ArticlePloS one2017
Predicting carer health effects for use in economic evaluation.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Spillover Effects on Caregivers' and Family Members' Utility: A Systematic Review of the Literature.PharmacoEconomics · 2019Pooled it
- Carer Health-Related Quality of Life: A Review of Modelling Considerations in National Institute for Health and Care Excellence Technology Appraisals (2000-2023).PharmacoEconomics - open · 2025Article
- Care mobilities and associated contexts of hospital-based informal caregiving in Nigeria: Towards an explanatory framework.PloS one · 2025Article
- Modelling Informal Carers' Health-Related Quality of Life: Challenges for Economic Evaluation.Applied health economics and health policy · 2024Review
- Impact of Including Carer Information in Time Trade-Off Tasks: Results from a Pilot Study.PharmacoEconomics - open · 2021Article
- Article
- Caring for Carers: Positive and Normative Challenges for Future Research on Carer Spillover Effects in Economic Evaluation.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2019Article
- The Monetary Value of Informal Care: Obtaining Pure Time Valuations Using a Discrete Choice Experiment.PharmacoEconomics · 2019Article
- Estimating Informal Caregiving Time from Patient EQ-5D Data: The Informal CARE Effect (iCARE) Tool.PharmacoEconomics · 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
3 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundIllnesses and interventions can affect the health status of family carers in addition to patients. However economic evaluation studies rarely incorporate data on health status of carers.
objectivesWe investigated whether changes in carer health status could be 'predicted' from the health data of those they provide care to (patients), as a means of incorporating carer outcomes in economic evaluation.
methodsWe used a case study of the family impact of meningitis, with 497 carer-patient dyads surveyed at two points. We used regression models to analyse changes in carers' health status, to derive predictive algorithms based on variables relating to the patient. We evaluated the predictive accuracy of different models using standard model fit criteria.
resultsIt was feasible to estimate models to predict changes in carers' health status. However, the predictions generated in an external testing sample were poorly correlated with the observed changes in individual carers' health status. When aggregated, predictions provided some indication of the observed health changes for groups of carers.
conclusionsAt present, a 'one-size-fits-all' predictive model of carer outcomes does not appear possible and further research aimed to identify predictors of carer's health status from (readily available) patient data is recommended. In the meanwhile, it may be better to encourage the targeted collection of carer data in primary research to enable carer outcomes to be better reflected in economic evaluation.
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What OpenQuestion holds
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.