Comparing the effectiveness and cost-effectiveness of alternative type 2 diabetes monitoring intervals in resource limited settings

Abstract Type 2 diabetes (T2D) represents a growing disease burden in South Africa. While glycated haemoglobin (HbA1c) testing is the gold standard for long-term blood glucose management, recommendations for HbA1c monitoring frequency are based on expert opinion. This study investigates the effectiv...

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Published in:Health policy and planning Vol. 39; no. 9; pp. 946 - 955
Main Authors: Mukonda, Elton, Lesosky, Maia, Sithole, Siphesihle, van der Westhuizen, Diederick J, Rusch, Jody A, Levitt, Naomi S, Myers, Bronwyn, Cleary, Susan
Format: Journal Article
Language:English
Published: UK Oxford University Press 01.11.2024
Oxford Publishing Limited (England)
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ISSN:1460-2237, 0268-1080, 1460-2237
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Abstract Abstract Type 2 diabetes (T2D) represents a growing disease burden in South Africa. While glycated haemoglobin (HbA1c) testing is the gold standard for long-term blood glucose management, recommendations for HbA1c monitoring frequency are based on expert opinion. This study investigates the effectiveness and cost-effectiveness of alternative HbA1c monitoring intervals in the management of T2D. A Markov model with three health states (HbA1c <7%, HbA1c ≥ 7%, Dead) was used to estimate lifetime costs and quality-adjusted life years (QALYs) of alternative HbA1c monitoring intervals among patients with T2D, using a provider’s perspective and a 3% discount rate. HbA1c monitoring strategies (three-monthly, four-monthly, six-monthly and annual tests) were evaluated with respect to the incremental cost-effectiveness ratio (ICER) assessing each comparator against a less costly, undominated alternative. The scope of costs included the direct medical costs of managing diabetes. Transition probabilities were obtained from routinely collected public sector HbA1c data, while health service utilization and health-related-quality-of-life (HRQoL) data were obtained from a local cluster randomized controlled trial. Other parameters were obtained from published studies. Robustness of findings was evaluated using one-way and probabilistic sensitivity analyses. A South African indicative cost-effectiveness threshold of USD2665 was adopted. Annual and lifetime costs of managing diabetes increased with HbA1c monitoring, while increased monitoring provides higher QALYs and life years. For the overall cohort, the ICER for six-monthly vs annual monitoring was cost-effective (USD23 22.37 per QALY gained), whereas the ICER of moving from six-monthly to three-monthly monitoring was not cost effective (USD6437.79 per QALY gained). The ICER for four-monthly vs six-monthly monitoring was extended dominated. The sensitivity analysis showed that the ICERs were most sensitive to health service utilization rates. While the factors influencing glycaemic control are multifactorial, six-monthly monitoring is potentially cost-effective while more frequent monitoring could further improve patient HrQoL.
AbstractList Type 2 diabetes (T2D) represents a growing disease burden in South Africa. While glycated haemoglobin (HbA1c) testing is the gold standard for long-term blood glucose management, recommendations for HbA1c monitoring frequency are based on expert opinion. This study investigates the effectiveness and cost-effectiveness of alternative HbA1c monitoring intervals in the management of T2D. A Markov model with three health states (HbA1c <7%, HbA1c ≥ 7%, Dead) was used to estimate lifetime costs and quality-adjusted life years (QALYs) of alternative HbA1c monitoring intervals among patients with T2D, using a provider’s perspective and a 3% discount rate. HbA1c monitoring strategies (three-monthly, four-monthly, six-monthly and annual tests) were evaluated with respect to the incremental cost-effectiveness ratio (ICER) assessing each comparator against a less costly, undominated alternative. The scope of costs included the direct medical costs of managing diabetes. Transition probabilities were obtained from routinely collected public sector HbA1c data, while health service utilization and health-related-quality-of-life (HRQoL) data were obtained from a local cluster randomized controlled trial. Other parameters were obtained from published studies. Robustness of findings was evaluated using one-way and probabilistic sensitivity analyses. A South African indicative cost-effectiveness threshold of USD2665 was adopted. Annual and lifetime costs of managing diabetes increased with HbA1c monitoring, while increased monitoring provides higher QALYs and life years. For the overall cohort, the ICER for six-monthly vs annual monitoring was cost-effective (USD23 22.37 per QALY gained), whereas the ICER of moving from six-monthly to three-monthly monitoring was not cost effective (USD6437.79 per QALY gained). The ICER for four-monthly vs six-monthly monitoring was extended dominated. The sensitivity analysis showed that the ICERs were most sensitive to health service utilization rates. While the factors influencing glycaemic control are multifactorial, six-monthly monitoring is potentially cost-effective while more frequent monitoring could further improve patient HrQoL.
