ArticleBMC primary care2022
Identifying complex patients in family medicine for potential benefit from a case manager: a short questionnaire derived from the INTERMED Self-Assessment (IMSA) questionnaire.
Article in BMC primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Clinical Variables Associated with Physician-Driven Inclusion in a Special Management Program for Complex Patients.Journal of clinical medicine · 2025Article
- Healthy Lives 5 Axis Scale for individuals with complex health and social needs: assessment of validity and reliability.BMC health services research · 2025Article
- Content validity testing of the INTERMED Self-Assessment in a sample of adults with rheumatoid arthritis and rheumatology healthcare providers.Health expectations : an international journal of public participation in health care and health policy · 2024Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo investigate how useful the Intermed-Self Assessment (IMSA) questionnaire and its components were for identifying which patient candidates would benefit most from case management (CM) in general practice.
methodsThe study was carried out in a group family medicine practice in Lausanne comprising seven GPs and four medical assistants, from February to April 2019. All the patients attending the practice between February and April 2019 were invited to complete the IMSA questionnaire. Additionally, their GPs were asked for their opinions on the potential benefits of each patient being assigned a case manager. Each IMSA item's value has been assessed as a predictor of GPs' opinions by using multivariate logistic models. A score including items retained as predictor was built.
resultsThree hundred and thirty one patients participated in the study (participation rate: 62%). Three items from the 20 item IMSA were sufficient to predict GPs' opinions about whether their patients could be expected to benefit if assigned a case manager. Those items addressed the patient's existing chronic diseases (item1), quality of life in relation to existing diseases (item 3), and their social situation (item 9). Using these three items as a score, a cut-off at 4 gave a sensitivity of 70% (ability to correctly identify patients who could benefit from a CM) and specificity of 73% (ability to correctly identify patients who should not benefit from a CM) and concerned about one patient in two.
conclusionIdentifying complex patients suitable for case management remains a challenge for primary care professionals. This paper describes a novel approach using a structured process of combining the results of standardized tools such as the one defined in this study, and the experience of the primary care team.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.