Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: Rates of attainment of high-quality diabetes care have been shown to be lower for those living in more disadvantaged and rural areas. Diabetes management relies on access to care and is impacted by physical, social, and economic factors. Area deprivation index (ADI) is one way to quantify geographic disparities in aggregate. We aimed to investigate how ADI impacts outcomes in members with type 2 diabetes enrolled in a large, regional health plan.
Objective: To evalute clinical and economic objectives. Clinical objectives included the percentage of members who achieved hemoglobin A1c (A1c) goal level of 7% or less, the percentage of members who received comorbidity-focused therapies, noninsulin diabetes medication adherence, and the frequency and type of health care services used. Economic outcomes included per member per month differences in total cost of care, pharmacy cost, medical cost, and diabetes-associated cost.
Methods: This retrospective review of pharmacy and medical claims included 8,814 adult members with newly diagnosed type 2 diabetes enrolled in an integrated health plan during calendar year 2021. To be included, members were required to be at least 18 years of age, reside in Pennsylvania, and have continuous enrollment for 2 years prior to type 2 diabetes diagnosis. State-level ADI data were derived for each member and applied to the Census block group on file in the administrative claims data. The study population deciles were grouped into ADI quintiles for analysis. Multivariable regression models and descriptive statistics were used to evaluate the association between ADI and outcomes while controlling for confounding variables.
Results: There were no statistically significant differences between any ADI quintile for achievement of A1c goal or receipt of comorbidity-focused therapy. Significant differences were identified between ADI quintiles 1 (least deprived) and 5 (most deprived) for obtainment of at least 1 A1c test during calendar year 2021 (72% vs 56%, < 0.01) and adherence to noninsulin diabetes medications (70% vs 62%, < 0.01). Significant differences were also identified for all-cause inpatient, outpatient, and unplanned health care service utilization. The difference in per member per month all-cause total cost of care was on average $363.50 less for those living in ADI quintile 1 vs those in quintile 5 ( < 0.01).
Conclusions: Significant differences were identified between ADI quintiles 1 and 5 for noninsulin diabetes medication adherence, frequency of A1c test claims, all-cause health care service utilization, and total cost of care. There were no statistically significant differences between ADI quintiles for achievement of A1c goal or receipt of comorbidity-focused therapies.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11607216 | PMC |
http://dx.doi.org/10.18553/jmcp.2024.30.12.1375 | DOI Listing |
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