Abstract Type 2 diabetes (T2D) represents a growing disease burden in South Africa. While glycated haemoglobin (HbA1c) testing is the gold standard for long-term blood glucose management, recommendations for HbA1c monitoring frequency are based on expert opinion. This study investigates the effectiveness and cost-effectiveness of alternative HbA1c monitoring intervals in the management of T2D. A Markov model with three health states (HbA1c <7%, HbA1c ≥ 7%, Dead) was used to estimate lifetime costs and quality-adjusted life years (QALYs) of alternative HbA1c monitoring intervals among patients with T2D, using a provider’s perspective and a 3% discount rate. HbA1c monitoring strategies (three-monthly, four-monthly, six-monthly and annual tests) were evaluated with respect to the incremental cost-effectiveness ratio (ICER) assessing each comparator against a less costly, undominated alternative. The scope of costs included the direct medical costs of managing diabetes. Transition probabilities were obtained from routinely collected public sector HbA1c data, while health service utilization and health-related-quality-of-life (HRQoL) data were obtained from a local cluster randomized controlled trial. Other parameters were obtained from published studies. Robustness of findings was evaluated using one-way and probabilistic sensitivity analyses. A South African indicative cost-effectiveness threshold of USD2665 was adopted. Annual and lifetime costs of managing diabetes increased with HbA1c monitoring, while increased monitoring provides higher QALYs and life years. For the overall cohort, the ICER for six-monthly vs annual monitoring was cost-effective (USD23 22.37 per QALY gained), whereas the ICER of moving from six-monthly to three-monthly monitoring was not cost effective (USD6437.79 per QALY gained). The ICER for four-monthly vs six-monthly monitoring was extended dominated. The sensitivity analysis showed that the ICERs were most sensitive to health service utilization rates. While the factors influencing glycaemic control are multifactorial, six-monthly monitoring is potentially cost-effective while more frequent monitoring could further improve patient HrQoL.
