Observational studyHealth services research2023
Unmet needs for food, medicine, and mental health services among vulnerable older adults during the COVID-19 pandemic.
Observational study in Health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 11 citations in OpenAlex.
- Greater Covid-19 vaccine uptake among enrollees offered health and social needs case management: Results from a randomized trial.Health services research · 2024Trial
- Referrals to Community and State Agencies to Address Social Determinants of Health for Improving Mental Health, Functioning, and Quality of Care Outcomes for Diverse Adults.American journal of public health · 2024Trial
- A systematic review of unmet needs of older adults in home settings and their implications for novel technological solutions.Innovation in aging · 2025Article
- Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions.Journal of clinical and translational science · 2024Article
- Unmet needs for food, medicine, and mental health services among vulnerable older adults during the COVID-19 pandemic.Health services research · 2023Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo examine sociodemographic factors associated with having unmet needs in medications, mental health, and food security among older adults during the COVID-19 pandemic. DATA SOURCES AND STUDY
settingPrimary data and secondary data from the electronic health records (EHR) in an age-friendly academic health system in 2020 were used. STUDY
designObservational study examining factors associated with having unmet needs in medications, food, and mental health. DATA COLLECTING/EXTRACTION
methodsData from a computer-assisted telephone interview and EHR on community-dwelling older patients were analyzed. PRINCIPLE
findingsAmong 3400 eligible patients, 1921 (53.3%) (average age 76, SD 11) responded, with 857 (45%) of respondents having at least one unmet need. Unmet needs for medications were present in 595 (31.0%), for food in 196 (10.2%), and for mental health services in 292 (15.2%). Racial minorities had significantly higher probabilities of having unmet needs for medicine and food, and of being referred for services related to medications, food, and mental health. Patients living in more resource-limited neighborhoods had a higher probability of being referred for mental health services.
conclusionsAge-friendly health systems (AFHS) and their recognition should include assessing and addressing social risk factors among older adults. Proactive efforts to address unmet needs should be integral to AFHS.
Indexed as
Identifiers
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.