Universal coverage but unmet need: National and regional estimates of attrition across the diabetes care continuum in Thailand.

BACKGROUND:Diabetes is a growing challenge in Thailand. Data to assess health system response to diabetes is scarce. We assessed what factors influence diabetes care cascade retention, under universal health coverage. METHODS:We conducted a cross-sectional analysis of the 2014 Thai National Health E...

Full description

Bibliographic Details
Main Authors: Lily D Yan, Piya Hanvoravongchai, Wichai Aekplakorn, Suwat Chariyalertsak, Pattapong Kessomboon, Sawitri Assanangkornchai, Surasak Taneepanichskul, Nareemarn Neelapaichit, Andrew C Stokes
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0226286
id doaj-40d78d23422a4582bbfba0e1d94e07c5
record_format Article
spelling doaj-40d78d23422a4582bbfba0e1d94e07c52021-03-03T21:22:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01151e022628610.1371/journal.pone.0226286Universal coverage but unmet need: National and regional estimates of attrition across the diabetes care continuum in Thailand.Lily D YanPiya HanvoravongchaiWichai AekplakornSuwat ChariyalertsakPattapong KessomboonSawitri AssanangkornchaiSurasak TaneepanichskulNareemarn NeelapaichitAndrew C StokesBACKGROUND:Diabetes is a growing challenge in Thailand. Data to assess health system response to diabetes is scarce. We assessed what factors influence diabetes care cascade retention, under universal health coverage. METHODS:We conducted a cross-sectional analysis of the 2014 Thai National Health Examination Survey. Diabetes was defined as fasting plasma glucose ≥126mg/dL or on treatment. National and regional care cascades were constructed across screening, diagnosis, treatment, and control. Unmet need was defined as the total loss across cascade levels. Logistic regression was used to examine the demographic and healthcare factors associated with cascade attrition. FINDINGS:We included 15,663 individuals. Among Thai adults aged 20+ with diabetes, 67.0% (95% CI 60.9% to 73.1%) were screened, 34.0% (95% CI 30.6% to 37.2%) were diagnosed, 33.3% (95% CI 29.9% to 36.7%) were treated, and 26.0% (95% CI 22.9% to 29.1%) were controlled. Total unmet need was 74.0% (95% CI 70.9% to 77.1%), with regional variation ranging from 58.4% (95% CI 45.0% to 71.8%) in South to 78.0% (95% CI 73.0% to 83.0%) in Northeast. Multivariable models indicated older age (OR 1.76), males (OR 0.65), and a higher density of medical staff (OR 2.40) and health centers (OR 1.58) were significantly associated with being diagnosed among people with diabetes. Older age (OR 1.80) and higher geographical density of medical staff (OR 1.82) and health centers (OR 1.56) were significantly associated with being controlled. CONCLUSIONS:Substantial attrition in the diabetes care continuum was observed at diabetes screening and diagnosis, related to both individual and health system factors. Even with universal health insurance, Thailand still needs effective behavioral and structural interventions, especially in primary health care settings, to address unmet need in diabetes care for its population.https://doi.org/10.1371/journal.pone.0226286
collection DOAJ
language English
format Article
sources DOAJ
author Lily D Yan
Piya Hanvoravongchai
Wichai Aekplakorn
Suwat Chariyalertsak
Pattapong Kessomboon
Sawitri Assanangkornchai
Surasak Taneepanichskul
Nareemarn Neelapaichit
Andrew C Stokes
spellingShingle Lily D Yan
Piya Hanvoravongchai
Wichai Aekplakorn
Suwat Chariyalertsak
Pattapong Kessomboon
Sawitri Assanangkornchai
Surasak Taneepanichskul
Nareemarn Neelapaichit
Andrew C Stokes
Universal coverage but unmet need: National and regional estimates of attrition across the diabetes care continuum in Thailand.
PLoS ONE
author_facet Lily D Yan
Piya Hanvoravongchai
Wichai Aekplakorn
Suwat Chariyalertsak
Pattapong Kessomboon
Sawitri Assanangkornchai
Surasak Taneepanichskul
Nareemarn Neelapaichit
Andrew C Stokes
author_sort Lily D Yan
