Sukhvir Kaur, Sophie Meesters, Aneta Schieferdecker, Annika Dangendorf, Barbara Strohbücker, Nikolas Oubaid, Anneke Ullrich, Viola Milke, Karin Oechsle, Holger Schulz, Raymond Voltz, Kerstin Kremeike
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The provision of such a tool can help to identify needs for improvement of care.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We developed a data extraction tool by operationalizing recommendations for the dying phase of the evidenced-<i>based German National Palliative Care Guideline</i>. The tool was used to extract notes from MRs of <i>n</i> = 400 deceased patients of 10 general wards and intensive care units at two University Medical Centres. We analysed the tool's information density and content validity. Descriptive statistics were calculated as frequencies and percentages.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The final tool consists of 39 variables in six domains. Initially, 55 variables were derived from guideline recommendations. With regard to content validity, notes for 37 (67%) variables could be extracted from the MRs, while 16 variables were removed due to poor or unclear documentation. Two additional variables were identified inductively and included in the final tool. Notes could be extracted for all domains, while information density (% of MR with notes) varied: (1) Dying process and death (<i>n</i> = 380, 95.0%), (2) Medication and interventions (<i>N</i> = 323, 80.7%), (3) Information and involvement of patients and informal caregivers (<i>n</i> = 155, 38.8%), (4) Symptom assessment (<i>n</i> = 105, 26.3%), (5) Involvement of specialised palliative care (<i>n</i> = 78, 19.5%), (6) Goals-of-care (<i>n</i> = 76, 19.0%). Variation in documentation can reflect differences in care provision or recording practices, suggesting a need for documentation standards.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The tool enables a structured retrospective analysis of guideline-recommended aspects of care in the dying phase in MRs, applicable to both general wards and intensive care units. It can support quality improvement by identifying documentation gaps and areas of care improvement, and can contribute to target interventions in different hospital settings. To obtain a comprehensive understanding of the care provided, MR analysis should be combined with other methods and perspectives and tested in other settings.</p>\n </section>\n \n <section>\n \n <h3> Trial Registration</h3>\n \n <p>The study is registered in the German Clinical Trials Register (DRKS00025405).</p>\n </section>\n </div>","PeriodicalId":15997,"journal":{"name":"Journal of evaluation in clinical practice","volume":"31 5","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jep.70174","citationCount":"0","resultStr":"{\"title\":\"How to Evaluate Hospital Care in the Dying Phase—Development of a Data Extraction Tool for Retrospective Medical Record Analysis\",\"authors\":\"Sukhvir Kaur, Sophie Meesters, Aneta Schieferdecker, Annika Dangendorf, Barbara Strohbücker, Nikolas Oubaid, Anneke Ullrich, Viola Milke, Karin Oechsle, Holger Schulz, Raymond Voltz, Kerstin Kremeike\",\"doi\":\"10.1111/jep.70174\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Hospitals are the most common place of death in European countries, including Germany, where nearly half of the population dies in hospitals, mostly outside specialised palliative care wards. 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Descriptive statistics were calculated as frequencies and percentages.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The final tool consists of 39 variables in six domains. Initially, 55 variables were derived from guideline recommendations. With regard to content validity, notes for 37 (67%) variables could be extracted from the MRs, while 16 variables were removed due to poor or unclear documentation. Two additional variables were identified inductively and included in the final tool. Notes could be extracted for all domains, while information density (% of MR with notes) varied: (1) Dying process and death (<i>n</i> = 380, 95.0%), (2) Medication and interventions (<i>N</i> = 323, 80.7%), (3) Information and involvement of patients and informal caregivers (<i>n</i> = 155, 38.8%), (4) Symptom assessment (<i>n</i> = 105, 26.3%), (5) Involvement of specialised palliative care (<i>n</i> = 78, 19.5%), (6) Goals-of-care (<i>n</i> = 76, 19.0%). 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How to Evaluate Hospital Care in the Dying Phase—Development of a Data Extraction Tool for Retrospective Medical Record Analysis
Background
Hospitals are the most common place of death in European countries, including Germany, where nearly half of the population dies in hospitals, mostly outside specialised palliative care wards. At the same time, quality of hospital care in the dying phase is reported as poor. Although existing (inter-)national guidelines provide outcome variables, their evaluation of implementation is lacking. This study aims to develop and test a structured tool for data extraction from medical records (MRs) to evaluate hospital care in the dying phase. The provision of such a tool can help to identify needs for improvement of care.
Methods
We developed a data extraction tool by operationalizing recommendations for the dying phase of the evidenced-based German National Palliative Care Guideline. The tool was used to extract notes from MRs of n = 400 deceased patients of 10 general wards and intensive care units at two University Medical Centres. We analysed the tool's information density and content validity. Descriptive statistics were calculated as frequencies and percentages.
Results
The final tool consists of 39 variables in six domains. Initially, 55 variables were derived from guideline recommendations. With regard to content validity, notes for 37 (67%) variables could be extracted from the MRs, while 16 variables were removed due to poor or unclear documentation. Two additional variables were identified inductively and included in the final tool. Notes could be extracted for all domains, while information density (% of MR with notes) varied: (1) Dying process and death (n = 380, 95.0%), (2) Medication and interventions (N = 323, 80.7%), (3) Information and involvement of patients and informal caregivers (n = 155, 38.8%), (4) Symptom assessment (n = 105, 26.3%), (5) Involvement of specialised palliative care (n = 78, 19.5%), (6) Goals-of-care (n = 76, 19.0%). Variation in documentation can reflect differences in care provision or recording practices, suggesting a need for documentation standards.
Conclusion
The tool enables a structured retrospective analysis of guideline-recommended aspects of care in the dying phase in MRs, applicable to both general wards and intensive care units. It can support quality improvement by identifying documentation gaps and areas of care improvement, and can contribute to target interventions in different hospital settings. To obtain a comprehensive understanding of the care provided, MR analysis should be combined with other methods and perspectives and tested in other settings.
Trial Registration
The study is registered in the German Clinical Trials Register (DRKS00025405).
期刊介绍:
The Journal of Evaluation in Clinical Practice aims to promote the evaluation and development of clinical practice across medicine, nursing and the allied health professions. All aspects of health services research and public health policy analysis and debate are of interest to the Journal whether studied from a population-based or individual patient-centred perspective. Of particular interest to the Journal are submissions on all aspects of clinical effectiveness and efficiency including evidence-based medicine, clinical practice guidelines, clinical decision making, clinical services organisation, implementation and delivery, health economic evaluation, health process and outcome measurement and new or improved methods (conceptual and statistical) for systematic inquiry into clinical practice. Papers may take a classical quantitative or qualitative approach to investigation (or may utilise both techniques) or may take the form of learned essays, structured/systematic reviews and critiques.