Evidence map›Paper›PMID 38320742›Full record

ArticleJournal of the American Medical Directors Association2024

Patient Priorities Care Increases Long-Term Service and Support Use: Propensity Match Cohort Study.

Rafael Samper-Ternent, Javad Razjouyan, Lilian Dindo, Jaime Halaszynski, Jennifer Silva, Terri Fried, Aanand D Naik

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 22% of its field
1 · What the graph read from it

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 registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Rafael Samper-TernentDepartment of Management, Policy, and Community Health, UTHealth Houston, Houston, TX, USA; Institute on Aging, UTHealth Houston, Houston, TX, USA. Electronic address: Rafael.samperternent@uth.tmc.edu.
Javad RazjouyanVA Health Services Research and Development Service, Center for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey VA Medical Center, Houston, TX, USA; Department of Medicine, Baylor College of Medicine, Houston, TX, USA; Big Data Scientist Training Enhancement Program (BD-STEP), VA Office of Research and Development, Washington, DC, USA.
Lilian DindoVA Health Services Research and Development Service, Center for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey VA Medical Center, Houston, TX, USA; Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Jaime HalaszynskiSocial Work Service, Butler VA Health Care System, Butler, PA, USA; VA National Social Work Program, Care Management and Social Work Services, Office of Patient Care Services, Department of Veterans Affairs, Washington, DC, USA.
Jennifer SilvaVA National Social Work Program, Care Management and Social Work Services, Office of Patient Care Services, Department of Veterans Affairs, Washington, DC, USA; Department of Medicine, Yale University School of Medicine, New Haven, CT, USA.
Terri FriedDepartment of Medicine, Yale University School of Medicine, New Haven, CT, USA; Connecticut Veterans Administration Health System, West Haven, CT, USA.
Aanand D NaikDepartment of Management, Policy, and Community Health, UTHealth Houston, Houston, TX, USA; Institute on Aging, UTHealth Houston, Houston, TX, USA; VA Health Services Research and Development Service, Center for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey VA Medical Center, Houston, TX, USA; Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Michael E. DeBakey VA Medical Center · USYale University · USInstitute on Aging · USOffice of Patient Care Services · US

Funding

Using Large Electronic Health Records and Advanced Analytics to Develop Predictive Frailty Trajectories in Patients with Heart FailureK25HL152006 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI RAZJOUYAN, JAVAD · 2020 to 2024
$719k
NHLBI NIH HHS K25 HL152006
6 · The paper itself

Abstract

objectivesPatient priorities care (PPC) is an evidence-based approach designed to help patients achieve what matters most to them by identifying their health priorities and working with clinicians to align the care they provide to the patient's priorities. This study examined the impact of the PPC approach on long-term service and support (LTSS) use among veterans.

designQuasi-experimental study examining differences in LTSS use between veterans exposed to PPC and propensity-matched controls not exposed to PPC adjusting for covariates. SETTING AND

participantsFifty-six social workers in 5 Veterans Health Administration (VHA) sites trained in PPC in 2018, 143 veterans who used the PPC approach, and 286 matched veterans who did not use the PPC approach.

methodsVeterans with health priorities identified through the PPC approach were the intervention group (n = 143). The usual care group included propensity-matched veterans evaluated by the same social workers in the same period who did not participate in PPC (n = 286). The visit with the social worker was the index date. We examined LTSS use, emergency department (ED), and urgent care visits, 12 months before and after this date for both groups. Electronic medical record notes were extracted with a validated natural language processing algorithm (84% sensitivity, 95% specificity, and 92% accuracy).

resultsMost participants were white men, mean age was 76, and 30% were frail. LTSS use was 48% higher in the PPC group compared with the usual care group [odds ratio (OR), 1.48; 95% CI, 1.00-2.18; P = .05]. Among those who lived >2 years after the index date, new LTSS use was higher (OR, 1.69; 95% CI, 1.04-2.76; P = .036). Among nonfrail individuals, LTSS use was also higher in the PPC group (OR, 1.70; 95% CI, 1.06-2.74; P = .028). PPC was not associated with higher ED or urgent care use. CONCLUSIONS AND IMPLICATIONS: PPC results in higher LTSS use but not ED or urgent care in these veterans. LTSS use was higher for nonfrail veterans and those living longer. The PPC approach helps identify health priorities, including unmet needs for safe and independent living that LTSS can support.

Indexed as

Propensity ScoreAgedCohort StudiesFemaleHealth PrioritiesHumansLong-Term CareMaleMiddle AgedUnited StatesUnited States Department of Veterans AffairsVeteransLong-term services and supportsolder adultspatient prioritiesveterans

Identifiers

PMID38320742
PMCPMC11137700
OpenAlexW4391507234

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.