ArticleStudies in health technology and informatics2022
Application of Machine Learning Techniques to Examine Social Service Needs Among Hispanic Family Caregivers of Persons with Dementia.
Sunmoo Yoon, Alexandra Mendes, Louis Burgio, Mary Mittelman, Ilana Dunner, Jed A Levine, Carolina Hoyos, Dante Tipiani, Mildred Ramirez, Jeanne A Teresi and 1 more
Open access · hybridAbstract read
In one paragraphArticle in Studies in health technology and informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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.
2 · The registryThe 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.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed, 1 citations in OpenAlex.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
11 authors at 7 institutions in 1 country.
Sunmoo YoonGeneral Medicine, Department of Medicine, Columbia University, USA.
Alexandra MendesNeighborhood SHOPP, NY, USA.
Louis BurgioBurgio Geriatric Consulting, Tuscaloosa, AL, USA.
Mary MittelmanDepartments of Psychiatry, NYU Grossman School of Medicine, USA.
Ilana DunnerRiverstone Senior Life Services, USA.
Jed A LevineCaringKind, USA.
Carolina HoyosCaringKind, USA.
Dante TipianiCaringKind, USA.
Mildred RamirezResearch Division, Hebrew Home Riverdale, USA.
Jeanne A TeresiColumbia University Stroud Center at New York State Psychiatric Institute, USA.
José A LuchsingerGeneral Medicine, Department of Medicine, Columbia University, USA.
Capital Caring · USColumbia University · USHebrew Home · USNeighborhood House · USNew York State Psychiatric InstituteNew York University · USRiverstone Senior Life Services · US
Funding
Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0MResearch Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Arjun Vijay Masurkar · 2020 to 2026
$28.4MClinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2MResearch Education CoreP30AG059303 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ADAM M BRICKMAN, Jennifer Jaie Manly · 2018 to 2026
$6.0MReaching Communities through the Design of Information Visualizations (ReDIVis) Toolbox to Address COVID-19 Vaccine Hesitancy and Uptake.P30NR016587 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE, SMALDONE, ARLENE M · 2016 to 2022
$4.3MUsing Twitter to Enhance the Social Support of Hispanic and Black Dementia Caregivers (Tweet-SS)R01AG060929 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI YOON, SUNMOO · 2019 to 2023
$3.0MNew York City Hispanic Dementia Caregiver Research Program (NHiRP)R01NR014430 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE, LUCHSINGER, JOSE ALEJANDRO · 2013 to 2017
$2.9MMidcareer Award for Research in Dementia Risk Factors and PreventionK24AG045334 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Jose Alejandro Luchsinger · 2016 to 2026
$1.5MNCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001873NIA NIH HHS K24 AG045334NIA NIH HHS P30 AG059303NIA NIH HHS P30 AG066512NIA NIH HHS R01 AG060929NINR NIH HHS P30 NR016587NINR NIH HHS R01 NR014430
6 · The paper itselfAbstract
We applied machine learning algorithms to examine the relationship between demographics and outcomes of the social work services used by Hispanic family caregivers of persons with dementia recruited for a clinical trial in New York City. The social work service needs were largely concentrated on instrumental support to gain access to the healthcare system rather than other concrete services (e.g., housing or food programs) or to address psychological needs among the caregivers with relatively higher income. A finding from the machine learning approach was that among those who receive medical-related social work services, frequent users (≥10 times) with high family friend support(>4) were more likely than frequent users without such support to have their issues resolved (Accuracy: 81.9%, AUC: 0.82, F-measure: 0.86 by J48). Even though half of the participants received social work services multiple times, the needs of the caregivers remained unmet unless they sought social work services frequently (more than ten times).
Indexed as
CaregiversDementiaHealth Services Needs and DemandHispanic or LatinoHumansMachine LearningSocial SupportSocial Workagingdementia caregivingdisparitiesmachine learningsocial work
Identifiers
PMID35773922
PMCPMC9260888
OpenAlexW4283727565
What OpenQuestion holds
Textmetadata
LicenceTDM
Read underepoch 390