title Universal coverage but unmet need: National and regional estimates of attrition across the diabetes care continuum in Thailand.
title_short Universal coverage but unmet need: National and regional estimates of attrition across the diabetes care continuum in Thailand.
title_full Universal coverage but unmet need: National and regional estimates of attrition across the diabetes care continuum in Thailand.
title_fullStr Universal coverage but unmet need: National and regional estimates of attrition across the diabetes care continuum in Thailand.
title_full_unstemmed Universal coverage but unmet need: National and regional estimates of attrition across the diabetes care continuum in Thailand.
title_sort universal coverage but unmet need: national and regional estimates of attrition across the diabetes care continuum in thailand.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description BACKGROUND:Diabetes is a growing challenge in Thailand. Data to assess health system response to diabetes is scarce. We assessed what factors influence diabetes care cascade retention, under universal health coverage. METHODS:We conducted a cross-sectional analysis of the 2014 Thai National Health Examination Survey. Diabetes was defined as fasting plasma glucose ≥126mg/dL or on treatment. National and regional care cascades were constructed across screening, diagnosis, treatment, and control. Unmet need was defined as the total loss across cascade levels. Logistic regression was used to examine the demographic and healthcare factors associated with cascade attrition. FINDINGS:We included 15,663 individuals. Among Thai adults aged 20+ with diabetes, 67.0% (95% CI 60.9% to 73.1%) were screened, 34.0% (95% CI 30.6% to 37.2%) were diagnosed, 33.3% (95% CI 29.9% to 36.7%) were treated, and 26.0% (95% CI 22.9% to 29.1%) were controlled. Total unmet need was 74.0% (95% CI 70.9% to 77.1%), with regional variation ranging from 58.4% (95% CI 45.0% to 71.8%) in South to 78.0% (95% CI 73.0% to 83.0%) in Northeast. Multivariable models indicated older age (OR 1.76), males (OR 0.65), and a higher density of medical staff (OR 2.40) and health centers (OR 1.58) were significantly associated with being diagnosed among people with diabetes. Older age (OR 1.80) and higher geographical density of medical staff (OR 1.82) and health centers (OR 1.56) were significantly associated with being controlled. CONCLUSIONS:Substantial attrition in the diabetes care continuum was observed at diabetes screening and diagnosis, related to both individual and health system factors. Even with universal health insurance, Thailand still needs effective behavioral and structural interventions, especially in primary health care settings, to address unmet need in diabetes care for its population.
url https://doi.org/10.1371/journal.pone.0226286
work_keys_str_mv AT lilydyan universalcoveragebutunmetneednationalandregionalestimatesofattritionacrossthediabetescarecontinuuminthailand
AT piyahanvoravongchai universalcoveragebutunmetneednationalandregionalestimatesofattritionacrossthediabetescarecontinuuminthailand
AT wichaiaekplakorn universalcoveragebutunmetneednationalandregionalestimatesofattritionacrossthediabetescarecontinuuminthailand
AT suwatchariyalertsak universalcoveragebutunmetneednationalandregionalestimatesofattritionacrossthediabetescarecontinuuminthailand
AT pattapongkessomboon universalcoveragebutunmetneednationalandregionalestimatesofattritionacrossthediabetescarecontinuuminthailand
AT sawitriassanangkornchai universalcoveragebutunmetneednationalandregionalestimatesofattritionacrossthediabetescarecontinuuminthailand
AT surasaktaneepanichskul universalcoveragebutunmetneednationalandregionalestimatesofattritionacrossthediabetescarecontinuuminthailand
AT nareemarnneelapaichit universalcoveragebutunmetneednationalandregionalestimatesofattritionacrossthediabetescarecontinuuminthailand
AT andrewcstokes universalcoveragebutunmetneednationalandregionalestimatesofattritionacrossthediabetescarecontinuuminthailand
_version_ 1714817201285890048