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Cited by 276

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Patient Decision Making: The Missing Ingredient in Compliance Research

Donovan, Jenny L.·1995·International Journal of Technology Assessment in Health Care

Abstract

Medical noncompliance has been identified as a major public health problem that imposes a considerable financial burden upon modern health care systems. There is a large research record focusing on the understanding, measurement, and resolution of noncompliance, but it is consistently found that between one third and one half of patients fail to comply with medical advice and prescriptions. Critically absent from this research record has been the patient's role in medical decision making. For patients, particularly those with chronic illnesses, compliance is not an issue: they make their own reasoned decisions about treatments based on their own beliefs, personal circumstances, and the information available to them. The traditional concept of compliance is thus outmoded in modern health care systems, where chronic illness and questioning patients predominate.

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Metadata

Authors
Donovan, J. L.
Venue
International Journal of Technology Assessment in Health Care
Published
1995
Volume
11
Issue
3
Pages
443-455
ISSN
  • 0266-4623 (ISSN-L)
  • 1471-6348
OpenAlex
W2142792787
Cited by
276
References
1
FWCI
5.28
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Patient Decision Making: The Missing Ingredient in Compliance Research. https://app.cochat.ai/papers/10.1017/s0266462300008667
The paper
Donovan, J. L. (1995). Patient Decision Making: The Missing Ingredient in Compliance Research. International Journal of Technology Assessment in Health Care. https://doi.org/10.1017/s0266462300008667

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.