Evidence map›Paper›PMID 30830812›Full record

ArticleHealth affairs (Project Hope)2019

Spillover Effects From A Consumer-Based Intervention To Increase High-Value Preventive Care.

Betsy Q Cliff, Richard A Hirth, A Mark Fendrick

Abstract read
In one paragraph

Article in Health affairs (Project Hope), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

3 authors.

Betsy Q CliffBetsy Q. Cliff ( bqcliff@umich.edu ) is a doctoral candidate in the Department of Health Management and Policy, University of Michigan School of Public Health, in Ann Arbor.
Richard A HirthRichard A. Hirth is a professor in the Department of Health Management and Policy, University of Michigan School of Public Health.
A Mark FendrickA. Mark Fendrick is a professor in the Department of Internal Medicine, University of Michigan.

Funding

AHRQ HHS R36 HS025614
6 · The paper itself

Abstract

Increasing the use of high-value medical services and reducing the use of services with little or no clinical value are key goals for efficient health systems. Yet encouraging the use of high-value services may unintentionally affect the use of low-value services. We examined the likelihood of high- and low-value service use in the first two years after an insurance benefit change in 2011 for one state's employees that promoted use of high-value preventive services. In the intervention group, compared to a control sample with stable benefit plans, in year 1 the likelihood of high-value service use increased 11.0 percentage points, and the likelihood of low-value service use increased 7.9 percentage points. For that year we associated 74 percent of the increase in high-value services and 57 percent of the increase in low-value services with greater use of preventive visits. Our results imply that interventions aimed at increasing receipt of high-value preventive services can cause spillovers to low-value services and should include deterrents to low-value care as implemented in later years of this program.

Indexed as

Consumer BehaviorHealth Benefit Plans, EmployeeAdultFemaleHumansMalePreventive MedicineUnited Statesconsumer incentiveshigh-value servicesinsurance benefit designlow-value servicespreventive care

Identifiers

PMID30830812
PMCPMC8168457

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.