer hours than is best for patient safety (reverse item). The dimension relating to communication openness was also found to be an area requiring improvement where only 30.0% of the staff feel free to question the decisions or actions of those with more authority and 43.1% only are not afraid to ask questions when something does not seem right (reverse item).

Results on areas of strength and areas requiring improvement are fully detailed in Table 2.

Association between patient safety grade and number of events with composites

Respondents who gave “Excellent/Very Good” patient safety grades had significantly the highest mean scores for patient safety composites (See Table 3). Teamwork within Hospital Units and Organizational Learning-Continuous Improvement demonstrated the highest mean score in relation to patient safety grade, while the Non-punitive Response to Error and staffing scored the lowest in relation to patient safety grade. The number of events reported was significantly associated with all of the patient safety composites. The highest mean observed when reporting more than 5 events was for the composite measuring Teamwork within Hospital Units while the lowest was observed for Non-punitive Response to Error (Table 3).

Table 3.

Comparison between patient safety grade and number of events reported with patient safety culture composite scores (composites scored range from 1 to 5)

Patient Safety Grade Number of Events Reported
Sig. Poor or Failing Acceptable Excellent/ Very Good Sig. No event reports 1 to 5 event reports > 5 events reported
Mean (SD) Mean (SD) Mean (SD) Mean (SD) Mean (SD) Mean (SD)
Supervisor/manager expectations and actions promoting safety a,b,c 3.15 (0.88) 3.62 (0.62) 3.94 (0.56) 3.87 (0.60) 3.85 (0.60) 3.86 (0.61)
Organizational Learning-Continuous Improvement a,b,c 3.39 (0.89) 3.85 (0.61) 4.16 (0.47) a,b 4.07 (0.54) 4.10 (0.52) 4.13 (0.55)
Teamwork Within Hospital Units a,b,c 3.64 (0.92) 3.96 (0.62) 4.26 (0.49) 4.19 (0.56) 4.19 (0.52) 4.19 (0.58)
Communication Openness a,b,c 2.59 (0.94) 3.01 (0.83) 3.46 (0.80) a 3.40 (0.83) 3.31 (0.83) 3.35 (0.86)
Feedback and Communication About Errors a,b,c 2.87 (1.08) 3.60 (0.83) 4.10 (0.69) a,c 3.98 (0.78) 3.97 (0.75) 4.03 (0.76)
Non-punitive Response to Error b,c 2.38 (0.84) 2.44 (0.73) 2.69 (0.74) a,b 2.66 (0.74) 2.60 (0.76) 2.60 (0.76)
Staffing b,c 2.72 (0.62) 2.80 (0.55) 2.93 (0.55) a,b 2.92 (0.56) 2.87 (0.54) 2.84 (0.57)
Hospital Management Support for Patient Safety a,b,c 2.68 (0.93) 3.44 (0.69) 3.96 (0.61) a,b 3.88 (0.69) 3.80 (0.67) 3.74 (0.78)
Hospital Handoffs and Transitions a,b,c 2.92 (0.88) 3.23 (0.75) 3.56 (0.71) a,b 3.51 (0.71) 3.47 (0.74) 3.36 (0.80)
Teamwork Across Hospital Units a,b,c 2.69 (0.85) 3.20 (0.67) 3.63 (0.63) a,b,c 3.56 (0.67) 3.50 (0.67) 3.44 (0.72)
Patient Safety Grade
a. Significant difference between “Poor or Failing” and “Acceptable”
b. Significant difference between “Poor or Failing” and “Excellent/Very Good”
c. Significant difference between “Acceptable” and “Excellent/Very Good”
Number of Events Reported
a. Significant difference between “No events reported” and “1 to 5 events reported”
b. Significant difference between “No events reported” and “>  5 events reported”
c. Significant difference between “1 to 5 events reported” and “>  5 events reported”

Generalized estimating equations

As detailed below, a one unit increase on composites relating to Supervisor/Manager Expectations & Actions Promoting Patient Safety, Organizational learning and Continuous Improvement, Teamwork within units, Communication Openness, Feedback and Communications about Error, Staffing, Hospital Management Support for Patient Safety, and Teamwork across Hospital Units resulted in higher odds of reporting better patient safety grades. Similarly, a one unit increase on composites relating to Organizational learning and Continuous Improvement and Feedback and Communications about Error resulted in greater odds of reporting higher number of events while a one unit increase on Staffing and Hospital Management Support for Patient Safety resulted in lower odds of reporting number of events (Table 4).

