ArticleHealth services research2014
Using self-reported health measures to predict high-need cases among Medicaid-eligible adults.
Article in Health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis 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
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prediction Models for Future High-Need High-Cost Healthcare Use: a Systematic Review.Journal of general internal medicine · 2022Pooled it
- Can patient-reported data improve predictions about who will be a high-need, high-cost patient in British Columbia?Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- Physician and informal care use explained by the Pediatric Quality of Life Inventory (PedsQL) in children with suspected genetic disorders.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Article
- Article
- [Predictive validity of a functional classification method in older adultsValidação preditiva de método de classificação funcional em idosos].Revista panamericana de salud publica = Pan American journal of public health · 2021Article
- Identifying subgroups of persons with multimorbidity based on their needs for care and support.BMC family practice · 2019Article
- Trajectories of Rehabilitation across Complex Environments (TRaCE): design and baseline characteristics for a prospective cohort study on spinal cord injury and acquired brain injury.BMC health services research · 2019Article
- Article
- Development of a care guidance index based on what matters to patients.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018Article
- Article
- Health Care Use and Spending for Medicaid Enrollees in Federally Qualified Health Centers Versus Other Primary Care Settings.American journal of public health · 2016Article
- Identifying Patients at Risk of High Healthcare Utilization.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Applying Sequential Analytic Methods to Self-Reported Information to Anticipate Care Needs.EGEMS (Washington, DC) · 2016Article
- Predicting Future Utilization Using Self-Reported Health and Health Conditions in a Longitudinal Cohort Study: Implications for Health Insurance Decision Support.Inquiry : a journal of medical care organization, provision and financingArticle
- Health Savings Accounts: Consumer Contribution Strategies and Policy Implications.MDM policy & practiceArticle
- Predicting Health Care Utilization for Children With Respiratory Insufficiency Using Parent-Proxy Ratings of Children's Health-Related Quality of Life.Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & PractitionersArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
objectiveTo assess the ability of different self-reported health (SRH) measures to prospectively identify individuals with high future health care needs among adults eligible for Medicaid. DATA SOURCES: The 1997-2008 rounds of the National Health Interview Survey linked to the 1998-2009 rounds of the Medical Expenditure Panel Survey (n = 6,725). STUDY
designMultivariate logistic regression models are fitted for the following outcomes: having an inpatient visit; membership in the top decile of emergency room utilization; and membership in the top cost decile. We examine the incremental predictive ability of six different SRH domains (health conditions, mental health, access to care, health behaviors, health-related quality of life [HRQOL], and prior utilization) over a baseline model with sociodemographic characteristics. Models are evaluated using the c-statistic, integrated discrimination improvement, sensitivity, specificity, and predictive values. PRINCIPAL
findingsSelf-reports of prior utilization provide the greatest predictive improvement, followed by information on health conditions and HRQOL. Models including these three domains meet the standard threshold of acceptability (c-statistics range from 0.703 to 0.751).
conclusionsSRH measures provide a promising way to prospectively profile Medicaid-eligible adults by likely health care needs.
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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.