Literature DB >> 22966109

The changing face of chronic illness management in primary care: a qualitative study of underlying influences and unintended outcomes.

Linda M Hunt1, Meta Kreiner, Howard Brody.   

Abstract

PURPOSE: Recently, there has been dramatic increase in the diagnosis and pharmaceutical management of common chronic illnesses. Using qualitative data collected in primary care clinics, we assessed how these trends play out in clinical care.
METHODS: This qualitative study focused on management of type 2 diabetes and hypertension in 44 primary care clinics in Michigan and was based on interviews with 58 clinicians and 70 of their patients, and observations of 107 clinical consultations. We assessed clinicians' treatment strategies and discussions of factors influencing treatment decisions, and patients' understandings and experiences in managing these illnesses.
RESULTS: Clinicians focused on helping patients achieve test results recommended by national guidelines, and most reported combining 2 or more medications per condition to reach targets. Medication selection and management was the central focus of the consultations we observed. Polypharmacy was common among patients, with more than one-half taking 5 or more medications. Patient interviews indicated that heavy reliance on pharmaceuticals presents challenges to patient well-being, including financial costs and experiences of adverse health effects.
CONCLUSIONS: Factors promoting heavy use of pharmaceuticals include lower diagnostic and treatment thresholds, clinician-auditing and reward systems, and the prescribing cascade, whereby more medications are prescribed to control the effects of already-prescribed medications. We present a conceptual model, the inverse benefit law, to provide insight into the impact of pharmaceutical marketing efforts on the observed trends. We make recommendations about limiting the influence of the pharmaceutical industry on clinical practice, toward improving the well-being of patients with chronic illness.

Entities:  

Mesh:

Year:  2012        PMID: 22966109      PMCID: PMC3438213          DOI: 10.1370/afm.1380

Source DB:  PubMed          Journal:  Ann Fam Med        ISSN: 1544-1709            Impact factor:   5.166


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