Evidence map›Paper›PMID 19208091›Full record

ArticleHealth services research2009

Managed care quality of care and plan choice in New York SCHIP.

Hangsheng Liu, Charles E Phelps, Peter J Veazie, Andrew W Dick, Jonathan D Klein, Laura P Shone, Katia Noyes, Peter G Szilagyi

Abstract read
In one paragraph

Article in Health services research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Switching health insurers: the role of price, quality and consumer information search.The European journal of health economics : HEPAC : health economics in prevention and care · 2016
    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

8 authors.

Hangsheng LiuThe RAND Corporation, Pittsburgh, PA 15213, USA. hangsheng_liu@rand.org
Charles E Phelps
Peter J Veazie
Andrew W Dick
Jonathan D Klein
Laura P Shone
Katia Noyes
Peter G Szilagyi

Funding

NEW YORK'S SCHIP: WHAT WORKS FOR VULNERABLE CHILDRENU01HS010450 · AHRQ · UNIVERSITY OF ROCHESTER · PI SZILAGYI, PETER G · 1999 to 2002
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AHRQ HHS HS10450AHRQ HHS U01 HS010450
6 · The paper itself

Abstract

objectiveTo examine whether low-income parents of children enrolled in the New York State Children's Health Insurance Program (SCHIP) choose managed care plans with better quality of care. DATA SOURCES: 2001 New York SCHIP evaluation data; 2001 New York State Managed Care Plan Performance Report; 2000 New York State Managed Care Enrollment Report. STUDY

designEach market was defined as a county. A final sample of 2,325 new enrollees was analyzed after excluding those in markets with only one SCHIP plan. Plan quality was measured using seven Consumer Assessment of Health Plans Survey (CAHPS) and three Health Plan Employer Data and Information Set (HEDIS) scores. A conditional logit model was applied with plan and individual/family characteristics as covariates. PRINCIPLE

findingsThere were 30 plans in the 45 defined markets. The choice probability increased 2.5 percentage points for each unit increase in the average CAHPS score, and the association was significantly larger in children with special health care needs. However, HEDIS did not show any statistically significant association with plan choice.

conclusionsLow-income parents do choose managed care plans with higher CAHPS scores for their newly enrolled children, suggesting that overall quality could improve over time because of the dynamics of enrollment.

Indexed as

Choice BehaviorAdolescentAttitude to HealthChildChild Health ServicesChild, PreschoolFemaleHealth Care SurveysHumansInsurance, HealthLogistic ModelsMaleManaged Care ProgramsMarketing of Health ServicesMultivariate AnalysisNew York

Identifiers

PMID19208091
PMCPMC2699911

What OpenQuestion holds

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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.