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      General practitioners’ evaluations of optimal timing to initiate advance care planning for patients with cancer, organ failure, or multimorbidity: A health records survey study

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          Abstract

          Background:

          Appropriate timing to initiate advance care planning is difficult, especially for individuals with non-malignant disease in community settings.

          Aim:

          To identify the optimal moment for, and reasons to initiate advance care planning in different illness trajectories.

          Design and methods:

          A health records survey study; health records were presented to 83 GPs with request to indicate and substantiate what they considered optimal advance care planning timing within the 2 years before death. We used quantitative and qualitative analyses.

          Setting and patients:

          We selected and anonymized 90 health records of patients who died with cancer, organ failure or multimorbidity, from a regional primary care registration database in the Netherlands.

          Results:

          The median optimal advance care planning timing according to the GPs was 228 days before death (interquartile range 392). This moment was closer to death for cancer (87.5 days before death, IQR 302) than for organ failure (266 days before death, IQR 401) and multimorbidity (290 days before death, IQR 389) ( p < 0.001). The most frequently mentioned reason for cancer was “receiving a diagnosis” (21.5%), for organ failure it was “after a period of illness” (14.7%), and for multimorbidity it was “age” and “patients” expressed wishes or reflections’ (both 12.0%).

          Conclusion:

          The optimal advance care planning timing and reasons to initiate advance care planning indicated by GPs differ between patients with cancer and other illnesses, and they also differ between GPs. This suggests that “the” optimal timing for ACP should be seen as a “window of opportunity” for the different disease trajectories.

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          Most cited references33

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          Three approaches to qualitative content analysis.

          Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.
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            The qualitative content analysis process.

            This paper is a description of inductive and deductive content analysis. Content analysis is a method that may be used with either qualitative or quantitative data and in an inductive or deductive way. Qualitative content analysis is commonly used in nursing studies but little has been published on the analysis process and many research books generally only provide a short description of this method. When using content analysis, the aim was to build a model to describe the phenomenon in a conceptual form. Both inductive and deductive analysis processes are represented as three main phases: preparation, organizing and reporting. The preparation phase is similar in both approaches. The concepts are derived from the data in inductive content analysis. Deductive content analysis is used when the structure of analysis is operationalized on the basis of previous knowledge. Inductive content analysis is used in cases where there are no previous studies dealing with the phenomenon or when it is fragmented. A deductive approach is useful if the general aim was to test a previous theory in a different situation or to compare categories at different time periods.
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              Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study.

              Qualitative content analysis and thematic analysis are two commonly used approaches in data analysis of nursing research, but boundaries between the two have not been clearly specified. In other words, they are being used interchangeably and it seems difficult for the researcher to choose between them. In this respect, this paper describes and discusses the boundaries between qualitative content analysis and thematic analysis and presents implications to improve the consistency between the purpose of related studies and the method of data analyses. This is a discussion paper, comprising an analytical overview and discussion of the definitions, aims, philosophical background, data gathering, and analysis of content analysis and thematic analysis, and addressing their methodological subtleties. It is concluded that in spite of many similarities between the approaches, including cutting across data and searching for patterns and themes, their main difference lies in the opportunity for quantification of data. It means that measuring the frequency of different categories and themes is possible in content analysis with caution as a proxy for significance. © 2013 Wiley Publishing Asia Pty Ltd.
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                Author and article information

                Journal
                Palliat Med
                Palliat Med
                PMJ
                sppmj
                Palliative Medicine
                SAGE Publications (Sage UK: London, England )
                0269-2163
                1477-030X
                30 December 2021
                March 2022
                : 36
                : 3
                : 510-518
                Affiliations
                [1 ]Department of Public Health and Primary Care, Leiden University Medical Center (LUMC), Leiden, The Netherlands
                [2 ]Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, The Netherlands
                [3 ]Radboud Institute for Health Sciences, Scientific Center for Quality of Healthcare, Radboud University Medical Center, Nijmegen, The Netherlands
                Author notes
                [*]A. Stef Groenewoud, Radboud Institute for Health Sciences, Scientific Center for Quality of Healthcare, Radboud University Medical Center, PO Box 9101, Nijmegen6500 HB, The Netherlands. Email: stef.groenewoud@ 123456radboudumc.nl
                Author information
                https://orcid.org/0000-0001-7231-316X
                https://orcid.org/0000-0002-9063-7501
                https://orcid.org/0000-0001-5919-4856
                Article
                10.1177_02692163211068692
                10.1177/02692163211068692
                8972953
                34965754
                85145c2a-56b5-4b51-a4cd-375108da77b2
                © The Author(s) 2021

                This article is distributed under the terms of the Creative Commons Attribution 4.0 License ( https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                Funding
                Funded by: zonmw, FundRef https://doi.org/10.13039/501100001826;
                Award ID: 844001510
                Categories
                Original Articles
                Custom metadata
                ts1

                Anesthesiology & Pain management
                advance care planning,cancer,organ failure,multimorbidity,general practice,electronic health record,surveys and questionnaire

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