Evidence map›Paper›PMID 39611172›Full record

ArticleFrontiers in pharmacology2024

Variation in adherence measures as a function of calculation methods.

Jeffrey M Rohay, Jacqueline M Dunbar-Jacob

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07721090 (Pharmacological Management Optimization for Oral Mucosal Disorders), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT07721090 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Pharmacological Management Optimization for Oral Mucosal Disorders: A Clinical Pharmacist Led Cluster Randomized Controlled Trial With Implementation Science Evaluation

TypeinterventionalSponsorUniversity of FujairahRan2026 to 2027Enrolled336ConditionsOral Lichen Planus, Recurrent Aphthous Stomatitis, Burning Mouth Syndrome, Oral CandidiasisArmsPharmacist-Led Prescribing Optimization and Patient Counselling
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Psychometric evaluation of the PROMISJournal of patient-reported outcomes · 2026
    Observational
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jeffrey M RohayUniversity of Pittsburgh, School of Nursing, Pittsburgh, PA, United States.
Jacqueline M Dunbar-JacobUniversity of Pittsburgh, School of Nursing, Pittsburgh, PA, United States.

Funding

IMPROVING MEDICATION ADHERENCE IN COMORBID CONDITIONSR01DK059048 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUNBAR-JACOB, JACQUELINE M · 2000 to 2004
$2.6M
NIDDK NIH HHS R01 DK059048
6 · The paper itself

Abstract

Aim: We aim to compare different operational definitions of medication adherence as well as examine the within-patient variability among these measures among patients treated for multiple comorbid conditions. Methods: Electronically monitored adherence data from a study on comorbid conditions were examined using three different calculation methods. DAILY adherence calculated the number of administrations divided by the number prescribed, without considering inter-dose interval. TIMING used predefined inter-dose intervals. Measures were aggregated to six 30-day periods. A PILLCOUNT approach counted the total administrations divided by the expected number in each 30-day period. Within-patient variability was computed based on DAILY and TIMING results for each 30-day period. Results: Results varied by adherence calculation method. PILLCOUNT demonstrated the largest adherence rates (89%-92%); DAILY rates were lower (79%-85%); and TIMING was the lowest (62%-68%) over the 6-month period. TIMING within-patient variability (29%-35%) was larger than DAILY (20%-25%). Discussion: Differences among the three methods confirm the importance of the adherence definition. TIMING may underestimate medicinal effects because patients may take medication as instructed (e.g., with meals) rather than at fixed intervals. PILLCOUNT may overestimate adherence by not accounting for inconsistent use. DAILY may best provide daily estimates of correct administration. Higher variability for TIMING may indicate patients are more likely to vary time between doses. Adherence calculation methods are important in interpreting results. Variability measures provide a more complete picture of adherence and may raise the likelihood of effects on biological outcomes. We propose studies of adherence include calculation method in the definition of adherence.

Indexed as

adherencecalculation methodelectronic monitoringoperational definitionwithin patient variability

Identifiers

PMID39611172
PMCPMC11603389

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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.