Literature DB >> 9481020

Impact of a Medicaid primary care provider and preventive care on pediatric hospitalization.

A Gadomski1, P Jenkins, M Nichols.   

Abstract

OBJECTIVE: This study evaluates the impact that a Medicaid managed care program had on avoidable hospitalization, a form of health care misuse that we hypothesize can be reduced by improved access to and quality of primary care in the context of a managed care program. Ambulatory care sensitive (ACS) hospitalizations, a previously defined categorization of hospitalization, as well as all pediatric hospitalizations were also studied. INTERVENTION: The Maryland Access to Care (MAC) was a fee-for-service, gatekeeper, Medicaid managed care program with assigned primary medical providers and required Early Periodic Screening, Diagnosis, and Treatment (EPSDT) examinations. Medicaid managed care elements include: 1) assignment to primary medical provider (PMP) either by voluntary choice or mandatory enrollment of eligible Aid to Families With Dependent Children (AFDC), Medical Assistance (medical needy), and Supplemental Security Income; 2) a medical home accessible 24 hours a day, 7 days a week; 2) PMP must authorize emergency department (ED), inpatient, and specialty care but there were no disincentives to PMP for referral; 3) fee-for-services reimbursement (with a physician rate increase) for primary care, authorized specialist care, and hospitalization; and 4) an on-line eligibility verification system was available to all medical providers. Pre-enrollment as well as publicity allowed MAC to be phased in rapidly, resulting in 70% to 80% enrollment by the end of the first program year.
DESIGN: The design of this study is that of a pre- and postevaluation of the MAC program using Medicaid claims analysis of data 3 years pre-MAC and 2 years post-MAC. In multivariate analyses, this study also compares MAC-enrolled children to non-MAC-enrolled children (before and after MAC began) to estimate the impact of MAC enrollment while controlling for potential confounders.
SETTING: State of Maryland from 1989 to 1993. PATIENTS: MAC-eligible children 18 years of age. OUTCOME MEASURES: Claims data were used to define avoidable hospitalization (based on ambulatory care received before hospitalization), to define ACS hospitalizations (based on the International Classification of Diseases-Clinical Modification, Ninth Revision [ICD-9-CM] codes), and to summarize use of ambulatory and inpatient care. ACS hospitalizations have been defined as those conditions for which timely and effective primary care can help to reduce the risk of hospitalizations. These are based solely on ICD-9-CM discharge codes that were studied by Billings and Teicholz in 1990 and used by an Institute of Medicine report in 1993. Examples include hospital discharge diagnoses of asthma (ICD-9-CM = 493), gastroenteritis (ICD-9-CM = 558.9), and dehydration (ICD-9-CM = 276.5). Usage measures, such as preventive care visits or ED visits, were created using Maryland Medicaid codes, Current Procedural Terminology codes, and ICD-9-CM codes. Linear regression was used to model trend. Logistic regression was used to model the probability of ambulatory and inpatient care given MAC enrollment and other covariates. First, logistic regression was used to predict the probability of any ambulatory care use among all MAC-eligible children during a quarter to model changes in access that may have occurred during MAC. Then, among users of ambulatory care or inpatient care, logistic regression was used to predict the probability of hospitalization.
RESULTS: Most of the children studied were in the AFDC program, about half were African-American, one third resided in Baltimore City, and 9% of children had ICD-9-CMs reflecting chronic disease. The mean percentage of time children were MAC-eligible per quarter was 91%. Only 5% of children were continuously enrolled for all 20 quarters included in this study. Per-capita ambulatory care visits, especially per-capita preventive care visits, increased significantly during the study period (b = 0.003) whereas per-capita ED visits did not change. The mean n

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Mesh:

Year:  1998        PMID: 9481020     DOI: 10.1542/peds.101.3.e1

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  30 in total

1.  Variability in asthma care and services for low-income populations among practice sites in managed Medicaid systems.

Authors:  Paula Lozano; Lou C Grothaus; Jonathan A Finkelstein; Julia Hecht; Harold J Farber; Tracy A Lieu
Journal:  Health Serv Res       Date:  2003-12       Impact factor: 3.402

2.  [Hospitalizations preventable by timely and effective primary health care].

Authors:  J Caminal Homar; M Morales Espinoza; E Sánchez Ruiz; M J Cubells Larrosa; M Bustins Poblet
Journal:  Aten Primaria       Date:  2003-01       Impact factor: 1.137

3.  Managed care and preventable hospitalization among Medicaid adults.

Authors:  Jayasree Basu; Bernard Friedman; Helen Burstin
Journal:  Health Serv Res       Date:  2004-06       Impact factor: 3.402

Review 4.  Contribution of primary care to health systems and health.

Authors:  Barbara Starfield; Leiyu Shi; James Macinko
Journal:  Milbank Q       Date:  2005       Impact factor: 4.911

5.  Physician visits, hospitalizations, and socioeconomic status: ambulatory care sensitive conditions in a canadian setting.

Authors:  Leslie L Roos; Randy Walld; Julia Uhanova; Ruth Bond
Journal:  Health Serv Res       Date:  2005-08       Impact factor: 3.402

6.  Ruptured appendicitis among children as an indicator of access to care.

Authors:  A Gadomski; P Jenkins
Journal:  Health Serv Res       Date:  2001-04       Impact factor: 3.402

7.  Missed well-child care visits, low continuity of care, and risk of ambulatory care-sensitive hospitalizations in young children.

Authors:  Jeffrey O Tom; Chien-Wen Tseng; James Davis; Cam Solomon; Chuan Zhou; Rita Mangione-Smith
Journal:  Arch Pediatr Adolesc Med       Date:  2010-11

8.  Preventable hospitalizations: does rurality or non-physician clinician supply matter?

Authors:  Preethy Nayar; Anh T Nguyen; Bettye Apenteng; Fang Yu
Journal:  J Community Health       Date:  2012-04

9.  Children's compliance with American Academy of Pediatrics' well-child care visit guidelines and the early detection of autism.

Authors:  Amy M Daniels; David S Mandell
Journal:  J Autism Dev Disord       Date:  2013-12

10.  Increasing short-stay unplanned hospital admissions among children in England; time trends analysis '97-'06.

Authors:  Sonia Saxena; Alex Bottle; Ruth Gilbert; Mike Sharland
Journal:  PLoS One       Date:  2009-10-15       Impact factor: 3.240

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