Evidence map›Paper›PMID 42504808›Full record

ReviewJournal of managed care & specialty pharmacy2026

Advancing the measurement of caregiver impact: Data collection priorities aligned with caregiver, health technology assessment, and policy stakeholders.

Jason Resendez, Yadira Montoya, Benjamin G Cohen, Caroline Kacergis, Paul Steel, Brett McQueen, Stacey Kowal

Abstract readReview
In one paragraph

Review in Journal of managed care & specialty pharmacy, 2026. 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
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jason ResendezNational Alliance for Caregiving, Washington, DC.
Yadira MontoyaNational Alliance for Caregiving, Washington, DC.
Benjamin G CohenStage Analytics, Suwanee, GA.
Caroline KacergisStage Analytics, Suwanee, GA.
Paul SteelStage Analytics, Suwanee, GA.
Brett McQueenStage Analytics, Suwanee, GA.
Stacey KowalGenentech Inc. San Francisco, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFamily caregiving plays a central role in the US health care system, with substantial economic, health, and policy implications. In 2024, the estimated economic value of unpaid caregiving exceeded $1 trillion, with tens of millions of individuals providing care nationwide. However, caregiver impacts are inconsistently measured and rarely incorporated into clinical evidence, economic evaluations, and health technology assessments, limiting their use in coverage, formulary, and policy contexts. As a result, health care decision-making may not fully capture the broader benefits, costs, and tradeoffs of interventions that shift care responsibilities to families. Heterogeneity in measurement approaches and lack of consensus on which caregiver impacts are most relevant further constrain comparability and downstream application of available evidence.

objectiveTo identify evidence gaps and priorities for caregiver impact data collection aligned with caregiver, health technology assessment, and policy stakeholders to support consistent, relevant evidence generation for value assessment and health care decision-making in the US.

methodsWe conducted a targeted literature review of US-focused studies that assessed caregiver impact using validated or adapted measurement tools, including peer-reviewed or gray literature reporting caregiver outcomes or measurement gaps. Findings informed a 6-hour, in-person, multistakeholder workshop with 11 participants representing academic research, patient and caregiver perspectives, and advocacy organizations. Participants reviewed and prioritized caregiver impact elements through an iterative ranking exercise and completed a structured voting exercise to identify priorities for advancing caregiving data collection and use.

resultsThe targeted literature review identified substantial heterogeneity in caregiver impact measurement, including variation in elements assessed, instruments used, timing, and reporting practices, with limited assessment across the patient journey. Ten caregiver impact elements were identified and subsequently refined to 8 prioritized elements through stakeholder consensus. Financial strain, physical health, and emotional strain emerged as the highest-priority elements. In the voting exercise, participants prioritized economic focus (eg, budget impact, cost consequences, and resource use), standardized metrics, and longitudinal or trajectory-based assessment as key opportunities to improve the usability of caregiver evidence.

conclusionsCaregiver impacts remain underrepresented in US evidence frameworks owing to inconsistent measurement and lack of alignment on the most salient outcomes. Findings from this study highlight pragmatic, stakeholder-informed priorities to strengthen caregiver data collection and reporting. Adopting standardized core elements, validated instruments, and assessment over time can improve the visibility and integration of caregiver impacts across research, policy, and health care delivery.

Indexed as

CaregiversData CollectionHealth PolicyTechnology Assessment, BiomedicalHumansStakeholder ParticipationUnited States

Identifiers

PMID42504808
PMCPMC13403257

What OpenQuestion holds

Textmetadata
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.