Type 2 diabetes (T2D) represents a growing disease burden in South Africa. While glycated haemoglobin (HbA1c) testing is the gold standard for long-term blood glucose management, recommendations for HbA1c monitoring frequency are based on expert opinion. This study investigates the effectiveness and cost-effectiveness of alternative HbA1c monitoring intervals in the management of T2D. A Markov model with three health states (HbA1c <7%, HbA1c ≥ 7%, Dead) was used to estimate lifetime costs and quality-adjusted life years (QALYs) of alternative HbA1c monitoring intervals among patients with T2D, using a provider's perspective and a 3% discount rate. HbA1c monitoring strategies (three-monthly, four-monthly, six-monthly and annual tests) were evaluated with respect to the incremental cost-effectiveness ratio (ICER) assessing each comparator against a less costly, undominated alternative. The scope of costs included the direct medical costs of managing diabetes. Transition probabilities were obtained from routinely collected public sector HbA1c data, while health service utilization and health-related-quality-of-life (HRQoL) data were obtained from a local cluster randomized controlled trial. Other parameters were obtained from published studies. Robustness of findings was evaluated using one-way and probabilistic sensitivity analyses. A South African indicative cost-effectiveness threshold of USD2665 was adopted. Annual and lifetime costs of managing diabetes increased with HbA1c monitoring, while increased monitoring provides higher QALYs and life years. For the overall cohort, the ICER for six-monthly vs annual monitoring was cost-effective (USD23 22.37 per QALY gained), whereas the ICER of moving from six-monthly to three-monthly monitoring was not cost effective (USD6437.79 per QALY gained). The ICER for four-monthly vs six-monthly monitoring was extended dominated. The sensitivity analysis showed that the ICERs were most sensitive to health service utilization rates. While the factors influencing glycaemic control are multifactorial, six-monthly monitoring is potentially cost-effective while more frequent monitoring could further improve patient HrQoL.Type 2 diabetes (T2D) represents a growing disease burden in South Africa. While glycated haemoglobin (HbA1c) testing is the gold standard for long-term blood glucose management, recommendations for HbA1c monitoring frequency are based on expert opinion. This study investigates the effectiveness and cost-effectiveness of alternative HbA1c monitoring intervals in the management of T2D. A Markov model with three health states (HbA1c <7%, HbA1c ≥ 7%, Dead) was used to estimate lifetime costs and quality-adjusted life years (QALYs) of alternative HbA1c monitoring intervals among patients with T2D, using a provider's perspective and a 3% discount rate. HbA1c monitoring strategies (three-monthly, four-monthly, six-monthly and annual tests) were evaluated with respect to the incremental cost-effectiveness ratio (ICER) assessing each comparator against a less costly, undominated alternative. The scope of costs included the direct medical costs of managing diabetes. Transition probabilities were obtained from routinely collected public sector HbA1c data, while health service utilization and health-related-quality-of-life (HRQoL) data were obtained from a local cluster randomized controlled trial. Other parameters were obtained from published studies. Robustness of findings was evaluated using one-way and probabilistic sensitivity analyses. A South African indicative cost-effectiveness threshold of USD2665 was adopted. Annual and lifetime costs of managing diabetes increased with HbA1c monitoring, while increased monitoring provides higher QALYs and life years. For the overall cohort, the ICER for six-monthly vs annual monitoring was cost-effective (USD23 22.37 per QALY gained), whereas the ICER of moving from six-monthly to three-monthly monitoring was not cost effective (USD6437.79 per QALY gained). The ICER for four-monthly vs six-monthly monitoring was extended dominated. The sensitivity analysis showed that the ICERs were most sensitive to health service utilization rates. While the factors influencing glycaemic control are multifactorial, six-monthly monitoring is potentially cost-effective while more frequent monitoring could further improve patient HrQoL.
