ArticleHealth services research2019
Psychometric evaluation of the Medicare Advantage and prescription drug plan disenrollment reasons survey.
Article in Health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
3 citing papers in PubMed.
- Should I stay or should I go again: Multiple switching between fee-for-service Medicare and Medicare advantage among older beneficiaries.Health services research · 2025Article
- Patient administrative burden in the US health care system.Health services research · 2021Article
- Psychometric evaluation of the Medicare Advantage and prescription drug plan disenrollment reasons survey.Health services research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectivesTo develop and assess the reliability and validity of composite measures of reasons for disenrollment from Medicare Advantage (MA) and prescription drug plans (PDPs). DATA SOURCE: Medicare beneficiaries who responded to the Medicare Advantage and Prescription Drug Plan Disenrollment Reasons Survey. STUDY
designSeparate multilevel factor analyses of MA and PDP data suggested groupings of survey items to form composite measures, for which internal consistency and interunit reliability were estimated. The association of each composite with an overall plan rating was examined to evaluate criterion validity. PRINCIPAL
findingsFive composites were identified: financial reasons for disenrollment; problems with prescription drug benefits and coverage; problems getting information and help from the plan; problems getting needed care, coverage, and cost information; and problems with coverage of doctors and hospitals. Beneficiary-level internal consistency reliability exceeded 0.70 for all but one composite (financial reasons); plan-level internal consistency reliability exceeded 0.80 for all composites; average interunit reliability for plans with ≥ 30 survey completes exceeded 0.75 for 3 of 5 composites. As expected, greater endorsement of reasons for disenrollment was associated with lower overall plan ratings.
conclusionsThe Disenrollment Reasons Survey provides a reliable and valid assessment of beneficiaries' reasons for leaving their plans. Multiple reasons for disenrollment may indicate especially poor experiences.
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Registered trials
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