Evidence map›Paper›PMID 33639929›Full record

ArticleBMC health services research2021

Access to after-hours primary care: a key determinant of children's medical home status.

Bing Han, Peggy Guey-Chi Chen, Hao Yu

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Bing HanHealth Unit, RAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, USA.
Peggy Guey-Chi ChenHealth Unit, RAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, USA.
Hao YuDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Landmark Center, 401 Park Drive, Suite 401 East, Boston, MA, 02215, USA. hao_yu@hphci.harvard.edu.ORCID http://orcid.org/0000-0003-1091-9259
RAND Corporation · USHarvard University · US

Funding

A Novel Casual Difference-in-differences Method to Study the Medical Home EffectsR21HD078881 · NICHD · RAND CORPORATION · PI HAN, BING · 2014 to 2015
$526k
Agency for Healthcare Research and Quality R01HS023336Eunice Kennedy Shriver National Institute of Child Health and Human Development R21HD078881NICHD NIH HHS R21 HD078881
6 · The paper itself

Abstract

backgroundThe medical home (MH) model has been promoted by both the federal and state governments in the United States in recent years. To ascertain American children's MH status, many studies have relied on a large set of survey items, posing a considerable burden on their parents. We aimed to identify individual survey items or domains that best predict MH status for children and use them to develop brief markers of MH status. We also examined whether the identified items differed by status of special health care needs and by racial/ethnic group.

methodUsing the 9-year data from Medical Expenditure Panel Survey, we examined associations between children's MH status and individual survey items or domains. We randomly split the data into two halves with the first half (training sample, n = 8611) used to identify promising items, and the second half (validation sample, n = 8779) used to calculate all statistical measures. After discovering significant predictors of children's MH status, we incorporated them into several brief markers of MH status. We also conducted stratified analyses by status of special health care needs and by racial/ethnic group.

resultsLess than half (48.7%) of the 8779 study children had a MH. The accessibility domain has stronger association with children's MH status (specificity = 0.84, sensitivity = 1, Kappa = 0.83) than other domains. The top two items with the strongest association with MH status asked about after-hours primary care access, including doctors' office hours at night or on the weekend and children's difficulty accessing care after hours. Both belong to the accessibility domain and are one of several reliable markers for children's MH status. While each of the two items did not differ significantly by status of special health care needs, there were considerable disparities across racial/ethnic groups with Latino children lagging behind other children.

conclusionAccessibility, especially the ability to access health care after regular office hours, appears to be the major predictor of having a MH among children. The ongoing efforts to promote the MH model need to target improving accessibility of health care after regular hours for children overall and especially for Latino children.

Indexed as

Child Health ServicesChildHealth Care SurveysHealth Services AccessibilityHispanic or LatinoHumansPatient-Centered CareUnited StatesAccessibilityAfter-hours accessChildMarkerMedical home

Identifiers

PMID33639929
PMCPMC7913420
OpenAlexW3135177189

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.