Author Mukonda, Elton
Rusch, Jody A
van der Westhuizen, Diederick J
Myers, Bronwyn
Lesosky, Maia
Cleary, Susan
Sithole, Siphesihle
Levitt, Naomi S
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Cites_doi 10.1136/bmjopen-2020-045511
10.7189/jogh.11.04055
10.1186/s12913-018-3772-8
10.1186/s12963-016-0110-4
10.1155/2018/6093595
10.3389/fphar.2020.588309
10.2147/DMSO.S126314
10.1016/S0140-6736(20)30977-6
10.1515/cclm-2018-0503
10.1016/S0140-6736(98)07037-8
10.1136/bmjqs-2020-012026
10.1016/j.diabres.2020.108072
10.1038/s41598-023-49322-8
10.1186/s41043-022-00281-2
10.1186/s12872-018-0914-1
10.2165/11531590-000000000-00000
10.2337/dc14-0297
10.1016/j.diabres.2017.11.013
10.1111/j.1464-5491.2011.03412.x
10.1007/s13300-021-00997-0
10.1007/s40273-015-0268-9
10.2337/dc13-2112
10.2147/PPA.S324586
10.1111/dom.12288
10.1186/s12889-022-14730-4
10.1093/heapol/czz152
10.1155/2017/9536025
10.1186/s12913-021-07324-0
10.2105/AJPH.94.3.416
10.1002/hec.3295
10.1007/s40258-020-00618-0
10.1177/1932296816678263
10.1007/978-3-030-47622-9_4
10.3109/07853890109002087
10.1373/clinchem.2010.157586
10.1136/bmj.330.7492.644
10.1016/S0140-6736(22)01641-5
10.1093/fampra/cmaa074
10.1186/s13063-018-2568-9
10.1080/16549716.2019.1636611
10.1056/NEJMoa1800256
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Issue 9
Keywords Type-2 diabetes
cost-effectiveness
low- and middle-income countries
routine monitoring
Language English
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References Hirst (2024101511391040600_R18) 2021; 11
Asante (2024101511391040600_R3) 2020; 18
Masuku (2024101511391040600_R24) 2022; 22
Jackson (2024101511391040600_R21) 2023; 13
Statistics South Africa (2024101511391040600_R48) 2020
Duff (2024101511391040600_R10) 2018; 57
The National Department of Health, South Africa (2024101511391040600_R33) 2020
Rawshani (2024101511391040600_R43) 2018; 379
Grundlingh (2024101511391040600_R17) 2022; 41
Mukonda (2024101511391040600_R27) 2021; 11
Pastakia (2024101511391040600_R40) 2017; 10
The society for endocrinology, metabolism and diabetes of South Africa Type 2 Diabetes Guidelines Expert Committee (2024101511391040600_R51) 2017; 21
Erzse (2024101511391040600_R13) 2019; 12
Pinchevsky (2024101511391040600_R41) 2017; 2017
Statistics South Africa (2024101511391040600_R49) 2020
GBD 2019 Demographics Collaborators (2024101511391040600_R15) 2020; 396
Aschner (2024101511391040600_R4) 2021; 12
National Health Laboratory Service (2024101511391040600_R35)
Ohde (2024101511391040600_R37) 2018; 135
International Diabetes Federation (2024101511391040600_R20) 2021
Elwenspoek (2024101511391040600_R12) 2020; 37
UK Prospective Diabetes Study (UKPDS) Group (2024101511391040600_R52) 1998; 352
Donner (2024101511391040600_R8) 2004; 94
The National Department of Health, South Africa (2024101511391040600_R34) 2022
Tarride (2024101511391040600_R50) 2010; 28
Rosenquist (2024101511391040600_R45) 2018
Navarro-Pérez (2024101511391040600_R36) 2018; 18
Park (2024101511391040600_R39) 2018; 2018
Dall (2024101511391040600_R6) 2016; 14
The National Department of Health, South Africa (2024101511391040600_R31) 2013
McCoy (2024101511391040600_R25) 2015; 351
Afroz (2024101511391040600_R1) 2018; 18
Edoka (2024101511391040600_R11) 2020; 35
Cunnama (2024101511391040600_R5) 2016; 25
Myers (2024101511391040600_R29) 2018; 19
Kalayou Haftu (2024101511391040600_R22) 2022; 16
Rosa (2024101511391040600_R44) 2021; 11
Wermeling (2024101511391040600_R53) 2014; 16
Rabin (2024101511391040600_R42) 2001; 33
Devlin (2024101511391040600_R7) 2020
Mukonda (2024101511391040600_R26) 2021; 21
Fu (2024101511391040600_R14) 2012; 35
Massyn (2024101511391040600_R23) 2020
