Development of an Item Bank to Measure Medication Adherence: Systematic Review.
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ABSTRACT:
SUBMITTER: Kwan YH
PROVIDER: S-EPMC7582150 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
Publications
Development of an Item Bank to Measure Medication Adherence: Systematic Review.
Kwan Yu Heng YH Oo Livia Jia Yi LJY Loh Dionne Hui Fang DHF Phang Jie Kie JK Weng Si Dun SD Blalock Dan V DV Chew Eng Hui EH Yap Kai Zhen KZ Tan Corrinne Yong Koon CYK Yoon Sungwon S Fong Warren W Østbye Truls T Low Lian Leng LL Bosworth Hayden Barry HB Thumboo Julian J
Journal of medical Internet research 20201008 10
<h4>Background</h4>Medication adherence is important in managing the progression of chronic diseases. A promising approach to reduce cognitive burden when measuring medication adherence lies in the use of computer-adaptive tests (CATs) or in the development of shorter patient-reported outcome measures (PROMs). However, the lack of an item bank currently hampers this progress.<h4>Objective</h4>We aim to develop an item bank to measure general medication adherence.<h4>Methods</h4>Using the preferr ...[more]
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Project description:BackgroundSocial relationships (SR) is an important domain of health-related quality of life. We developed and calibrated a novel item bank to measure SR in Singapore, a multi-ethnic city in Southeast Asia.MethodsWe developed an initial candidate pool of 51 items from focus groups, individual in-depth interviews and existing instruments that had been developed and/or validated for use in Singapore. We administered all items in English to a multi-stage sample of subjects, stratified for age and gender, with and without medical conditions, recruited from community and hospital settings. We calibrated their responses using Samejima's Graded Response Model (SGRM). We evaluated a final 30-item bank with respect to Item Response Theory (IRT) model assumptions, model fit, differential item functioning (DIF), and concurrent and known-groups validity.ResultsAmong 503 participants (47.7% male, 41.4% above 50?years old, 34.0% Chinese, 33.6% Malay and 32.4% Indian), bi-factor model analyses supported essential unidimensionality: explained common variance of the general factor was 0.805 and omega hierarchical was 0.98. Local independence was deemed acceptable: the average absolute residual correlations were?<?0.06 and 1.8% of the total item-pair residuals were flagged for local dependence. The overall SGRM model fit was adequate (p?=?0.146). Five items exhibited DIF with respect to age, ethnicity and education, but were retained without modification of scores because they measured important aspects of SR. The SR scores correlated in the hypothesized direction with a self-reported measure of global health (Spearman's rho?=?-?0.28, p?<?0.001).ConclusionThe 30-item SR item bank has shown acceptable psychometric properties. Future studies to evaluate the validity of SR scores when items are administered adaptively are needed.
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Project description:BackgroundLess than half of patients with cardiometabolic disease consistently take prescribed medications. While health insurers and some delivery organizations use claims to measure adherence, most clinicians do not have access during routine interactions. Self-reported scales exist, but their practical utility is often limited by length or cost. By contrast, the accuracy of a new 3-item self-reported measure has been demonstrated in individuals with HIV. We evaluated its concordance with claims-based adherence measures in cardiometabolic disease.MethodsWe used data from a recently-completed pragmatic trial of patients with cardiometabolic conditions. After 12 months of follow-up, intervention subjects were mailed a survey with the 3-item measure that queries about medication use in the prior 30 days. Responses were linearly transformed and averaged. Adherence was also measured in claims in month 12 and months 1-12 of the trial using proportion of days covered (PDC) metrics. We compared validation metrics for non-adherence for self-report (average <0.80) compared with claims (PDC <0.80).ResultsOf 459 patients returning the survey (response rate: 43.5%), 50.1% were non-adherent in claims in month 12 while 20.9% were non-adherent based on the survey. Specificity of the 3-item metric for non-adherence was high (month 12: 0.83). Sensitivity was relatively poor (month 12: 0.25). Month 12 positive and negative predictive values were 0.59 and 0.52, respectively.ConclusionsA 3-item self-reported measure has high specificity but poor sensitivity for non-adherence versus claims in cardiometabolic disease. Despite this, the tool could help target those needing adherence support, particularly in the absence of claims data.
