Objectives The purpose of this study was to identify organisational processes and structures that are associated with nurse-reported patient safety and quality of nursing.
Design This is an observational cross-sectional study using survey methods.
Setting Respondents from 31 Norwegian hospitals with more than 85 beds were included in the survey.
Participants All registered nurses working in direct patient care in a position of 20% or more were invited to answer the survey. In this study, 3618 nurses from surgical and medical wards responded (response rate 58.9). Nurses' practice environment was defined as organisational processes and measured by the Nursing Work Index Revised and items from Hospital Survey on Patient Safety Culture.
Outcome measures Nurses' assessments of patient safety, quality of nursing, confidence in how their patients manage after discharge and frequency of adverse events were used as outcome measures.
Results Quality system, nurse–physician relation, patient safety management and staff adequacy were process measures associated with nurse-reported work-related and patient-related outcomes, but we found no associations with nurse participation, education and career and ward leadership. Most organisational structures were non-significant in the multilevel model except for nurses’ affiliations to medical department and hospital type.
Conclusions Organisational structures may have minor impact on how nurses perceive work-related and patient-related outcomes, but the findings in this study indicate that there is a considerable potential to address organisational design in improvement of patient safety and quality of care.
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Identifying organisational processes and structures associated to nurse-reported quality and patient safety in hospitals.
Increase knowledge about organisational design promoting patient safety among nurses as a microsystem of hospitals.
Addressing organisational design may have a considerable potential to improve patient safety and quality of care.
Strengths and limitations of this study
A considerable number of nurses have given their responses on a multicentre nurse survey providing a valuable data material.
Several aspects of the survey method may have influenced the results of this study.
The report ‘Crossing the quality chasm’ from the Institute of Medicine in 2001 called for a system change to improve safety in the healthcare services.1 The report led to establishment of patient safety programmes and healthcare reforms in many Western countries. The introduction of evidence-based practice, guidelines, performance measurements and feedback has characterised patient safety initiatives in hospitals during the last decade. Results from evaluations of the interventional efforts are inconsistent, and several authors have described a need to better understand how organisational features contribute to quality and patient safety in hospitals.2–4 The organisational climate is defined by the employees’ perceptions of these features, and might be understood as structural properties of the organisation and the organisational work environment.5 Both organisational structures (eg, hospital size and hospital volume) and organisational processes (eg, patient safety climate and perception of work environment) have been associated with safety outcomes.4–6
The system perspective is based on how input to the healthcare system is managed and how this input benefits the patients and society.1 Donabedian's model for quality serve as a framework to understand how hospital structures and processes contribute to healthcare outcomes and the model is modified by Battles et al to illustrate how processes exist within the structure of the healthcare system.7–9 Battles describes how adjustments of organisational structures and processes may contribute to a reduction of failures that cause adverse events. An organisational climate where processes and structures allow patient safety improvements is required to minimise the failures of care.3 ,9 Inertia of organisational change observed in healthcare institutions is suggested as one explanation for why the ‘progress of patient safety improvements has been slow’.3 A leadership with clear visions and strategies is a key to transformational change towards a patient safe organisation, and knowledge about how healthcare workers assess their work environment and patient safety in their work place should therefore be essential to these leaders.10
The growing body of evidence on how work environment is associated with healthcare performance support this view. In studies of physicians’ work environment associations with the quality of health service delivery have been presented and improvement of nurses’ work environment is suggested as a cost-effective strategy to improve patient outcomes.11–15 Several studies have presented associations between nurses’ work environment and patient outcomes like adverse events, risk-adjusted mortality and patient satisfaction.15–21 These are important studies identifying associations between patient outcome and features of the healthcare organisation. However, the way healthcare workers perceive and report patient safety serve as essential information to investigate how processes and structures support patient safe healthcare organisations.9 ,22 ,23
A few studies emphasise the differences in how professions perceive patient safety, and it may be useful to understand the attitudes and perceptions towards patient safety within professions.22 ,24–27 The planning and implementation of strategies and interventions to improve patient safety may also take such variations into account. Despite the fact that nurse-reported quality of care have been associated with failure to rescue, patient satisfaction and processes of care, a small number of studies have explored how nurse-reported patient safety is associated with work environment.28–33
Nurses constitute a large proportion of healthcare workers, and how they perceive an organisational design promoting patient safety is essential information about nurses as a microsystem.4 ,8 ,34 The purpose of this study was to identify organisational process measures in nurses’ work environment and hospital characteristics (organisational structure measures) that were associated with nurse-reported patient safety and quality of nursing. In particular, we were interested in which process measures remained after adjusting for organisational structure measures.
