Evidence map›Paper›PMID 30548139›Full record

ArticleJournal of paediatrics and child health2019

Spatial analysis of factors influencing choice of paediatric practice for mothers from low-income and minority populations.

Sarah L Goff, Jane L Garb, Haley Guhn-Knight, Aruna Priya, Penelope S Pekow, Peter K Lindenauer

Open access · greenAbstract read
In one paragraph

Article in Journal of paediatrics and child health, 2019. 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, top 74% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Sarah L GoffDepartment of Medicine, General Internal Medicine, Institute for Healthcare Delivery and Population Science, University of Massachusetts Medical School, Springfield, Massachusetts, United States.ORCID https://orcid.org/0000-0003-2005-1369
Jane L GarbOffice of Research, Epidemiology and Biostatistics Core, University of Massachusetts Medical School, Springfield, Massachusetts, United States.
Haley Guhn-KnightDepartment of Medicine, General Internal Medicine, Institute for Healthcare Delivery and Population Science, University of Massachusetts Medical School, Springfield, Massachusetts, United States.
Aruna PriyaDepartment of Medicine, General Internal Medicine, Institute for Healthcare Delivery and Population Science, University of Massachusetts Medical School, Springfield, Massachusetts, United States.
Penelope S PekowDepartment of Medicine, General Internal Medicine, Institute for Healthcare Delivery and Population Science, University of Massachusetts Medical School, Springfield, Massachusetts, United States.
Peter K LindenauerDepartment of Medicine, General Internal Medicine, Institute for Healthcare Delivery and Population Science, University of Massachusetts Medical School, Springfield, Massachusetts, United States.
University of Massachusetts Chan Medical School · US

Funding

Evaluating the impact of patient-centric home health quality reportsR21HS021879 · AHRQ · HEALTHCENTRIC ADVISORS · PI BAIER, ROSA · 2012 to 2014
$836k
Research and Mentoring in Comparative Effectiveness and Implementation ScienceK24HL132008 · NHLBI · BAYSTATE MEDICAL CENTER, INC. · PI LINDENAUER, PETER KYLE · 2016 to 2020
$574k
Identifying Factors Associated With High Quality Pediatric Primary CareK23HD080870 · NICHD · BAYSTATE MEDICAL CENTER, INC. · PI GOFF, SARAH L · 2015 to 2018
$534k
Agency for Health Care Research and Quality R21 HS021879AHRQ HHS 5R21HS021879AHRQ HHS R21 HS021879National Heart, Lung, and Blood Institute K24 HL132008National Heart, Lung, and Blood Institute K24HL132008National Institute of Child Health & Human Development K23 HD080870NHLBI NIH HHS K24 HL132008NICHD NIH HHS K23 HD080870NIH Career Development Award NICHD K23HD080870University of Massachusetts Medical School - Baystate
6 · The paper itself

Abstract

aimPublicly reported quality data theoretically enable parents to choose higher-performing paediatric practices. However, little is known about how parents decide where to seek paediatric care. We explored the relationship between geographic factors, care quality and choice of practice to see if the decision-making process could be described in terms of a 'gravity model' of spatial data.

methodsIn the context of a randomised controlled trial, we used a geographic information system to calculate flow volume between practice locations and participants' homes, to locate subjects within a census tract, to determine distances between points and to perform exploratory mapping. Generalised linear modelling was then used to determine whether the data fit a gravity model, which is a spatial model that evaluates factors impacting travel from one set of locations to another.

resultsA total of 662 women and 52 paediatric practices were included in the analysis. Proximity of a practice to home was the most important factor in choosing a practice (Z = -15.01, P < 0.001). Practice size was important to a lesser extent, with larger practices more likely to be chosen (Z = 8.96, P < 0.001). A practice's performance on quality measures was associated with choice only for women who had received an intervention to increase use of quality data (Z = 2.51, P < 0.05).

conclusionsThe gravity model and the concept of flow can help explain the choice of paediatric practice in a predominantly low-income, racially ethnic minority (non-White) urban population. This has important ramifications for the potential impact of publicly reported quality data.

Indexed as

Choice BehaviorMinority GroupsPediatricsPovertyProfessional Practice LocationAdultHumansModels, TheoreticalQuality of Health CareSpatial AnalysisSurveys and QuestionnairesYoung Adultdisparitiesflow analysisgravity modelpaediatricquality of carespatial analysis

Identifiers

PMID30548139
PMCPMC6555692
OpenAlexW2904145483

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.