SynthesisThe Cochrane database of systematic reviews2018
Providing physicians with feedback on medication adherence for people with chronic diseases taking long-term medication.
Synthesis in The Cochrane database of systematic reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 6 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
39 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Enhancing Medication Adherence in Older Adults: A Systematic Review of Evidence-Based Strategies.Journal of the American Geriatrics Society · 2026Pooled it
- A review of functionality assessment scales in schizophrenia.Frontiers in psychiatry · 2025Pooled it
- Nudge strategies to improve healthcare providers' implementation of evidence-based guidelines, policies and practices: a systematic review of trials included within Cochrane systematic reviews.Implementation science : IS · 2020Pooled it
- Medication adherence interventions and outcomes: an overview of systematic reviews.European journal of hospital pharmacy : science and practice · 2019Pooled it
- Radiographic changes and clinical outcomes after open and closed wedge high tibial osteotomy: a systematic review and meta-analysis.Journal of orthopaedic surgery and research · 2019Pooled it
- Providing physicians with feedback on medication adherence for people with chronic diseases taking long-term medication.The Cochrane database of systematic reviews · 2018Pooled it
- Multilevel determinants of medication adherence among Chinese patients with chronic diseases: an ecological analysis based on the health ecology model.International journal of clinical pharmacy · 2026Article
- Examining usability of RxFill: integrating health IT to support medication adherence.BMC medical informatics and decision making · 2026Article
- Medication Discrepancy in the Hospital-to-Home Transition Period of Elderly Chinese Patients with Coronary Heart Disease: A Qualitative Study.Patient preference and adherence · 2026Article
- Acceptance, Drivers, and Barriers to Use of mHealth Apps to Improve Quality of Life in Female Patients Affected by Hypothyroidism: Cross-Sectional Study.JMIR formative research · 2025Article
- Liposome-Enabled Nanomaterials for Muscle Regeneration.Small methods · 2025Review
- Adherence to delayed-release cysteamine in nephropathic cystinosis over time: data from the prospective CrYSTobs cohort study.Pediatric nephrology (Berlin, Germany) · 2025Article
- Exploring the general practitioners' perception of the inter-professional care of rheumatoid arthritis patients (GEPRA-II): a qualitative interview study.BMC primary care · 2025Article
- Healthcare provider interventions to support medication adherence: state-of-the-science overview.Frontiers in pharmacology · 2025Review
- Innovative Approaches to Enhance and Measure Medication Adherence in Chronic Disease Management: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2024Review
- Improving medication adherence in cardiovascular disease.Nature reviews. Cardiology · 2024Review
- Impact of early preeclampsia prediction on medication adherence and behavior change: a survey of pregnant and recently-delivered individuals.BMC pregnancy and childbirth · 2024Article
- Psychometric Properties of a Machine Learning-Based Patient-Reported Outcome Measure on Medication Adherence: Single-Center, Cross-Sectional, Observational Study.Journal of medical Internet research · 2023Observational
- Factors predicting medication adherence among coronary artery disease patients in Saudi Arabia: A descriptive study.Saudi medical journal · 2023Article
- Factors predicting medication adherence among Omani patients with chronic diseases through a multicenter cross-sectional study.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPoor medication adherence decreases treatment efficacy and worsens clinical outcomes, but average rates of adherence to long-term pharmacological treatments for chronic illnesses are only about 50%. Interventions for improving medication adherence largely focus on patients rather than on physicians; however, the strategies shown to be effective are complex and difficult to implement in clinical practice. There is a need for new care models addressing the problem of medication adherence, integrating this problem into the patient care process. Physicians tend to overestimate how well patients take their medication as prescribed. This can lead to missed opportunities to change medications, solve adverse effects, or propose the use of reminders in order to improve patients' adherence. Thus, providing physicians with feedback on medication adherence has the potential to prompt changes that improve their patients' adherence to prescribed medications.
objectivesTo assess the effects of providing physicians with feedback about their patients' medication adherence for improving adherence. We also assessed the effects of the intervention on patient outcomes, health resource use, and processes of care. SEARCH
methodsWe conducted a systematic search of the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, and Embase, all from database inception to December 2016 and without any language restriction. We also searched ISI Web of Science, two trials registers, and grey literature. SELECTION CRITERIA: We included randomised trials, controlled before-after studies, and interrupted time series studies that compared the effects of providing feedback to physicians about their patients' adherence to prescribed long-term medications for chronic diseases versus usual care. We included published or unpublished studies in any language. Participants included any physician and any patient prescribed with long-term medication for chronic disease. We included interventions providing the prescribing physician with information about patient adherence to medication. Only studies in which feedback to the physician was the sole intervention or the essential component of a multifaceted intervention were eligible. In the comparison groups, the physicians should not have had access to information about their patients' adherence to medication. We considered the following outcomes: medication adherence, patient outcomes, health resource use, processes of care, and adverse events. DATA COLLECTION AND ANALYSIS: Two independent review authors extracted and analysed all data using standard methodological procedures expected by Cochrane and the Effective Practice and Organisation of Care group. Due to heterogeneity in study methodology, comparison groups, intervention settings, and measurements of outcomes, we did not carry out meta-analysis. We describe the impact of interventions on outcomes in tabular form and make a qualitative assessment of the effects of studies. MAIN
resultsWe included nine studies (23,255 patient participants): eight randomised trials and one interrupted time series analysis. The studies took place in primary care and other outpatient settings in the USA and Canada. Seven interventions involved the systematic provision of feedback to physicians concerning all their patients' adherence to medication, and two interventions involved issuing an alert for non-adherent patients only. Seven studies used pharmacy refill data to assess medication adherence, and two used an electronic device or self-reporting. The definition of adherence differed across studies, making comparisons difficult. Eight studies were at high risk of bias, and one study was at unclear risk of bias. The most frequent source of bias was lack of protection against contamination.Providing physicians with feedback may lead to little or no difference in medication adherence (seven studies, 22,924 patients), patient outcomes (two studies, 1292 patients), or health resource use (two studies, 4181 patients). Providing physicians with feedback on medication adherence may improve processes of care (e.g. more medication changes, dialogue with patient, management of uncontrolled hypertension) compared to usual care (four studies, 2780 patients). None of the studies reported an adverse event due to the intervention. The certainty of evidence was low for all outcomes, mainly due to high risk of bias, high heterogeneity across studies, and indirectness of evidence. AUTHORS'
conclusionsAcross nine studies, we observed little or no evidence that provision of feedback to physicians regarding their patients adherence to prescribed medication improved medication adherence, patient outcomes, or health resource use. Feedback about medication adherence may improve processes of care, but due to the small number of studies assessing this outcome and high risk of bias, we cannot draw firm conclusions on the effect of feedback on this outcome. Future research should use a clear, standardised definition of medication adherence and cluster-randomisation to avoid the risk of contamination.
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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.