The theoretical approach of this observational cross-sectional study was based on Donabedian's dimensions of a quality model: structure, process and outcome. We modified Battles’ version of this model to illustrate how we applied hospital characteristics, nurses’ work environment and nurse-reported quality of nursing and patient safety to the model (figure 1). The readers should bear in mind that these variables only represent part of a complex reality.
This study involved a survey among nurses in surgical and medical wards in 35 Norwegian hospitals with more than 85 beds. Data collection was part of the European RN4 Cast study.11 A paper questionnaire, information letter, and return envelope were distributed through the nurses’ union representatives to 9548 nurses during the autumn of 2009. Registered nurses working in direct patient care in a position of 20% or more were included, and nurses on long-term leaves were excluded. Nurses received the questionnaire at their workplaces, and the distribution procedures included collection of information about nurses’ affiliations to hospital, department and ward. Personal reminders were not distributed as the respondents’ names and addresses were not available to the researchers. In some hospital wards the union representatives and/or nurse leaders gave collective reminders. The method of data collection and handling was approved by the Data Protection Official for Research.
Nurse-reported outcome measures
The use of self-reported outcomes in this study was necessary to describe how nurses perceived quality of nursing and patient safety at their work places. Single-item overall assessment of quality of nursing and patient safety were used as outcome variables as practiced in other studies investigating nurse-reported quality and patient safety.30–33 ,35 We defined four items as variables that describe how nurses report work performance; ‘work-related measures’, and how nurses describe patient outcomes, ‘patient-related measures’.
Work-related outcome measures
Quality of nursing: In general, how would you describe the quality of nursing care delivered to patients on your unit/ward? (four-point Likert-type scale where 1=poor, 2=fair, 3=good and 5=excellent, meaning that high scores indicate better quality).
Patient safety: Please give your department an overall grade on patient safety. (Five-point Likert-type scale where 1=failing, 2=poor, 3=acceptable, 4=very good and 5=excellent, meaning that high scores indicate better patient safety).
Patient-related outcome measures
Self-care ability: How confident are you that your patients are able to manage their care when discharged? (Four-point Likert-type scale where 1=not at all confident, 2=somewhat confident, 3=confident and 4=very confident, meaning that high scores indicate more confidence in how patients manage).
Low frequency of adverse events (AE): Nurses were also asked to estimate how frequently adverse events have happened to their patients on a seven-point Likert-type scale (1=never, 2=some times per year, 3=once a month or less, 4=some times per month, 5=once a week, 6=some times per week and 7=every day). We recoded the subscale into the opposite direction so that the lowest frequency was given the highest score (low frequency AE=preferably).
Different types of adverse events were subjects of the question and in this study we calculated the mean of the seven adverse events scores per nurse
Pressure ulcers after admission;
Patients received wrong medication, time or dose;
Patient falls with injury;
Urinary tract infections;
Complaints from patients or their families and
Organisational process measures
Nurses’ work environment was measured by the instrument Nursing Work Index (NWI)36 and a subscale including items from The Hospital Survey on Patient Safety Culture (HSOPSC).37 These variables were regarded as organisational processes and made the following variables:
Education and career;
Nurse physician relation and
Patient safety management.
The Norwegian version of NWI was translated and tested according to acknowledged procedures for questionnaire modifications between cultures.38 We performed an exploratory factor analysis to identify the factor structure of the Norwegian dataset. The subscales identified were used as explanatory variables in the study.
The items were four-point Likert-type scales, and high scores indicated agreement that the features were present in the job situation (1=strongly disagree, 2=somewhat disagree, 3=somewhat agree and 4=strongly agree). The scale scores were noted as missing if more than 50% of scores in the single items were missing.
Leadership is essential for the development of organisational/patient safety culture.37 ,39 ,40 Three items from the HSOPSC-questionnaire represented leadership topics such as performance feedback and actions showing that patient safety have priority in hospital management. We regarded a subscale of these items as process measure for the work environment. High scores indicated agreement that the items were present in the job situation (five-point Likert-type scale: 1=strongly disagree, 2=disagree, 3=neither, 4=agree and 5=strongly agree).