Table 4.

Generalized Estimating Equations

Patient Safety Grade Number of Events Reported
OR (95% CI) P-value OR (95% CI) P-value
Patient Safety Culture Composites
 Supervisor/Manager Expectations & Actions Promoting Patient Safety 0.73 (0.67–0.80) < 0.001 1.05 (0.95–1.16) 0.318
 Organizational learning and Continuous Improvement 0.65 (0.55–0.77) < 0.001 1.27 (1.16–1.39) < 0.001
 Teamwork within units 0.75 (0.68–0.83) < 0.001 1.05 (0.95–1.15) 0.347
 Communication Openness 0.78 (0.67–0.91) 0.002 0.91 (0.83–1.01) 0.077
 Feedback and Communications About Error 0.72 (0.63–0.83) < 0.001 1.10 (1.02–1.19) 0.018
 Non-punitive Response to Error 1.01 (0.89–1.15) 0.850 0.96 (0.86–1.07) 0.448
 Staffing 0.84 (0.72–0.97) 0.021 0.88 (0.78–0.99) 0.038
 Hospital Management Support for Patient Safety 0.47 (0.40–0.54) < 0.001 0.81 (0.71–0.92) 0.002
 Hospital Handoffs & Transitions 0.89 (0.75–1.06) 0.197 0.94 (0.86–1.02) 0.137
 Teamwork Across Hospital Units 0.81 (0.67–0.98) 0.027 0.94 (0.82–1.07) 0.318
Gender
 Male 1.11 (0.90–1.35) 0.300 1.14 (0.97–1.35) 0.122
 Female 1 1
Experience at the hospital
  < 5 years 0.87 (0.69–1.10) 0.237 1.12 (0.98–1.27) 0.086
 5 to 20 years 0.90 (0.74–1.10) 0.289 0.98 (0.83–1.15) 0.765
 More or equal to 21 years 1 1
Highest Degree
 High school or below 1.19 (0.71–2.02) 0.505 1.21 (0.74–1.98) 0.437
 University Degree 0.59 (0.35–1.00) 0.048 0.81 (0.55–1.19) 0.275
 Technical Degree 0.89 (0.58–1.35) 0.577 0.95 (0.64–1.41) 0.795
 Other 1 1
Position at the hospital
 Physician 1.15 (0.86–1.53) 0.344 0.57 (0.47–0.69) < 0.001
 Pharmacist 1.12 (0.69–1.83) 0.637 0.52 (0.32–0.82) 0.005
 Nurse 0.97 (0.73–1.29) 0.829 0.51 (0.43–0.59) < 0.001
 Admin 1.07 (0.61–1.87) 0.828 0.24 (0.14–0.43) < 0.001
 Other 1 1
Nationality
 Kuwaiti 0.68 (0.49–0.93) 0.016 1.20 (1.04–1.37) 0.010
 Non-Kuwaiti 1 1
Interaction with patients
 Yes 1.01 (0.76–1.32) 0.967 0.82 (0.68–0.98) 0.033
 No 1 1
Hospital Size
 Small 1.65 (1.17–2.33) 0.004 2.67 (2.17–3.30) < 0.001
 Medium 2.02 (0.85–4.79) 0.110 1.85 (1.07–3.20) 0.028
 Large 1 1

Respondents holding a university degree were less likely to report better patient safety grades than those holding “other” degrees. Physicians, pharmacists, nurses and administrative staff, all had lower odds of reporting higher number of events compared to “other staff”. Kuwaiti nationals had lower odds of reporting better patient safety grade but higher odds of reporting higher number of events compared to non-nationals. Respondents who had contact with patients had lower odds of reporting higher number of events compared to respondents with no patient contact. Respondents were more likely to report better patient safety grade as hospital size increased from small to medium. The opposite was observed for number of events where odds of reporting higher number of events decreased with increasing hospital size (Table 4).

