A scholarly discipline comes of age

Stevens, David P.

doi:10.1136/qshc.2010.040352

Cited by 10 publications

(6 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Subsequent series of CFA revealed satisfactory fit of the models from England (UK) 9 (RMSEA=0.05; SRMR=0.05; GFI=0.92; CFI=0.93; TLI/NNFT=0.91) and Palestine 16 (RMSEA=0.05; SRMR=0.05; GFI=0.90; CFI=0.91; TLI/NNFT=0.90) to our data. The original 12-factor model resulted in marginally satisfactory model fit (RMSEA=0.05; SRMR=0.05; GFI=0.88; CFI=0.90; TLI/NNFT=0.88).…”

Section: Resultssupporting

confidence: 50%

“…From these articles, we extracted 10 factor models that differed from the original North-American version. These factor models were from the following countries: England (UK), 9 Scotland (UK), 5 France, 15 Switzerland (French 14 and German 7 ), the Netherlands, 10 Sweden, 11 Slovenia, 6 Turkey 12 and Palestine. 16 The 11 factor model considered in the analysis was the original 12-factor model.…”

Section: Resultsmentioning

confidence: 99%

“… 5–7 9 11 The items from the dimension ‘Organisational learning – continuous improvement’ were shown to be highly inconsistent across various models. In five models, the items from this dimension were either removed from the model 9 or merged with other dimensions 7 10 11 15 (eg, with ‘Feedback and communication about error’).…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of psychometric properties of the German Hospital Survey on Patient Safety Culture and its potential for cross-cultural comparisons: a cross-sectional study

et al. 2017

View full text Add to dashboard Cite

ObjectiveTo study the psychometric characteristics of German version of the Hospital Survey on Patient Safety Culture and to compare its dimensionality to other language versions in order to understand the instrument’s potential for cross-national studies.DesignCross-sectional multicentre study to establish psychometric properties of German version of the survey instrument.Setting73 units from 37 departments of two German university hospitals.ParticipantsClinical personnel (n=995 responses, response rate 39.6%).Primary and secondary outcome measuresPsychometric properties (eg, model fit, internal consistency, construct validity) of the instrument and comparison of dimensionality across different language translations.ResultsThe instrument demonstrated acceptable to good internal consistency (Cronbach’s alpha 0.64–0.88). Confirmatory factor analysis of the original 12-factor model resulted in marginally satisfactory model fit (root mean square error of approximation (RMSEA)=0.05; standardised root mean residual (SRMR)=0.05; comparative fit index (CFI)=0.90; goodness of fit index (GFI)=0.88; Tucker-Lewis Index (TLI)=0.88). Exploratory factor analysis resulted in an alternative eight-factor model with good model fit (RMSEA=0.05; SRMR=0.05; CFI=0.95; GFI=0.91; TLI=0.94) and good internal consistency (Cronbach’s alpha 0.73–0.87) and construct validity. Analysis of the dimensionality compared with models from 10 other language versions revealed eight dimensions with relatively stable composition and appearance across different versions and four dimensions requiring further improvement.ConclusionsThe German version of Hospital Survey on Patient Safety Culture demonstrated satisfactory psychometric properties for use in German hospitals. However, our comparison of instrument dimensionality across different language versions indicates limitations concerning cross-national studies. Results of this study can be considered in interpreting findings across national contexts, in further refinement of the instrument for cross-national studies and in better understanding the various facets and dimensions of patient safety culture.

show abstract

Section: Resultssupporting

confidence: 50%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of psychometric properties of the German Hospital Survey on Patient Safety Culture and its potential for cross-cultural comparisons: a cross-sectional study

et al. 2017

View full text Add to dashboard Cite

show abstract

“…The first survey was developed to be used in US hospitals, 3 which was later validated or modified for use in other countries' health systems or languages. [4][5][6][7][8][9][10][11][12][13][14] Following this, the AHRQ also released the Medical Office 15 and the Nursing Home 16 versions of its patient safety culture survey.…”

Section: Introductionmentioning

confidence: 99%

Psychometric properties of the AHRQ Community Pharmacy Survey on Patient Safety Culture: a factor analysis

et al. 2015

View full text Add to dashboard Cite

Background The U.S. Agency for Healthcare Research and Quality (AHRQ) developed a hospital patient safety culture survey in 2004, and has adapted this survey to other healthcare settings, such as nursing homes and medical offices, and most recently community pharmacies. However, it is unknown if safety culture dimensions developed in hospital settings can be transferred to community pharmacies. The aim of this study was to assess the psychometric properties of the Community Pharmacy Survey on Patient Safety Culture. Method The survey was administered to 543 community pharmacists in [state], United States. Confirmatory factor analysis was used to assess the fit of our data with the proposed AHRQ model. Exploratory factor analysis was used to determine the underlying factor structure. Internal consistency reliabilities were calculated. Results A total of 433 usable surveys were returned (response rate of 80%). Results from the confirmatory factor analysis showed inadequate model fit for the original 36 item, 11-factor structure. Exploratory factor analysis showed that a modified 27 item, 4-factor structure better reflected the underlying safety culture dimensions in community pharmacies. The communication openness factor, with 3 items, dropped in its entirety while 6 items dropped from multiple factors. The remaining 27 items redistributed to form the 4-factor structure: safety related communication, staff training and work environment, organizational response to safety events, and staffing, work pressure and pace. Cronbach's α of 0.95 suggested good internal consistency. Conclusion Dimensions related to safety culture in a community pharmacy environment may differ from those in other healthcare settings such as in hospitals. Our findings suggest that validation studies need to be conducted before applying safety dimensions from other healthcare settings into community pharmacies.

show abstract

“…A nondirected (holistic or implicit) review process will give broader information but lower inter-rater reliability. A criterion-based (or explicit) review process will be less sensitive, but has better reproducibility [40]. Reviewers can be external or internal, involved or not involved in patient care, doctors, nurses or others.…”

Section: Lessons From Experiences Outside the Icumentioning

confidence: 99%

Preventable mortality evaluation in the ICU

et al. 2012

View full text Add to dashboard Cite

Mortality is the most widely measured outcome parameter. Improvement of this outcome parameter in critical care is nowadays expected not to come from new technologies or treatment, but from delivering the right care at the right moment in a safe way. The measurement of mortality as an outcome parameter confronts us with a problem in providing follow-up to the results. Especially when proven structure and process interventions are applied already, the cause of a suboptimal performance cannot be deduced easily. One possibility is to evaluate the causes of death and to judge preventability. In this article we explore the opportunities and difficulties of a tool to evaluate preventable mortality in the ICU.

show abstract

A scholarly discipline comes of age

Cited by 10 publications

References 13 publications

Evaluation of psychometric properties of the German Hospital Survey on Patient Safety Culture and its potential for cross-cultural comparisons: a cross-sectional study

Evaluation of psychometric properties of the German Hospital Survey on Patient Safety Culture and its potential for cross-cultural comparisons: a cross-sectional study

Psychometric properties of the AHRQ Community Pharmacy Survey on Patient Safety Culture: a factor analysis

Preventable mortality evaluation in the ICU

Contact Info

Product

Resources

About