Organisational structure measures
Information about the hospitals were collected from public registers, reported from hospital administrators on our request or aggregated from the survey data.41 ,42 The following measures were used as organisational structure variables:
Nurse–patient ratio (number of nurse man-years per 10 000 patient days, 2009)42
Physician–patient ratio (number of physician man-years per 10 000 patient days, 2009)42
Index for patient mix (the ratio between the number of DRG-points and the number of admissions, 2009)41
Hospital size (number of beds, 2009)41
Hospital type (made as two dummy-variables):
Regional university hospital (reference value: local hospital)
Local university hospital (reference value: local hospital)
Bed occupancy (mean bed occupancy in percent for 2009, hospital reported)
Medical department (from the nurse survey: Nurses’ affiliation to medical department with reference value: surgical department)
Nurse experience (in years per hospital derived from survey data)
Regional university hospitals were defined as university hospitals with national responsibilities, while local university hospitals were defined as university hospitals without national responsibilities. All other hospitals were defined as ‘local hospitals’. We collected organisational structure measures to ensure validity and comparability for all hospitals included in the survey. The measures selected for this study was chosen after considerations of literature discussing the context of patient safety research and practices. Hospital type and size, patient clinical complexity and professional staffing are suggested as essential structural features.4 ,6 ,43–45
All analyses were made using SPSS V.15.0.
We used exploratory factor analysis to examine the structure of NWI in the Norwegian dataset, including nurses working in intensive care units, medical and surgical wards (n=5490). We performed reliability tests to assess internal consistency for the NWI and for the subscale from HSOPSC.
The questionnaire was distributed to 6147 nurses in medical and surgical wards, and 3618 responded (mean response rate: 58.9%). Based on recommendations for cut points for response rates we included 31 hospitals with a survey response rate above 40%.46 Nurses from intensive care units were excluded because the number of these units, the size and the type of patients admitted vary between hospitals.
The values of all variables’ were transformed into a 0–100 scale, 0 representing the lowest possible score and 100 the highest possible score. Organisational structure variables were transformed into variables relative to hospital type to control for the assumption of dependency with hospital type (in the following marked with ‘R’ in variable names). The transformation was made by subtracting the mean values of hospital type for each case. The unit of observation was individuals. Descriptive statistics of organisational structure measures were made at hospital-aggregated level.
Initially bivariate regression analysis for each organisational variable and each nurse-reported outcome was performed. In the stepwise multivariate regression that followed, all organisational variables and all potential interactions were included. Main effects and interactions that remained significant on a 0.05 level were included in the final multivariate multilevel regression introducing hospital ward and hospital as levels 2 and 3 variables. Interactions between hospital type and other structural variables were removed in the final model because they were related to features of single hospitals.
The exploratory factor analysis identified six subscales from NWI, and internal consistency (Cronbach's α) ranged from 0.68 to 0.88 in the reliability test (see table 1). A comparison of the subscales we identified and the subscales from PES-NWI36 is presented in figure 2. Internal consistency (Cronbach's α) of the three items from HSOPSC was 0.72.
The structural characteristics of hospitals are described in table 2. Most of the hospitals were categorised as local (23), but three hospitals were local university hospitals and another five were regional university hospitals.
About 90% of Norwegian nurses are members of The Norwegian Nurses Organisation (NNO). Mean age among the members of NNO are 43.0, and 90% are female. The mean age of nurse respondents (N=3618) in this study was 35.6 (median 33.0, range 21–71), and their mean experience as nurses was 8.4 (median 5.0, range 0–45). Most nurses were female (93.8%). All registered nurses in Norway hold a bachelor's degree, and 15.3% of the respondents had further education. The distribution of nurses between hospital types was 13.6% for local university hospital and 29.2% for regional university hospital. The distribution between departments was about even, with 56.4% of nurses working in medical departments.
Organisational process variables are presented in table 3. Nurse participation and staff adequacy had the lowest scores, while nurse–physician relation and ward leadership had high scores.
Bivariate linear regression showed that, with a few exceptions, organisational structure and process measures were associated with nurses’ reports of Quality of Nursing, Patient Safety, Self-Care Ability and Low frequency AE. The final multivariate multilevel model introducing hospital ward and hospital as levels 2 and 3 variables, showed that almost all variance was found on an individual level and demonstrated that correlation among observations within the hospitals was lower than for hospital wards (table 4). The correlation at hospital level accounted for 0.22–0.74% of the total variance, and correlation at hospital ward level accounted for 2.46–8.64% of the total variance (table 4).
