12
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Development of a research tool to document self-reported chronic conditions in primary care

      editorial

      Read this article at

          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Researchers interested in multimorbidity often find themselves in the dilemma of identifying or creating an operational definition in order to generate data. Our team was invited to propose a tool for documenting the presence of chronic conditions in participants recruited for different research studies.

          Objective

          To describe the development of such a tool.

          Design

          A scoping review in which we identified relevant studies, selected studies, charted the data, and collated and summarized the results. The criteria considered for selecting chronic conditions were: (1) their relevance to primary care services; (2) the impact on affected patients; (3) their prevalence among the primary care users; and (4) how often the conditions were present among the lists retrieved from the scoping review.

          Results

          Taking into account the predefined criteria, we developed a list of 20 chronic conditions/categories of conditions that could be self-reported. A questionnaire was built using simple instructions and a table including the list of chronic conditions/categories of conditions.

          Conclusions

          We developed a questionnaire to document 20 self-reported chronic conditions/categories of conditions intended to be used for research purposes in primary care. Guided by previous literature, the purpose of this questionnaire is to evaluate the self-reported burden of multimorbidity by participants and to encourage comparability among research studies using the same measurement.

          Related collections

          Most cited references53

          • Record: found
          • Abstract: found
          • Article: not found

          The Self-Administered Comorbidity Questionnaire: a new method to assess comorbidity for clinical and health services research.

          To develop the Self-Administered Comorbidity Questionnaire (SCQ) and assess its psychometric properties, including the predictive validity of the instrument, as reflected by its association with health status and health care utilization after 1 year. A cross-sectional comparison of the SCQ with a standard, chart abstraction-based measure (Charlson Index) was conducted on 170 inpatients from medical and surgical care units. The association of the SCQ with the chart-based comorbidity instrument and health status (short form 36) was evaluated cross sectionally. The association between these measures and health status and resource utilization was assessed after 1 year. The Spearman correlation coefficient for the association between the SCQ and the Charlson Index was 0.32. After restricting each measure to include only comparable items, the correlation between measures was stronger (Spearman r = 0.55). The SCQ had modest associations with measures of resource utilization during the index admission, and with health status and resource utilization after 1 year. The SCQ has modest correlations with a widely used medical record-based comorbidity instrument, and with subsequent health status and utilization. This new measure represents an efficient method to assess comorbid conditions in clinical and health services research. It will be particularly useful in settings where medical records are unavailable.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Cumulative illness rating scale.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The development of a comorbidity index with physical function as the outcome.

              Physical function is an important measure of success of many medical and surgical interventions. Ability to adjust for comorbid disease is essential in health services research and epidemiologic studies. Current indices have primarily been developed with mortality as the outcome, and are not sensitive enough when the outcome is physical function. The objective of this study was to develop a self-administered Functional Comorbidity Index with physical function as the outcome. The index was developed using two databases: a cross-sectional, simple random sample of 9,423 Canadian adults and a sample of 28,349 US adults seeking treatment for spine ailments. The primary outcome measure was the SF-36 physical function (PF) subscale. The Functional Comorbidity Index, an 18-item list of diagnoses, showed stronger association with physical function (model R(2) = 0.29) compared with the Charlson (model R(2) = 0.18), and Kaplan-Feinstein (model R(2) = 0.07) indices. The Functional Comorbidity Index correctly classified patients into high and low function, in 77% of cases. This new index contains diagnoses such as arthritis not found on indices used to predict mortality, and the FCI explained more variance in PF scores compared to indices designed to predict mortality.
                Bookmark

                Author and article information

                Journal
                J Comorb
                J Comorb
                joc
                Journal of Comorbidity
                Swiss Medical Press GmbH (Hochwald, Switzerland )
                2235-042X
                9 November 2017
                2017
                : 7
                : 1
                : 117-123
                Affiliations
                [1] 1Department of Family Medicine and Emergency Medicine, Université de Sherbrooke, and Centre intégré universitaire de santé et de services sociaux du Saguenay-Lac-St-Jean, Quebec, Canada
                [2] 2Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Centre for Studies in Family Medicine, Western University, Ontario, Canada
                Author notes
                Correspondence: Martin Fortin, MD, MSc, CFPC, Centre intégré universitaire de santé et de services sociaux du Saguenay-Lac-St-Jean, 305 St-Vallier, Chicoutimi, Québec G7H 5H6, Canada. Tel.: +1 418 541 1234, ext. 2818; Fax: +1 418 541 7091; E-mail: Martin.Fortin@ 123456USherbrooke.ca
                Article
                joc.2017.7.122
                10.15256/joc.2017.7.122
                5772378
                24648e6c-041a-4b73-ab2f-573afe233380
                Copyright: © 2017 The Authors

                This is an open-access article distributed under the Creative Commons Attribution-NonCommercial License, which permits all noncommercial use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 19 September 2017
                : 31 October 2017
                Categories
                Original Article

                self-report,chronic conditions,primary care,multimorbidity

                Comments

                Comment on this article