Evidence map›Paper›PMID 31787841›Full record

ArticleHealth services & outcomes research methodology2019

Causal Difference-in-Differences Estimation for Evaluating the Impact of Semi-Continuous Medical Home Scores on Health Care for Children.

Bing Han, Hao Yu

Abstract read
In one paragraph

Article in Health services & outcomes research methodology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

2 authors.

Bing HanRAND Corporation, Santa Monica, CA bhan@rand.org.
Hao YuRAND Corporation, Pittsburgh, PA haoyu@rand.org.

Funding

Physician Distribution and Health Care Access, Costs, And QualityR01HS023336 · AHRQ · RAND CORPORATION · PI YU, HAO · 2014 to 2014
$1.0M
A Model Averaging Approach to Causal Inference in Substance Abuse Prevention ResearchR01DA040721 · NIDA · RAND CORPORATION · PI HAN, BING · 2016 to 2018
$808k
A Novel Casual Difference-in-differences Method to Study the Medical Home EffectsR21HD078881 · NICHD · RAND CORPORATION · PI HAN, BING · 2014 to 2015
$526k
AHRQ HHS R01 HS023336NICHD NIH HHS R21 HD078881NIDA NIH HHS R01 DA040721
6 · The paper itself

Abstract

Difference-in-differences (DID) is a popular approach in observational and quasi-experimental studies to estimate the effects of a treatment with discrete statuses. In many studies, however, the treatment can have a range of dosages or exposure levels. In our paper, "medical homeness" is a semi-continuous score ranging from 0 to 100 to indicate the extent to which a patient-centered medical home model is achieved. We developed a causal DID approach to estimating the effects of a treatment with semi-continuous dosages. The proposed approach allows for mixed-type designs as well as different propensity models. We applied the proposed approach to evaluate the dosage effect of medical homeness scores on the utilization and quality of children's health care. We found that there was a roughly linear effect of medical homeness scores on the annual number of visits to doctor offices when medical homeness scores were below 60 points. The number of office visits did not further increase when medical homeness scores were above 60. A similar relationship was found between medical homeness scores and ratings for health care quality.

Identifiers

PMID31787841
PMCPMC6884399

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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.