Linear mixed model regression

The Linear regression analysis in Table 5 showed that a one unit increase in the scores on Organizational learning and Continuous Improvement, Feedback and Communications about Error, Hospital Management Support for Patient Safety and Hospital Handoffs & Transitions resulted in higher frequency of events reporting. Similarly, a one unit increase in the scores on Supervisor/ Manager Expectations & Actions Promoting Patient Safety, Organizational learning and Continuous Improvement, Teamwork within units, Communication Openness, Non-punitive Response to Error, Staffing, Hospital Management Support for Patient Safety and Hospital Handoffs & Transitions resulted in a higher perceived patient safety. However, a one unit increase on Teamwork across Hospital Units resulted in a lower perceived patient safety (Table 5).

Table 5.

Linear Mixed Model Regression

Frequency of Events Reported Perception of Patient Safety
Beta (Standard Error) P-value Beta (Standard Error) P-value
Patient Safety Culture Composites
 Supervisor/ Manager Expectations & Actions Promoting Patient Safety 0.03 (0.02) 0.112 0.12 (0.01) < 0.001
 Organizational learning and Continuous Improvement 0.09 (0.02) < 0.001 0.13 (0.01) < 0.001
 Teamwork within units 0.01 (0.02) 0.796 0.10 (0.01) < 0.001
 Communication Openness 0.02 (0.01) 0.249 0.02 (0.01) 0.002
 Feedback and Communications About Error 0.32 (0.02) < 0.001 −0.01 (0.01) 0.322
 Non-punitive Response to Error 0.02 (0.01) 0.150 0.03 (0.01) < 0.001
 Staffing −0.01 (0.02) 0.457 0.11 (0.01) < 0.001
 Hospital Management Support for Patient Safety 0.07 (0.02) < 0.001 0.12 (0.01) < 0.001
 Hospital Handoffs & Transitions 0.07 (0.02) < 0.001 0.09 (0.01) < 0.001
 Teamwork Across Hospital Units −0.02 (0.02) 0.200 −0.04 (0.01) < 0.001
Gender
 Male −0.08 (0.02) < 0.001 0.05 (0.01) < 0.001
 Female 0 0
Highest Degree
 High School or below 0.05 (0.10) 0.598 0.16 (0.05) 0.001
 University or Higher Degree −0.17 (0.09) 0.046 0.16 (0.04) < 0.001
 Technical Degree −0.10 (0.09) 0.283 0.18 (0.04) < 0.001
 Other 0 0
Experience at the hospital
  < 5 years 0.05 (0.03) 0.112 0.01 (0.02) 0.680
 5 to 20 years 0.01 (0.03) 0.825 −0.01 (0.02) 0.422
 More or equal to 21 years 0 0
Profession
 Physician −0.26 (0.14) 0.064 −0.11 (0.07) 0.116
 Pharmacist −0.25 (0.15) 0.097 0.00 (0.08) 0.996
 Nurse −0.44 (0.14) 0.002 0.13 (0.07) 0.059
 Physiotherapist −0.18 (0.15) 0.220 −0.08 (0.07) 0.292
 Technician −0.22 (0.14) 0.125 −0.05 (0.07) 0.484
 Nutritionist −0.18 (0.18) 0.305 0.09 (0.09) 0.314
 Administrative −0.30 (0.17) 0.073 0.09 (0.08) 0.255
 Medical Records −0.48 (0.16) 0.002 0.03 (0.08) 0.679
 Other 0 0
Nationality
 Kuwaiti −0.09 (0.03) 0.005 0.08 (0.02) < 0.001
 Non-Kuwaiti 0 0
Interaction with patients
 Yes 0.07 (0.04) 0.052 0.02 (0.02) 0.386
 No 0 0
Hospital Size
 Small 0.14 (0.08) 0.127 0.05 (20.73) 0.664
 Medium 0.05 (0.09) 0.593 0.05 (24.09) 0.182
 Large 0 0