Driskell (2024101511391040600_R9) 2014; 37
Schnell (2024101511391040600_R46) 2017; 11
Glasziou (2024101511391040600_R16) 2005; 330
Williams (2024101511391040600_R54) 2020; 162
Imai (2024101511391040600_R19) 2021; 30
Oke (2024101511391040600_R38) 2012; 29
Seuring (2024101511391040600_R47) 2015; 33
Myers (2024101511391040600_R28) 2022; 400
Al-Ansary (2024101511391040600_R2) 2011; 57
Nathan (2024101511391040600_R30) 2014; 37
The National Department of Health, South Africa (2024101511391040600_R32) 2020
References_xml – volume: 11
  year: 2021
  ident: 2024101511391040600_R18
  article-title: Point-of-care HbA 1c testing in an urban primary care diabetes clinic in South Africa: a mixed methods feasibility study
  publication-title: BMJ Open
  doi: 10.1136/bmjopen-2020-045511
– volume: 11
  year: 2021
  ident: 2024101511391040600_R27
  article-title: A comparative analysis and review of how national guidelines for chronic disease monitoring are made in low- and middle-income compared to high-income countries
  publication-title: Journal of Global Health
  doi: 10.7189/jogh.11.04055
– year: 2020
  ident: 2024101511391040600_R49
  article-title: Financial Statistics of Provincial Government 2019/2020
– volume: 18
  year: 2018
  ident: 2024101511391040600_R1
  article-title: Cost-of-illness of type 2 diabetes mellitus in low and lower-middle-income countries: a systematic review
  publication-title: BMC Health Services Research
  doi: 10.1186/s12913-018-3772-8
– volume: 14
  year: 2016
  ident: 2024101511391040600_R6
  article-title: Type 2 diabetes detection and management among insured adults
  publication-title: Population Health Metrics.
  doi: 10.1186/s12963-016-0110-4
– volume: 2018
  year: 2018
  ident: 2024101511391040600_R39
  article-title: Access to hemoglobin A1c in rural Africa: a difficult reality with severe consequences
  publication-title: Journal of Diabetes Research
  doi: 10.1155/2018/6093595
– volume: 11
  year: 2021
  ident: 2024101511391040600_R44
  article-title: Cost-effectiveness of point-of-care A1C tests in a primary care setting
  publication-title: Frontiers in Pharmacology
  doi: 10.3389/fphar.2020.588309
– volume: 10
  start-page: 247
  year: 2017
  ident: 2024101511391040600_R40
  article-title: Diabetes in sub-Saharan Africa – from policy to practice to progress: targeting the existing gaps for future care for diabetes
  publication-title: Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
  doi: 10.2147/DMSO.S126314
– volume: 396
  start-page: 1160
  year: 2020
  ident: 2024101511391040600_R15
  article-title: Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019
  publication-title: Lancet
  doi: 10.1016/S0140-6736(20)30977-6
– volume: 57
  start-page: 296
  year: 2018
  ident: 2024101511391040600_R10
  article-title: The frequency of testing for glycated haemoglobin, HbA 1c, is linked to the probability of achieving target levels in patients with suboptimally controlled diabetes mellitus
  publication-title: Clinical Chemistry and Laboratory Medicine (CCLM)
  doi: 10.1515/cclm-2018-0503
– volume-title: Essential Drugs Programme. Primary Healthcare Standard Treatment Guideline and Essential Medicine List
  year: 2020
  ident: 2024101511391040600_R32
– volume: 352
  start-page: 854
  year: 1998
  ident: 2024101511391040600_R52
  article-title: Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34)
  publication-title: The Lancet
  doi: 10.1016/S0140-6736(98)07037-8
– volume: 30
  start-page: 706
  year: 2021
  ident: 2024101511391040600_R19
  article-title: Adherence to guideline-recommended HbA1c testing frequency and better outcomes in patients with type 2 diabetes: a 5-year retrospective cohort study in Australian general practice
  publication-title: BMJ Quality & Safety
  doi: 10.1136/bmjqs-2020-012026
– volume: 162
  year: 2020
  ident: 2024101511391040600_R54
  article-title: Global and regional estimates and projections of diabetes-related health expenditure: results from the International Diabetes Federation Diabetes Atlas, 9th edition
