ArticleHealth expectations : an international journal of public participation in health care and health policy2016
The willingness of informal caregivers to assist their care-recipient to use Home Medicines Review.
Article in Health expectations : an international journal of public participation in health care and health policy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Impact of pharmacist-led home medicines review services on drug-related problems among the elderly population: a systematic review.Epidemiology and health · 2019Pooled it
- Article
- Hassles with medication management perceived by caregivers of adults who have intellectual or developmental disabilities.International journal of clinical pharmacy · 2019Article
- Medication management activities performed by informal caregivers of older adults.Research in social & administrative pharmacy : RSAP · 2018Article
- A qualitative study exploring medication management in people with dementia living in the community and the potential role of the community pharmacist.Health expectations : an international journal of public participation in health care and health policy · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesInformal caregivers experience daily hassles - a form of persistent stress, as a consequence of caregiving. This study aimed to develop and test a new theoretical model of health information-seeking behaviour, the Knowledge Hassles Information Seeking Model (KHISM). KHISM hypothesized that the knowledge hassles of caregivers - daily stressors experienced while dealing with tasks which require knowledge about the safety and effectiveness of the care-recipients' medicines - would influence caregivers' willingness to assist their care-recipient to use an Australian medication management service, Home Medicines Review (HMR).
methodsA cross-sectional postal survey was conducted among 2350 members of Carers (NSW, Australia). Respondents were included in the study if they were involved in medication-related tasks for their care-recipient and were not paid as caregivers. Also, their care-recipient needed to be taking more than five medicines daily or more than 12 doses daily and had not yet experienced HMR. Structural equation modelling was used to test the model.
resultsA total of 324 useable surveys were returned yielding a response rate of 14%. Respondents were quite willing to assist their care-recipient to use HMR (willingness). The model predicted 51% of the variation in willingness. Knowledge hassles increased positive outcome expectancy (β = 0.40, P < 0.05) and indirectly increased willingness.
conclusionsThe more caregivers experience hassles with medication knowledge, the more they perceive HMR to be a helpful information source and the more willing they are to use it. Targeted marketing centred on HMR as an information source may increase caregivers' demand for HMR. Further exploration of the phenomenon of knowledge hassles is warranted.
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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.