Male respondents were more likely to report lower frequency of events but more like to report a higher perceived patient safety. Respondents holding university degrees were more likely to report higher frequency of events. As for perception of patient safety, respondents holding university and technical degree were both more likely to report better perception. Nurses and Medical Records staff were more likely to report a lower frequency of events. Kuwaiti nationals were less like to report higher number of events but more likely to report a higher perceived patient safety grade (Table 5).

Benchmarking

In Table 6, the results are compared to the US benchmark. This benchmark was selected since it is the most recent (2013–2014) and reflects the results of a nation-wide survey. Results are also compared to national surveys from Lebanon [15] and KSA [16]. Kuwait results were at or better than US benchmark for the seven composites: Teamwork within units, Supervisor/manager expectations and actions promoting patient safety, Organizational learning-continuous improvement, Management Support for Patient Safety, Overall perception of patient safety, Feedback and communication about error, Teamwork across hospital units, and Hospital handoffs and transitions. Kuwait had composites scores that were at or better than benchmark for Lebanon for eight of the composites: Teamwork within units, Supervisor/manager expectations and actions promoting patient safety, Organizational learning-continuous improvement, Management Support for Patient Safety, Feedback and communication about error, Teamwork across hospital units, Staffing and Hospital handoffs and transitions. When compared with KSA, Kuwait results were at or better than benchmark for nine of the composites: Teamwork within units, Supervisor/manager expectations and actions promoting patient safety, Organizational learning-continuous improvement, Management Support for Patient Safety, Overall perception of patient safety, Feedback and communication about error, Communication openness, Frequency of events reported, Teamwork across hospital units, Staffing, Hospital handoffs and transitions, and Non-punitive response to error. Five dimensions deviated slightly from benchmark when comparing results to the US. When comparing results to Lebanon, four composites differed slightly from the benchmark and three when comparing results to KSA. However, none of the composites were found to be worse than US, Lebanon, or KSA (Table 6).

Table 6.

Benchmarking Percent Positive on Survey Composites from Kuwait against those in US, Lebanon and KSA

Composite Kuwait Benchmark US Benchmark Lebanon Benchmark KSA
Teamwork within units 89.7% 81% 82.3% 78.50%
Supervisor/manager expectations and actions promoting patient safety 77.0% 76% 66.4% 60.60%
Organizational learning-continuous improvement 86.1% 73% 78.3% 79.60%
Management Support for Patient Safety 77.7% 72% 78.4% 71.40%
Overall perception of patient safety 60.5% 66% 72.5% 58.20%
Feedback and communication about error 70.6% 67% 68.1% 63.30%
Communication openness 47.2% 62% 57.3% 42.90%
Frequency of events reported 58.8% 66% 68.2% 59.40%
Teamwork across hospital units 63.8% 61% 56.0% 61.60%
Staffing 39.6% 55% 36.8% 35.10%
Hospital handoffs and transitions 61.9% 47% 49.7% 51.50%
Non-punitive response to error 27.6% 44% 24.3% 26.80%

☑Meets or better than benchmark (results within 10% of benchmark)

▣Deviates slightly from benchmark (results 10–50% from benchmark)

☒ Deviation from benchmark (results exceeding 50% difference with benchmark)

Discussion

This is the first major study addressing patient safety culture in public hospitals in Kuwait. Despite having some areas for improvement, public hospitals in Kuwait were found to have multiple areas of strength especially with unit-level dimensions. Some critical unit-level dimensions such as staffing, communication openness, and non-punitive response to error are highly determined by overall hospital culture and systems that enable action within these dimensions. Hospital management should work hard on addressing these issues to improve reporting, overall perception of patient safety and patient safety grade.