  publication-title: Diabetes Research and Clinical Practice
  doi: 10.1016/j.diabres.2020.108072
– volume-title: Government Gazette
  year: 2013
  ident: 2024101511391040600_R31
  article-title: Guidelines for Pharmacoeconomic Submissions 2012
– volume: 21
  start-page: S1
  year: 2017
  ident: 2024101511391040600_R51
  article-title: The 2017 SEMDSA Guideline for the Management of Type 2 Diabetes
  publication-title: JEMDSA
– year: 2022
  ident: 2024101511391040600_R34
  article-title: South African Medicine Price Registry. Database of Medicine Prices August 2022
– volume: 13
  year: 2023
  ident: 2024101511391040600_R21
  article-title: Assessing health-related quality of life of people with diabetes in Nigeria using the EQ-5D-5L: a cross-sectional study
  publication-title: Scientific Reports
  doi: 10.1038/s41598-023-49322-8
– volume-title: Diabetes in America
  year: 2018
  ident: 2024101511391040600_R45
– volume: 41
  year: 2022
  ident: 2024101511391040600_R17
  article-title: Assessment of prevalence and risk factors of diabetes and pre-diabetes in South Africa
  publication-title: Journal of Health, Population and Nutrition
  doi: 10.1186/s41043-022-00281-2
– ident: 2024101511391040600_R35
  article-title: About Us
– volume: 18
  year: 2018
  ident: 2024101511391040600_R36
  article-title: Mortality and cardiovascular disease burden of uncontrolled diabetes in a registry-based cohort: the ESCARVAL-risk study
  publication-title: BMC Cardiovascular Disorders
  doi: 10.1186/s12872-018-0914-1
– volume: 28
  start-page: 255
  year: 2010
  ident: 2024101511391040600_R50
  article-title: A review of methods used in long-term cost-effectiveness models of diabetes mellitus treatment
  publication-title: PharmacoEconomics
  doi: 10.2165/11531590-000000000-00000
– volume: 37
  start-page: 2731
  year: 2014
  ident: 2024101511391040600_R9
  article-title: Reduced testing frequency for glycated hemoglobin, HbA1c, is associated with deteriorating diabetes control
  publication-title: Diabete Care
  doi: 10.2337/dc14-0297
– volume: 135
  start-page: 166
  year: 2018
  ident: 2024101511391040600_R37
  article-title: HbA1c monitoring interval in patients on treatment for stable type 2 diabetes: a ten-year retrospective, open cohort study
  publication-title: Diabetes Research and Clinical Practice
  doi: 10.1016/j.diabres.2017.11.013
– volume: 29
  start-page: 266
  year: 2012
  ident: 2024101511391040600_R38
  article-title: Establishing an evidence base for frequency of monitoring glycated haemoglobin levels in patients with Type 2 diabetes: projections of effectiveness from a regression model
  publication-title: Diabetic Medicine: A Journal of the British Diabetic Association
  doi: 10.1111/j.1464-5491.2011.03412.x
– volume: 12
  start-page: 1491
  year: 2021
  ident: 2024101511391040600_R4
  article-title: Glycemic control and prevention of diabetic complications in low- and middle-income countries: an expert opinion
  publication-title: Diabetes Therapy: Research, Treatment and Education of Diabetes and Related Disorders
  doi: 10.1007/s13300-021-00997-0
– volume: 33
  start-page: 811
  year: 2015
  ident: 2024101511391040600_R47
  article-title: The economic costs of type 2 diabetes: a global systematic review
  publication-title: PharmacoEconomics
  doi: 10.1007/s40273-015-0268-9
– volume: 37
  start-page: 9
  year: 2014
  ident: 2024101511391040600_R30
  article-title: The diabetes control and complications trial/epidemiology of diabetes interventions and complications study at 30 years: overview
  publication-title: Diabete Care
  doi: 10.2337/dc13-2112
– volume: 16
  start-page: 3143
  year: 2022
  ident: 2024101511391040600_R22
  article-title: Health-related quality of life using EQ-5D-3L utility score among type 2 diabetes patients: experiences from Tigray Region, Northern Ethiopia
  publication-title: Patient Preference and Adherence
  doi: 10.2147/PPA.S324586
– volume: 16
  start-page: 841
  year: 2014
  ident: 2024101511391040600_R53