Intraclass correlation coefficients and design effects for each outcome are presented in table 4.
The multivariate multilevel model showed that nurses’ reports of work-related outcome measures; Quality of Nursing, and Patient Safety, were associated with four of the organisational process measures; patient safety management, staff adequacy, nurse–physician relation and quality system (table 4). Small but significant coefficients were found for associations between Quality of Nursing and nurse participation (negative) and ward leadership (positive). Working at a regional university hospital rather than at a local hospital was associated with both work-related outcome measures. Nurses affiliated to medical departments gave lower ratings of Patient Safety than nurses working in surgical departments.
The patient-related outcome measures, Self-Care Ability and Low frequency AE, were associated with the organisational process measures patient safety management, staff adequacy and quality system. Self-Care Ability was associated with nurse–physician relation (positively) and low frequency AE was associated with ward leadership (negatively). Nurses working in a medical department reported poorer Self-Care Ability. Nurses working a local university hospital rather than a local hospital reported higher frequency of adverse events (reduced low frequency AE). The interactions included in the final model showed that index for patient mix reduced the negative effect of medical department on Self-Care Ability. High nurse experience per hospital increased the effect of nurse–patient ratio on Self-Care Ability. Except for medical department none of the main effects involved in the interactions were significant.
Organisational process variables, quality system, patient safety management, staff adequacy and nurse–physician relation, were associated with nurse-reported work-related and patient-related outcomes. The organisational structure variables medical department and hospital type were associated with some of the nurse-reported outcomes.
Strengths and limitations
This study is based on data from one of the largest nurse surveys performed in Norway, and includes almost all Norwegian hospitals with more than 85 beds. Norwegian nurses give their workplaces better ratings of work environment and patient safety, and nurse–patient ratios are high compared with other countries.11 The good performance of Norwegian hospitals as assessed by nurses makes it of particular interest to study the organisational design.
Questions related to cross-sectional survey design are often addressed towards the inadequacy to prove causality. However, the intention of our study was not to add evidence of this kind, but to describe associations between nurses’ perceptions of work environment and their assessments of patient safety and quality of nursing. We have not made statistical controls to mitigate the risk of common method bias as the value of this is questioned.47–51 The method for identifying the five-factor structure of NWI has been criticised, but is one of several ways to identify factor structure.52 The six-factor structure identified in the Norwegian data provided a nuanced description of work environment. Internal consistency was better for the six-factor structure, and is probably better adapted to a Norwegian context.36 ,38 The questionnaires were distributed through the nurses’ union representatives, and we have not been able to control whether loyalty to NNO has influenced the results. The age distribution of our sample is corresponding with studies from similar populations in Norway.53 The difference in age from nurses in the NNO member register may be explained by the exclusion of nurses in leader positions and part-time positions. Nurses’ practice environments are complex and cannot be fully covered by a questionnaire, but overall the NWI is characterised as a ‘promising instrument’.52 ,54 However, NWI is developed to evaluate nurse-reported job outcomes, and the applicability of the instrument to patient safety might be uncertain.55 Statistics Norway and The Norwegian Directorate of Health are well-established registers with complete coverage. The high quality of their data collection has minimised the risk of inaccuracy of organisational structure variables and ensured the comparability between hospitals.
Organisational process measures
Educational level has been associated with risk-adjusted patient mortality and failure to rescue within 30 days of admission.56 ,57 Even though all Norwegian nurses hold a bachelor degree, we expected that education and career were associated with some of the outcome measures, but this was not the case. However, the association between quality system, involving issues as training for newly hired and continuity of nursing, and work-related and patient-related outcomes indicate that integrated training programmes may be more important for patient safety and quality of nursing.57 The subscale quality system also represents continuous processes such as the presence of quality control programmes, systems for documentation and nursing versus medical orientation. These findings are supported in studies showing that quality programmes influence healthcare workers attitudes and increase improvement events.58–61 The existence of standards, infrastructure and quality systems contribute to expectations and predictability for the health professionals and maximise their efforts to avoid patient harm.1 ,9 ,62
In our study Ward leadership was inconsistently associated with the outcomes. However, a positive association with patient safety management supports findings from studies that emphasise nurse leadership and a management that prioritises patient safety.10 ,40 ,63 ,64 In a recent study the authors found that engaged leadership strengthened both communication and teamwork and that these qualities of the organisation enhanced patient safety.65 Communication and collegial discussions are important aspects to streamline workflow and procedures to ensure patient safety, and serve as sources for professional development.66 ,67 The association between good nurse–physician relation and high quality of care from other studies was supported in our findings.68–71 The channels for communicating results from performance measurements and other patient safety messages require engagement from leaders on all levels, and should probably be customised to the targeted healthcare profession.