The composite on non-punitive response scored lowest which is consistent with findings in the region and across the world. This reflects a need to invest in system improvement initiatives and strengthen patient safety culture when trying to addressing medical errors. Hospitals that have poorly developed and ineffective policies cannot prevent errors and as a result, cannot improve reporting and ultimately impact patient safety [23]. Fear of punishment has been consistently found to reduce frequency of error reporting [24] and this is confirmed in regression findings.

The finding linking better events reporting with the composite on Management Support of Patient Safety supports evidence that links supervisory communication to improved patient safety culture. Engaging staff, discussing quality challenges, and collectively developing solutions gives employees ownership and pride in improving patient safety [25]. Findings clearly demonstrate the need to encourage health professionals to report more events given their impact in improving patient safety. The three major components of a positive patient safety culture are: a just culture, a reporting culture, and a learning culture [26]. Better reporting is highly dependent on having a non-punitive environment where employees do not fear reporting events [5]. A punitive work environment is not a strange concept to hospitals in the region as it was reported to be an area for improvement in Lebanon and KSA [15, 16].

The association between hospital size and patient safety culture outcomes is also of note. In particular, medium-sized and small-sized hospitals were found to have better reporting of events and better patient safety grade. This is consistent with research that states that large hospitals face challenges in the implementation of quality improvement initiatives because of bureaucracy while smaller hospitals with a more homogenous culture are more likely to have staff members who share similar values [27].

Findings in this study showed that nurses are likely to report less events. This is critical as evidence in the literature indicate that nurses intercept 86% of potential errors [28]. Moreover, errors often go underreported for a multitude of reasons such as fear, humiliation, a punitive culture of reporting, or limited follow up after reporting an error [29].

Regression results indicate that employees who reported interaction with patients had fewer number of events and lower frequency of events reported. This is contrary to evidence in the literature which indicates that employees who have less interaction with patients are more at ease when reporting errors [30].

Benchmarking revealed many areas where Kuwaiti hospitals are performing at or better than benchmark and other areas of slight deviation. No major deviation from utilized benchmarks were observed. Comparing country findings to regional and international results can help hospital sets improvement goals and visualize their performance in comparison to others.

The main strength of this article lies in using a widely used and validated tool for assessing the culture of safety in hospitals at a national level. This study also utilized the Arabic version of the survey which was translated and validated in other Arab countries [15, 16, 20]. One limitation that should be highlighted is that nurses make up the majority of the sampled respondents. However, nurses comprise the majority of healthcare providers in most countries [31]. Despite having low representation from physicians, we were able to obtain input from a wide range of healthcare providers which can give a more comprehensive view on patient safety culture. Finally, the majority of respondents were non-Kuwaitis. However, that reflects the demographic distribution of the country and not only hospitals.

Conclusion

This is the first large scale study that assesses patient safety culture in public hospitals in Kuwait. Improving patient safety culture is a critical if hospitals want to improve quality and safety of medical services. The overall culture within a hospital can reflect on the actions of hospitals with regard to safety and this can be revealed in patient outcomes. Study findings can guide and inform country level strategies to further improve the systems governing patient safety practices. Comparing findings to performance of other countries in the region can help hospitals and leaders visualize performance and set realistic targets for improvement. Investing in areas that affect overall patient safety culture, particularly event reporting, should be done if tangible improvement is to be made.

Acknowledgements

Authors would like to thank the Ministry of Health, State of Kuwait for funding this research. Authors would also like to thank the administrators of the participating governmental Health Care Organizations in Kuwait for facilitating this work. Special thanks go to all health professionals who participated in this national study. Thanks are also due to the data entry personnel for their efforts.

Funding

No funding was provided for conducting this study.

Availability of data and materials

Kindly contact the corresponding author for a copy of the dataset. Requests will be reviewed by the study team before they are sent.

