Literature DB >> 10888688

Effect of method of defining the active patient population on measured immunization rates in predominantly Medicaid and non-Medicaid practices.

A L Morrow1, R C Crews, H J Carretta, M Altaye, A B Finch, J S Sinn.   

Abstract

OBJECTIVE: To examine the effect of patient selection criteria on immunization practice assessment outcomes.
METHODS: In 3 high- (50%-85%) and 7 low- (<25%) Medicaid pediatric practices in urban eastern Virginia, we assessed immunization rates of children 12 and 24 months old comparing the standard criteria (charts in the active files excluding those that documented the child moved or went elsewhere) with 3 alternative criteria for selecting active patients: 1) follow-up: the chart contained a complete immunization record or the patient was found to be active in the practice through follow-up contact by phone or mail; 2) seen in the past year: the chart indicated that the patient was seen in the practice in the past year; 3) consecutive: patients that were seen consecutively for any reason.
RESULTS: Of the 1823 charts assessed in the high- and low-Medicaid practices, follow-up identified 61% and 83% as active patients; 78% and 95% were ever seen in the past year. At 24 months, mean practice immunization rates were lower for standard (70%) than all 3 alternative criteria (78%-86%). Immunization rate differences between standard and alternative criteria were greater in high- (17%-23%) than low-Medicaid practices (5%-13%).
CONCLUSION: The standard for practice assessment should be based on a consistent definition of active patients as the immunization rate denominator.

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Year:  2000        PMID: 10888688

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


  4 in total

1.  Clinical assessment software application (CASA) and immunization coverage rates.

Authors:  John Stevenson; Mehran Massoudi; Shannon Stokley; Igor Bulim
Journal:  Am J Public Health       Date:  2002-03       Impact factor: 9.308

2.  The effect of different definitions of a patient on immunization assessment.

Authors:  M E O'Connor; B Maddocks; C Modie; H Pierce
Journal:  Am J Public Health       Date:  2001-08       Impact factor: 9.308

3.  Accuracy and usefulness of the HEDIS childhood immunization measures.

Authors:  David G Bundy; Barry S Solomon; Julia M Kim; Marlene R Miller
Journal:  Pediatrics       Date:  2012-03-26       Impact factor: 7.124

4.  Using general practice data to monitor influenza vaccination coverage in the medically at risk: a data linkage study.

Authors:  Dauda Badmus; Robert Menzies
Journal:  BMJ Open       Date:  2019-09-17       Impact factor: 2.692

  4 in total

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