Staff adequacy represents nurses’ assessments of the possibility to get the work done, provide quality of care, and discuss problems related to care with colleagues. Processes that ensure adequate and targeted resource allocation may contribute to reduced length of stay, increase in ambulatory activity, as well as ensuring right competence at the right place and time.72 ,73 Associations between staff ratios and patient outcomes such as failure to rescue, unplanned extubation, cardiac arrest, nosocomial infections and risk-adjusted mortality have been found in several studies, indicating that staffing levels are related to quality and patient safety.15 ,19 ,21 ,74–77 Corresponding results have been shown in studies with nurse-reported outcome measures, but was not confirmed by our study.75–77 A possible reason for this is that nurse–patient ratios are high in Norway and that Norwegian nurses perceive work environment as better than nurses in other countries.11 This may indicate that passing a threshold for staff levels, challenges related to quality and patient safety could be met on an organisational level.11 ,23 ,78
Organisational structure measures
Few organisational structure measures were significantly associated with outcome variables when hospital and hospital ward was introduced as levels in the analysis. Hence, when affiliation to regional university hospitals remained significant, it may as well be explained by a strong common perception of the hospital performance as of hospital type. Regional university hospital was not associated with nurse-reported patient-related outcomes implying that nurses’ perception of quality and safety may be good despite the risk for complications among patients in these hospitals. Associations between hospital type and patient safety indicators are inconsistently reported by other authors that suggest that features other than hospital type are more important for patient outcomes.6 ,79 ,80
The negative association between low frequency AE and local university hospital might confirm the assumption that common perception is a more decisive factor than hospital type. However, because of the small number of hospitals in this group, conditions in a single hospital might have influenced the results. Correlation on hospital and hospital ward levels were highest for low frequency AE, indicating a stronger correlation for this outcome on these levels, and we cannot rule out that our findings are related to resources, patients’ severity and nurses’ perceptions of risk of complications.6 We found that nurses working in medical departments gave poorer ratings of patients’ self-care ability and that medical department interacted with index for patient mix. We lack information about patients’ severity and DRG-weights on departmental level, but the complexity in diseases and comorbidity among elderly patients may explain this result if the majority of them are admitted to medical departments. These considerations do not explain why being affiliated to a medical department was associated with nurse-reported patient safety, but may indicate that patient safety interventions are easier to apply and make visible in surgical departments as the procedures are more standardised.81
The agreement of respondents within organisational levels (ICCs) was in accordance with similar studies reviewed by Park and Lake.82 The culture of a group is formed by shared perceptions, thoughts and emotions, and the dependency of the observations at ward level may be explained by such phenomena.39
Organisational structure variables included in our study have minor impact on how nurses perceive work-related and patient-related outcomes. However, the organisational process variables consistently related to all outcomes measures indicated that there is a considerable potential in addressing organisational design in improvement of patient safety and quality of care. This study makes a contribution to knowledge about how interventions should be targeted towards organisational processes in patient safety work. Further research should also address organisational processes relevant for other professions.
The authors would like to thank all Norwegian nurses who responded on the nurse survey.
Contributors CT has been responsible for conception, design, analysis and interpretation of data, and has worked out the drafts and completion of the submitted version of the manuscript. All coauthors have revised the manuscript and substantially contributed with comments and ideas during the process, and given their final approval of the version submitted. ISS has contributed in data collection, development of conception and design of the study and interpretation of data. JH has contributed in development of design, analysis and interpretation of data. GB has contributed in development of conception and design of the study, and interpretation of data.
Funding Data were collected by Norwegian Nurses’ Organisation and Norwegian Knowledge Centre for the Health Services in collaboration. CT was supported by a grant from Norwegian Nurses’ Organisation.
Competing interests None.
Ethics approval The method of data collection and handling was approved by the Data Protection Official for Research.
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement The data set is available at The Norwegian Knowledge Centre for the Health Services, and requests should be addressed by emailing firstname.lastname@example.org.
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