  article-title: Effectiveness and cost-effectiveness of 3-monthly versus 6-monthly monitoring of well-controlled type 2 diabetes patients: a pragmatic randomised controlled patient-preference equivalence trial in primary care (EFFIMODI study)
  publication-title: Diabetes Obesity and Metabolism
  doi: 10.1111/dom.12288
– volume: 22
  year: 2022
  ident: 2024101511391040600_R24
  article-title: The costs of interventions for type 2 diabetes mellitus, hypertension, and cardiovascular disease in South Africa – a systematic literature review
  publication-title: BMC Public Health
  doi: 10.1186/s12889-022-14730-4
– volume-title: Statistical release PO141. 2020
  year: 2020
  ident: 2024101511391040600_R48
  article-title: Consumer Price Index (CPI)
– volume: 35
  start-page: 546
  year: 2020
  ident: 2024101511391040600_R11
  article-title: Estimating a cost-effectiveness threshold for health care decision-making in South Africa
  publication-title: Health Policy & Planning
  doi: 10.1093/heapol/czz152
– volume: 2017
  year: 2017
  ident: 2024101511391040600_R41
  article-title: Treatment gaps found in the management of type 2 diabetes at a community health centre in Johannesburg, South Africa
  publication-title: Journal of Diabetes Research
  doi: 10.1155/2017/9536025
– volume: 21
  year: 2021
  ident: 2024101511391040600_R26
  article-title: A review of simulation models for the long-term management of type 2 diabetes in low- and middle-income countries
  publication-title: BMC Health Services Research
  doi: 10.1186/s12913-021-07324-0
– volume-title: IDF Diabetes Atlas
  year: 2021
  ident: 2024101511391040600_R20
– volume: 35
  start-page: 269
  year: 2012
  ident: 2024101511391040600_R14
  article-title: Frequency of glycated hemoglobin monitoring was inversely associated with glycaemic control of patients with Type 2 diabetes mellitus
  publication-title: Journal of Endocrinological Investigation
– volume: 94
  start-page: 416
  year: 2004
  ident: 2024101511391040600_R8
  article-title: Pitfalls of and controversies in cluster randomization trials
  publication-title: American Journal of Public Health
  doi: 10.2105/AJPH.94.3.416
– volume: 25
  start-page: 53
  year: 2016
  ident: 2024101511391040600_R5
  article-title: Using top-down and bottom-up costing approaches in LMICs: the case for using both to assess the incremental costs of new technologies at scale
  publication-title: Health Economics
  doi: 10.1002/hec.3295
– volume: 18
  start-page: 743
  year: 2020
  ident: 2024101511391040600_R3
  article-title: Health financing in Sub-Saharan Africa: from analytical frameworks to empirical evaluation
  publication-title: Applied Health Economics and Health Policy
  doi: 10.1007/s40258-020-00618-0
– volume: 11
  start-page: 611
  year: 2017
  ident: 2024101511391040600_R46
  article-title: Impact of HbA1c testing at point of care on diabetes management
  publication-title: Journal of Diabetes Science and Technology
  doi: 10.1177/1932296816678263
– year: 2020
  ident: 2024101511391040600_R33
  article-title: Adult Primary Care (APC): Symptom-based Integrated Approach to the Adult in Primary Care 2019/2020
– start-page: 61
  volume-title: Methods for Analysing and Reporting EQ-5D Data
  year: 2020
  ident: 2024101511391040600_R7
  doi: 10.1007/978-3-030-47622-9_4
– volume: 33
  start-page: 337
  year: 2001
  ident: 2024101511391040600_R42
  article-title: EQ-5D: a measure of health status from the EuroQol Group
  publication-title: Annals of Medicine
  doi: 10.3109/07853890109002087
– volume: 57
  start-page: 568
  year: 2011
  ident: 2024101511391040600_R2
  article-title: Point-of-Care Testing for Hb A(1c) in the management of diabetes: a systematic review and metaanalysis
  publication-title: Clinical Chemistry
  doi: 10.1373/clinchem.2010.157586
– volume: 330
  start-page: 644
  year: 2005
  ident: 2024101511391040600_R16
  article-title: Monitoring in chronic disease: a rational approach
  publication-title: British Medical Journal (Clinical Research Ed.)