Abbreviations

CI

Confidence interval

HSOPSC

Hospital survey on patient safety culture

KSA

Kingdom of Saudi Arabia

OR

Odds ratio

PSC

Patient safety culture

SD

Standard deviation

US

United States

Authors’ contributions

HA, SZI, BAM, TAF, and FEJ contributed to the study design, manuscript development and review. HA, SZI, BAM, and TAF contributed to data collection and review. DJ contributed to data validation, data analysis and manuscript review. FE contributed to data analysis, manuscript development and review. All authors read and approved the final version of the manuscript.

Ethics approval and consent to participate

Ethical clearance to conduct the survey was provided by the Standing Committee for Coordination of Health and Medical Research in Kuwait. Informed consent was obtained from all survey participants.

Consent for publication

Not Applicable

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Hayfaa Ali, Email: hayfaali@hotmail.com.

Samaa Zenhom Ibrahem, Email: Samaazenhom@gmail.com.

Buthaina Al Mudaf, Email: Bezan2002@hotmail.com.

Talal Al Fadalah, Email: talfadalah@gmail.com.

Diana Jamal, Email: dj06@aub.edu.lb.

Fadi El-Jardali, Email: fe08@aub.edu.lb.

References

  • 1.Singer S, et al. Relationship of safety climate and safety performance in hospitals. Health Serv Res. 2009;44(2 Pt 1):399–421. doi: 10.1111/j.1475-6773.2008.00918.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Kohn, LT, J. Corrigan, and MS Donaldson. To err is human: building a safer health system. 2000; Available from: https://www.ncbi.nlm.nih.gov/pubmed/25077248. Accessed 28 Feb 2018. [PubMed]
  • 3.Hellings J, et al. Challenging patient safety culture: survey results. Int J Health Care Qual Assur. 2007;20(7):620–632. doi: 10.1108/09526860710822752. [DOI] [PubMed] [Google Scholar]
  • 4.Deilkas ET, Hofoss D. Psychometric properties of the Norwegian version of the safety attitudes questionnaire (SAQ), generic version (short form 2006) BMC Health Serv Res. 2008;8:191. doi: 10.1186/1472-6963-8-191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Smits M, et al. Measuring patient safety culture: an assessment of the clustering of responses at unit level and hospital level. Qual Saf Health Care. 2009;18(4):292–296. doi: 10.1136/qshc.2007.025965. [DOI] [PubMed] [Google Scholar]
  • 6.Blegen MA, et al. AHRQ's hospital survey on patient safety culture: psychometric analyses. J Patient Saf. 2009;5(3):139–144. doi: 10.1097/PTS.0b013e3181b53f6e. [DOI] [PubMed] [Google Scholar]
  • 7.Quality, A.f.H.R.a. National Healthcare Quality and Disparities Report 2016 [cited 2016 7/5/2016]; Available from: https://nhqrnet.ahrq.gov/inhqrdr/. Accessed 28 Feb 2018.
  • 8.Viana De Lima Neto A, et al. Patient safety culture in health organizations: scoping review. Int Arch Med. 2017;10(74). 10.3823/2344.
  • 9.Elmontsri M, et al. Status of patient safety culture in Arab countries: a systematic review. 2017;7(2):e013487. 10.1136/bmjopen-2016-013487. [DOI] [PMC free article] [PubMed]
  • 10.Danielsson M, et al. A National Study of patient safety culture in hospitals in Sweden. J Patient Saf. 2017; 10.1097/PTS.0000000000000369 [DOI] [PMC free article] [PubMed]
  • 11.Mallouli M, et al. Assessing patient safety culture in Tunisian operating rooms: a multicenter study. Int J Qual Health Care. 2017;29(2):176-182. 10.1093/intqhc/mzw157. [DOI] [PubMed]
  • 12.Raeissi P, Reisi N, Nasiripour AA. Assessment of patient safety culture in Iranian academic hospitals: strengths and weaknesses. J Patient Saf. 2015; [DOI] [PubMed]
  • 13.Burlison JD, et al. A multilevel analysis of U.S. hospital patient safety culture relationships with perceptions of voluntary event reporting. J Patient Saf. 2016; [DOI] [PMC free article] [PubMed]
