Association of Health Plansʼ Healthcare Effectiveness Data and Information Set (HEDIS) Performance With Outcomes of Enrollees With Diabetes

Medical Care ◽  
2010 ◽  
Vol 48 (3) ◽  
pp. 217-223 ◽  
Author(s):  
Jeffrey S. Harman ◽  
Sarah Hudson Scholle ◽  
Judy H. Ng ◽  
L Gregory Pawlson ◽  
Russell E. Mardon ◽  
...  
Keyword(s):  
Information Set ◽  
Effectiveness Data

scholarly journals Predictors of Healthcare Effectiveness Data and Information Set (HEDIS) treatment initiation and engagement among patients with opioid use disorder across 7 health systems

2019 ◽  
Vol 40 (3) ◽  
pp. 328-334 ◽  
Author(s):  
Cynthia I. Campbell ◽  
Constance Weisner ◽  
Ingrid A. Binswanger ◽  
Gwen T. Lapham ◽  
Brian K. Ahmedani ◽  
...  
Keyword(s):  
Health Systems ◽  
Treatment Initiation ◽  
Opioid Use Disorder ◽  
Opioid Use ◽  
Information Set ◽  
Effectiveness Data

Corrigendum to: Significant difference in HEDIS annual chlamydia testing rates between women who had given birth and those who had not among young Medicaid women

Sexual Health ◽  
2018 ◽  
Vol 15 (4) ◽  
pp. 379
Author(s):  
Guoyu Tao ◽  
Kwame Owusu-Edusei ◽  
Eleanor Friedman ◽  
Maria Aslam ◽  
Abigail H. Viall ◽  
...  
Keyword(s):  
Sexually Active ◽  
Not Given ◽  
Chlamydia Testing ◽  
Testing Rate ◽  
Significant Difference ◽  
Information Set ◽  
Effectiveness Data

We used the 2013 Medicaid Analytic eXtract (MAX) database to estimate chlamydia testing rates separately for sexually active women aged 15–25 years who had, or had not, given birth in 2013. Approximately 9.2% of sexually active women aged 15–25 years gave birth in 2013. The Healthcare Effectiveness Data Information Set (HEDIS) annual chlamydia testing rate was significantly higher among women who had given birth than women who had not in 2013 (59.7 vs 29.4%, P

scholarly journals Factors associated with Healthcare Effectiveness Data and Information Set (HEDIS) alcohol and other drug measure performance in 2014–2015

2019 ◽  
Vol 40 (3) ◽  
pp. 318-327 ◽  
Author(s):  
Constance Weisner ◽  
Cynthia I. Campbell ◽  
Andrea Altschuler ◽  
Bobbi Jo H. Yarborough ◽  
Gwen T. Lapham ◽  
...  
Keyword(s):  
Factors Associated ◽  
Information Set ◽  
Effectiveness Data

scholarly journals The prevalence of Healthcare Effectiveness Data and Information Set (HEDIS) initiation and engagement in treatment among patients with cannabis use disorders in 7 US health systems

2019 ◽  
Vol 40 (3) ◽  
pp. 268-277
Author(s):  
Gwen T. Lapham ◽  
Cynthia I. Campbell ◽  
Bobbi Jo H. Yarborough ◽  
Rulin C. Hechter ◽  
Brian K. Ahmedani ◽  
...  
Keyword(s):  
Health Systems ◽  
Cannabis Use ◽  
Information Set ◽  
Cannabis Use Disorders ◽  
Engagement In Treatment ◽  
Effectiveness Data

scholarly journals PHP51 DOES IMPROVING QUALITY OF CARE SAVE MONEY? ANALYSIS OF HEALTH CARE EFFECTIVENESS DATA AND INFORMATION SET (HEDIS) MEASURES

2009 ◽  
Vol 12 (3) ◽  
pp. A88
Author(s):  
MS Broder ◽  
C Ory ◽  
I Yermilov ◽  
C Ko ◽  
MA Maggard ◽  
...  
Keyword(s):  
Health Care ◽  
Quality Of Care ◽  
Information Set ◽  
Effectiveness Data

Association of the Healthcare Effectiveness Data and Information Set (HEDIS) Follow-Up Care Measures and Medication Adherence Among Medicaid Insured Children with ADHD

2021 ◽  
pp. 108705472098692
Author(s):  
Jagadeswara Rao Earla ◽  
Susan Abughosh ◽  
Hua Chen
Keyword(s):  
Medication Adherence ◽  
Adhd Medication ◽  
Chi Square ◽  
Proportion Of Days Covered ◽  
Follow Up Care ◽  
M Phase ◽  
Information Set ◽  
Chi Square Test ◽  
Effectiveness Data

Objectives: To assess the association of HEDIS C&M phase follow-up measure with ADHD medication adherence. Methods: A retrospective study was conducted using Medicaid data (2014–2016) of children initiated with ADHD medication. Patients were categorized as meeting the C&M follow-up measure or not according to the HEDIS specifications. Medication adherence was measured using both Proportion of Days Covered (PDC) & Group-Based Trajectory Modeling (GBTM). The association of medication adherence with HEDIS measure was assessed using Chi-square test. Results: Nearly all (97%) children with PDC≥0.7 and 72% of patients following the late decliner adherence trajectory met the HEDIS C&M follow-up criteria. In contrast, none of the children with PDC<0.7 and only two following rapid and slow decliner trajectories met the criteria. Conclusion: ADHD medication adherence, regardless of how it was measured, clearly differentiated children with and without C&M phase follow-up, which essentially questions the implication of HEDIS C&M phase follow-up care measure.

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