  doi: 10.1136/bmj.330.7492.644
– volume: 351
  year: 2015
  ident: 2024101511391040600_R25
  article-title: HbA1c overtesting and overtreatment among US adults with controlled type 2 diabetes, 2001-13: observational population-based study
  publication-title: British Medical Journal
– volume: 400
  start-page: 1321
  year: 2022
  ident: 2024101511391040600_R28
  article-title: Comparing dedicated and designated approaches to integrating task-shared psychological interventions into chronic disease care in South Africa: a three-arm, cluster-randomised, multicentre, open-label trial
  publication-title: The Lancet
  doi: 10.1016/S0140-6736(22)01641-5
– volume: 37
  start-page: 845
  year: 2020
  ident: 2024101511391040600_R12
  article-title: What methods are being used to create an evidence base on the use of laboratory tests to monitor long-term conditions in primary care? A scoping review
  publication-title: Family Practice
  doi: 10.1093/fampra/cmaa074
– volume: 19
  year: 2018
  ident: 2024101511391040600_R29
  article-title: Comparing dedicated and designated models of integrating mental health into chronic disease care: study protocol for a cluster randomized controlled trial
  publication-title: Trials
  doi: 10.1186/s13063-018-2568-9
– volume: 12
  year: 2019
  ident: 2024101511391040600_R13
  article-title: The direct medical cost of type 2 diabetes mellitus in South Africa: a cost of illness study
  publication-title: Global Health Action
  doi: 10.1080/16549716.2019.1636611
– volume-title: District Health Barometer 2019/20
  year: 2020
  ident: 2024101511391040600_R23
– volume: 379
  start-page: 633
  year: 2018
  ident: 2024101511391040600_R43
  article-title: Mortality, and cardiovascular outcomes in patients with type 2 diabetes
  publication-title: The New England Journal of Medicine
  doi: 10.1056/NEJMoa1800256
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Snippet Abstract Type 2 diabetes (T2D) represents a growing disease burden in South Africa. While glycated haemoglobin (HbA1c) testing is the gold standard for...
Type 2 diabetes (T2D) represents a growing disease burden in South Africa. While glycated haemoglobin (HbA1c) testing is the gold standard for long-term blood...
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StartPage 946
SubjectTerms Alternative approaches
Alternatives
Clinical trials
Cost analysis
Cost effectiveness
Cost-Benefit Analysis
Costs
Data quality
Diabetes
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - blood
Diabetes Mellitus, Type 2 - therapy
Effectiveness
Female
Glucose
Glycated Hemoglobin - analysis
Glycemic control
Health care expenditures
Health services
Health services utilization
Health status
Hemoglobin
Humans
Intervals
Male
Markov analysis
Markov Chains
Middle Aged
Monitoring
Original
Parameter robustness
Parameter sensitivity
Patients
Probability
Public sector
Quality adjusted life years
Quality of Life
Resource-Limited Settings
Robust control
Robustness
Sensitivity analysis
South Africa
Telemedicine
Transition probabilities
Type 2 diabetes mellitus
Title Comparing the effectiveness and cost-effectiveness of alternative type 2 diabetes monitoring intervals in resource limited settings
URI https://www.ncbi.nlm.nih.gov/pubmed/39096519
https://www.proquest.com/docview/3128023055
https://www.proquest.com/docview/3087698085
https://pubmed.ncbi.nlm.nih.gov/PMC11474914
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