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NTU 620 HEPI Lab
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Team Members
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AI and Machine learning
Physical-mental multimorbidity
Economics of Multimorbidity
Chronic condition in Singapore
Cost effectiveness analysis of intervention
Pay-for-performance
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Health Workforce Planning Model
Quality of care in India
Other Research Projects
Minority health
Reproductive, Maternal, and Child health
Physical Activitiyes
Out-of-pocket expenditure for medicine
Disability and Multimorbidity
Innovative Health Financing
Health system performance evaluation
Multimorbidity and comorbidity
Indonesia Health system reform and JKN
User fee and patient cost sharing
Economic recession and health
Economics of Tobacco
Cancer screening
Media Coverage
Educational Program
NTU 620 HEPI Lab
Home
Team Members
Research Grant
Publications
Research Projects
AI and Machine learning
Physical-mental multimorbidity
Economics of Multimorbidity
Chronic condition in Singapore
Cost effectiveness analysis of intervention
Pay-for-performance
NHS Health checks
Health Workforce Planning Model
Quality of care in India
Other Research Projects
Minority health
Reproductive, Maternal, and Child health
Physical Activitiyes
Out-of-pocket expenditure for medicine
Disability and Multimorbidity
Innovative Health Financing
Health system performance evaluation
Multimorbidity and comorbidity
Indonesia Health system reform and JKN
User fee and patient cost sharing
Economic recession and health
Economics of Tobacco
Cancer screening
Media Coverage
Educational Program
More
Home
Team Members
Research Grant
Publications
Research Projects
AI and Machine learning
Physical-mental multimorbidity
Economics of Multimorbidity
Chronic condition in Singapore
Cost effectiveness analysis of intervention
Pay-for-performance
NHS Health checks
Health Workforce Planning Model
Quality of care in India
Other Research Projects
Minority health
Reproductive, Maternal, and Child health
Physical Activitiyes
Out-of-pocket expenditure for medicine
Disability and Multimorbidity
Innovative Health Financing
Health system performance evaluation
Multimorbidity and comorbidity
Indonesia Health system reform and JKN
User fee and patient cost sharing
Economic recession and health
Economics of Tobacco
Cancer screening
Media Coverage
Educational Program
Pay-for-performance
The Effects of Pay for Performance on Disparities in Stroke, Hypertension, and Coronary Heart Disease Management: Interrupted Time Series Study
Background The Quality and Outcomes Framework (QOF), a major pay-for-performance programme, was introduced into United Kingdom primary care in April 2004. The impact of this programme on disparities in health care remains unclear. This study examines the following questions: has this pay for performance programme improved the quality of care for coronary heart disease, stroke and hypertension in white, black and south Asian patients? Has this programme reduced disparities in the quality of care between these ethnic groups? Did general practices with different baseline performance respond differently to this programme? Methodology/Principal Findings Retrospective cohort study of patients registered with family practices in Wandsworth, London during 2007. Segmented regression analysis of interrupted time series was used to take into account the previous time trend. Primary outcome measures were mean systolic and diastolic blood pressure, and cholesterol levels. Our findings suggest that the implementation of QOF resulted in significant short term improvements in blood pressure control. The magnitude of benefit varied between ethnic groups with a statistically significant short term reduction in systolic BP in white and black but not in south Asian patients with hypertension. Disparities in risk factor control were attenuated only on few measures and largely remained intact at the end of the study period. Conclusions/Significance Pay for performance programmes such as the QOF in the UK should set challenging but achievable targets. Specific targets aimed at reducing ethnic disparities in health care may also be needed.
Impact of Pay for Performance on Prescribing of Long-Acting Reversible Contraception in Primary Care: An Interrupted Time Series Study
Background The aim of this study was to evaluate the impact of Quality and Outcomes Framework (QOF), a major pay-for-performance programme in the United Kingdom, on prescribing of long-acting reversible contraceptives (LARC) in primary care. Methods Negative binomial interrupted time series analysis using practice level prescribing data from April 2007 to March 2012. The main outcome measure was the prescribing rate of long-acting reversible contraceptives (LARC), including hormonal and non hormonal intrauterine devices and systems (IUDs and IUSs), injectable contraceptives and hormonal implants. Results Prescribing rates of Long-Acting Reversible Contraception (LARC) were stable before the introduction of contraceptive targets to the QOF and increased afterwards by 4% annually (rate ratios = 1.04, 95% CI = 1.03, 1.06). The increase in LARC prescribing was mainly driven by increases in injectables (increased by 6% annually), which was the most commonly prescribed LARC method. Of other types of LARC, the QOF indicator was associated with a step increase of 20% in implant prescribing (RR = 1.20, 95% CI = 1.09, 1.32). This change is equivalent to an additional 110 thousand women being prescribed with LARC had QOF points not been introduced. Conclusions Pay for performance incentives for contraceptive counselling in primary care with women seeking contraceptive advice has increased uptake of LARC methods.
Effect of a UK Pay-for-Performance Program on Ethnic Disparities in Diabetes Outcomes: Interrupted Time Series Analysis
PURPOSE We wanted to examine the long-term effects of the Quality and Outcomes Framework (QOF), a major pay-for-performance program in the United Kingdom, on ethnic disparities in diabetes outcomes. METHODS We undertook an interrupted time series analysis of electronic medical record data of diabetes patients registered with 29 family practices in South West London, United Kingdom. Main outcome measures were mean hemoglobin A1c (HbA1c), total cholesterol, and blood pressure. RESULTS The introduction of QOF was associated with initial accelerated improvements in systolic blood pressure in white and black patients, but these improvements were sustained only in black patients (annual decrease: −1.68 mm Hg; 95% CI, −2.41 to −0.95 mm Hg). Initial improvements in diastolic blood pressure in white patients (−1.01 mm Hg; 95% CI, −1.79 to −0.24 mm Hg) and in cholesterol in white (−0.13 mmol/L; 95% CI, −0.21 to −0.05 mmol/L) and black (−0.10 mmol/L; 95% CI, −0.20 to −0.01 mmol/L) patients were not sustained in the post-QOF period. There was no beneficial impact of QOF on HbA1c in any ethnic group. Existing disparities in risk factor control remained largely intact (for example; mean HbA1c: white 7.5%, black 7.8%, south Asian 7.8%; P <.05) at the end of the study period. CONCLUSION A universal pay-for-performance scheme did not appear to address important disparities in chronic disease management over time. Targeted quality improvement strategies may be required to improve health care in vulnerable populations.
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