Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 323

The DOI matches its Crossref record.

Adherence in Chronic Disease

DUNEAR-JACOB, JACQUELINE, ERLEN, JUDITH A., SCHLENK, ELIZABETH A., RYAN, CHRISTOPHER M., SEREIKA, SUSAN M., DOSWELL, WILLA M.·2000·Annual Review of Nursing Research

Abstract

Nonadherence to treatmeot regimen is a prevalent problem of patients with chronic disorders. Approximately half of the patients with a chronic disease have problems following their prescribed regimen to the extent that they are unable to obtain optimum clinical benefit. This chapter reviews the state of knowledge regarding adherence to chronic disease regimens across the life span and demonstrates that the extent and nature of the adherence problems are similar across diseases, across regimens, and across age groups. Adherence to the commonly prescribed regimens is addressed, including pharmacological therapies, therapeutic diets, and therapeutic exercise. Randomized, controlled studies focusing on various educational, behavioral, cognitive, and affective interventions to improve adherence are included. Based on this review, further work is needed to better understand and improve adherence. New strategies for analysis and measurement will support these needed advances in the field of adherence.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1891/0739-6686.18.1.48

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 323

Metadata

Authors
DUNEAR-JACOB, J., ERLEN, J. A., SCHLENK, E. A., RYAN, C. M., SEREIKA, S. M., & DOSWELL, W. M.
Venue
Annual Review of Nursing Research
Published
2000-01
Volume
18
Issue
1
Pages
48-90
ISSN
  • 0739-6686 (ISSN-L)
  • 1944-4028
OpenAlex
W2192288560
Cited by
323
References
0
FWCI
9.91
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Adherence in Chronic Disease. https://app.cochat.ai/papers/10.1891/0739-6686.18.1.48
The paper
DUNEAR-JACOB, J., ERLEN, J. A., SCHLENK, E. A., RYAN, C. M., SEREIKA, S. M., & DOSWELL, W. M. (2000). Adherence in Chronic Disease. Annual Review of Nursing Research. https://doi.org/10.1891/0739-6686.18.1.48

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.