PMID- 35769542
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230916
IS  - 2641-7804 (Electronic)
IS  - 2641-7804 (Linking)
VI  - 1
IP  - 1
DP  - 2019
TI  - Identifying Priority and "Bright-Spot" Counties for Diabetes Preventive Care in 
      Appalachia: An Exploratory Analysis.
PG  - 27-33
LID - 10.13023/jah.0101.04 [doi]
AB  - INTRODUCTION: Type 2 diabetes mellitus (T2DM) prevalence and mortality in 
      Appalachian counties is substantially higher when compared to non-Appalachian 
      counties, although there is significant variation within Appalachia. PURPOSE: The 
      objectives of this research were to identify low-performing (priority) and 
      high-performing (bright spot) counties with respect to improving T2DM preventive 
      care. METHODS: Using data from the Centers for Medicare and Medicaid (CMS), the 
      Dartmouth Atlas of Health Care, and the Appalachia Regional Commission, 
      conditional maps were created using county-level estimates for T2DM prevalence, 
      mortality, and annual hemoglobin A1c (HbA1c) testing rates. Priority counties 
      were identified using the following criteria: top 33rd percentile for T2DM 
      mortality; top 33rd percentile for T2DM prevalence; bottom 50th percentile for 
      A1c testing rates. Bright spot counties were identified as counties in the bottom 
      33rd percentile for T2DM mortality, the top 33rd percentile for T2DM prevalence; 
      and the top 50th percentile for HbA1c testing rates. RESULTS: Forty-one priority 
      counties were identified (those with high T2DM mortality, high T2DM prevalence, 
      and low HbA1c testing rates), which were located primarily in Central and North 
      Central Appalachia; and 17 bright spot counties were identified (high T2DM 
      prevalence, low T2DM mortality, and high HbA1c testing rates), which were 
      scattered throughout Appalachia. Eight of the 17 bright spot counties were 
      adjacent to priority counties. IMPLICATIONS: By employing conditional mapping to 
      T2DM, multiple variables can be summarized into a single, easily interpretable 
      map. This could be valuable for T2DM-prevention programs seeking to prioritize 
      diagnostic and intervention resources for the management of T2DM in Appalachia.
CI  - Copyright (c) 2019 Peter J. Mallow, Michael Topmiller, Jennifer Rankin, Jene 
      Grandmont, David Grolling, Jessica L. McCann, and Mark Carrozza.
FAU - Mallow, Peter J
AU  - Mallow PJ
AD  - Xavier University, Health Economics and Clinical Outcomes Research, 
      mallowp@xavier.edu.
FAU - Topmiller, Michael
AU  - Topmiller M
AD  - American Academy of Family Physicians, HealthLandscape, mtopmiller@aafp.org.
FAU - Rankin, Jennifer
AU  - Rankin J
AD  - American Academy of Family Physicians, HealthLandscape, jrankin@aafp.org.
FAU - Grandmont, Jene
AU  - Grandmont J
AD  - American Academy of Family Physicians, HealthLandscape, jgrandmont@aafp.org.
FAU - Grolling, David
AU  - Grolling D
AD  - American Academy of Family Physicians, HealthLandscape, dgrolling@aafp.org.
FAU - McCann, Jessica L
AU  - McCann JL
FAU - Carrozza, Mark
AU  - Carrozza M
LA  - eng
PT  - Journal Article
DEP - 20190430
PL  - United States
TA  - J Appalach Health
JT  - Journal of Appalachian health
JID - 101747123
PMC - PMC9173597
OTO - NOTNLM
OT  - Appalachia
OT  - Type 2 Diabetes Mellitus (T2DM)
OT  - bright spots
OT  - conditional maps
OT  - preventive care
COIS- No competing financial or editorial interests were reported by the authors of 
      this paper.
EDAT- 2019/04/30 00:00
MHDA- 2019/04/30 00:01
PMCR- 2019/04/30
CRDT- 2022/06/30 02:37
PHST- 2022/06/30 02:37 [entrez]
PHST- 2019/04/30 00:00 [pubmed]
PHST- 2019/04/30 00:01 [medline]
PHST- 2019/04/30 00:00 [pmc-release]
AID - jah-1-1-27 [pii]
AID - 10.13023/jah.0101.04 [doi]
PST - epublish
SO  - J Appalach Health. 2019 Apr 30;1(1):27-33. doi: 10.13023/jah.0101.04. eCollection 
      2019.