  • 14.Zwijnenberg NC, et al. Healthcare professionals' views on feedback of a patient safety culture assessment. BMC Health Serv Res. 2016;16:199. doi: 10.1186/s12913-016-1404-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.El-Jardali F, et al. The current state of patient safety culture in Lebanese hospitals: a study at baseline. Int J Qual Health Care. 2010;22(5):386–395. doi: 10.1093/intqhc/mzq047. [DOI] [PubMed] [Google Scholar]
  • 16.El-Jardali F, et al. Patient safety culture in a large teaching hospital in Riyadh: baseline assessment, comparative analysis and opportunities for improvement. BMC Health Serv Res. 2014;14:122. doi: 10.1186/1472-6963-14-122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Sandars J, Cook G. ABC of patient safety. BMJ Books. 2009.
  • 18.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):143. doi: 10.1186/s12913-017-2078-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Ghobashi MER, Mosleh H, Al-Doseri F. Assessment of Patient Safety Culture in Primary Health Care Settings in Kuwait. Epidemiol Biostat Public Health. 2014;11(3):9. [Google Scholar]
  • 20.El-Jardali F, et al. Predictors and outcomes of patient safety culture in hospitals. BMC Health Serv Res. 2011;11:45. doi: 10.1186/1472-6963-11-45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Famolaro, T., et al., Hospital Survey on Patient Safety Culture 2016 User Comparative Database Report. 2016, [Agency for Healthcare Research and Quality][Rockville, MD].
  • 22.Sorra J, et al. Hospital survey on patient safety. Culture. 2004; Available from: http://purl.access.gpo.gov/GPO/LPS83504. Accessed 28 Feb 2018.
  • 23.Nieva, V.F. and J. Sorra, Safety culture assessment: a tool for improving patient safety in healthcare organizations. Qual Saf Health Care, 2003. 12 Suppl 2: p. ii17–23. [DOI] [PMC free article] [PubMed]
  • 24.Child AP, et al. Keeping patients safe: transforming the work environment of nurses. 2004; Available from: http://public.eblib.com/choice/publicfullrecord.aspx?p=3564029. Accessed 28 Feb 2018.
  • 25.Bradley EH, et al. The roles of senior management in quality improvement efforts: what are the key components? J Healthc Manag. 2003;48(1):15–28. doi: 10.1097/00115514-200301000-00005. [DOI] [PubMed] [Google Scholar]
  • 26.Jha AK, et al. Summary of the evidence on patient safety: implications for research. Geneva: World Health Organization; 2008. [Google Scholar]
  • 27.El-Jardali F. The impact of hospital rationalization and the interrelationships among organizational culture and nursing care processes on health related patient outcomes. Ottawa: National Library of Canada = Bibliothèque nationale du Canada; 2004. [Google Scholar]
  • 28.Leape LL, et al. The nature of adverse events in hospitalized patients. Results of the Harvard medical practice study II. N Engl J Med. 1991;324(6):377–384. doi: 10.1056/NEJM199102073240605. [DOI] [PubMed] [Google Scholar]
  • 29.VanGeest, J.B. and F. National Patient Safety, An educational needs assessment for improving patient safety: results of a national study of physicians and nurses. 2003, [Chicago, Ill.]: National Patient Safety Foundation.
  • 30.Jones KSA, Xu L, Sun J, Mueller K. In: AHRQ, editor. The AHRQ hospital survey on patient safety culture: a tool to plan and evaluate patient safety programs, T.A.f.H.R.a.Q. Rockville: Agency for Healthcare Research and Quality U.S. Department of Health and Human Services; 2008. [PubMed]
  • 31.Hughes RG. In: Hughes RG, editor. Tools and strategies for quality improvement and patient safety, in patient safety and quality: an evidence-based handbook for nurses. Rockville: Agency for Healthcare Research and Quality U.S. Department of Health and Human Services; 2008.

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Kindly contact the corresponding author for a copy of the dataset. Requests will be reviewed by the study team before they are sent.


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