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Project description:OBJECTIVES:Functional outcomes following cochlear implantation have traditionally been focused on word and sentence recognition, which, although important, do not capture the varied communication and other experiences of adult cochlear implant (CI) users. Although the inadequacies of speech recognition to quantify CI user benefits are widely acknowledged, rarely have adult CI user outcomes been comprehensively assessed beyond these conventional measures. An important limitation in addressing this knowledge gap is that patient-reported outcome measures have not been developed and validated in adult CI patients using rigorous scientific methods. The purpose of the present study is to build on our previous work and create an item bank that can be used to develop new patient-reported outcome measures that assess CI quality of life (QOL) in the adult CI population. DESIGN:An online questionnaire was made available to 500 adult CI users who represented the adult CI population and were recruited through a consortium of 20 CI centers in the United States. The questionnaire included the 101 question CIQOL item pool and additional questions related to demographics, hearing and CI history, and speech recognition scores. In accordance with the Patient-Reported Outcomes Measurement Information System, responses were psychometrically analyzed using confirmatory factor analysis and item response theory. RESULTS:Of the 500 questionnaires sent, 371 (74.2%) subjects completed the questionnaire. Subjects represented the full range of age, durations of CI use, speech recognition abilities, and listening modalities of the adult CI population; subjects were implanted with each of the three CI manufacturers' devices. The initial item pool consisted of the following domain constructs: communication, emotional, entertainment, environment, independence, listening effort, and social. Through psychometric analysis, after removing locally dependent and misfitting items, all of the domains were found to have sound psychometric properties, with the exception of the independence domain. This resulted in a final CIQOL item bank of 81 items in 6 domains with good psychometric properties. CONCLUSIONS:Our findings reveal that hypothesis-driven quantitative analyses result in a psychometrically sound CIQOL item bank, organized into unique domains comprised of independent items which measure the full ability range of the adult CI population. The final item bank will now be used to develop new instruments that evaluate and differentiate adult CIQOL across the patient ability spectrum.
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Project description:OBJECTIVE:To determine the economic impact of medication non-adherence across multiple disease groups. DESIGN:Systematic review. EVIDENCE REVIEW:A comprehensive literature search was conducted in PubMed and Scopus in September 2017. Studies quantifying the cost of medication non-adherence in relation to economic impact were included. Relevant information was extracted and quality assessed using the Drummond checklist. RESULTS:Seventy-nine individual studies assessing the cost of medication non-adherence across 14 disease groups were included. Wide-scoping cost variations were reported, with lower levels of adherence generally associated with higher total costs. The annual adjusted disease-specific economic cost of non-adherence per person ranged from $949 to $44?190 (in 2015 US$). Costs attributed to 'all causes' non-adherence ranged from $5271 to $52?341. Medication possession ratio was the metric most used to calculate patient adherence, with varying cut-off points defining non-adherence. The main indicators used to measure the cost of non-adherence were total cost or total healthcare cost (83% of studies), pharmacy costs (70%), inpatient costs (46%), outpatient costs (50%), emergency department visit costs (27%), medical costs (29%) and hospitalisation costs (18%). Drummond quality assessment yielded 10 studies of high quality with all studies performing partial economic evaluations to varying extents. CONCLUSION:Medication non-adherence places a significant cost burden on healthcare systems. Current research assessing the economic impact of medication non-adherence is limited and of varying quality, failing to provide adaptable data to influence health policy. The correlation between increased non-adherence and higher disease prevalence should be used to inform policymakers to help circumvent avoidable costs to the healthcare system. Differences in methods make the comparison among studies challenging and an accurate estimation of true magnitude of the cost impossible. Standardisation of the metric measures used to estimate medication non-adherence and development of a streamlined approach to quantify costs is required. PROSPERO REGISTRATION NUMBER:CRD42015027338.
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Project description:OBJECTIVE:This review aims to inform research and clinical care on the current state of knowledge on the relationship between positive affect and medication adherence. METHOD:Searches were carried out in PsycINFO, PubMed MEDLINE, Cochrane Central Register of Controlled Trials (CENTRAL), CINAHL, and Embase. There were no limits on study type, publication date, language, or participant demographics. Studies reporting a relationship between positive affect and medication adherence were eligible for inclusion if positive affect was measured prior to or concurrently with medication adherence. RESULTS:Nine studies met inclusion criteria. All studies were prospective cohort or cross-sectional and examined positive affect and medication adherence in people living with HIV or cardiovascular conditions. The majority of results indicated positive associations between positive affect and medication adherence, with Cohen's d effect sizes ranging from -0.40 to 1.27. CONCLUSIONS:Consistent with previous theoretical work, this systematic review provides evidence of a link between positive affect and improved medication adherence. Better measurement of both affect and medication adherence across chronic conditions is an important focus for future research and will inform targeted interventions to improve adherence and, ultimately, decrease the morbidity, mortality, and cost associated with suboptimal adherence in chronic physical conditions. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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