Equity and efficiency preferences of health policy makers in China - a stated preference analysis

Background Macroeconomic growth in China enables significant progress in health care and public health. It faces difficult choices regarding access, quality and affordability, while dealing with the increasing burden of chronic diseases. Policymakers are pressured to make complex decisions while implementing health strategies. This study shows how this process could be structured and reports the specific equity and efficiency preferences among Chinese policymakers.Methods In total, 78 regional, provincial and national level policymakers with considerable experience participated in a discrete choice experiment, weighting the relative importance of six policy attributes describing equity and efficiency. Results from a conditional logistic model are presented for the six criteria, measuring the associated weights. Observed and unobserved heterogeneities were incorporated and tested in the model. Findings are used to give an example of ranking health interventions in relation to the present disease burden in China.Results In general, respondents showed strong preference for efficiency criteria i.e. total beneficiaries and cost-effectiveness as the most important attributes in decision making over equity criteria. Hence, priority interventions would be those conditions that are most prevalent in the country and cost least per health gain.Conclusion Although efficiency criteria override equity ones, major health threats in China would be targeted. Multicriteria decision analysis makes explicit important trade-offs between efficiency and equity, leading to explicit, transparent and rational policy makin

Determinants of Technical Efficiency in Public Hospitals: The Case of Saudi Arabia

Abstract Objective In this study, we investigate the effect of the external environmental and institutional factors on the efficiency and the performance of the public hospitals affiliated to the Ministry of Health (MOH) in the Kingdom of Saudi Arabia (KSA). We estimate the demographic and socioeconomic characteristics of catchment populations that explain the demand for health services. Methods We apply descriptive analysis to explore what external factors (demographic and socioeconomic factors) can explain the observed differences in technical efficiency scores. We use Spearman’s rank correlation, multivariate Tobit regression and Two-part model to measure the impact of the explanatory variables (i.e. population density, nationality, gender, age groups, economic status, health status, medical interventions and geographic location) on the efficiency scores. Results The analysis shows that the external factors had a significant influence on efficiency scores. We find significant associations between hospitals efficiency scores and number of populations in the catchment area, percentage of children (0–5 years old), the prevalence of infectious diseases, and the number of prescriptions dispensed from hospital’s departments. Also, the scores significantly associate with the number of populations who faced financial hardships during medical treatments, and those received financial support from social administration. That indicates the hospitals that serve more patients in previous characteristics are relatively more technically efficient. Conclusions The environmental and institutional factors have a crucial effect on efficiency and performance in public hospitals. In these regards, we suggested improvement of health policies and planning in respect to hospital efficiency and resource allocation, which consider the different demographic, socioeconomic and health status of the catchment populations (e.g., population density, poverty, health indicators and services utilization). The MOH should pay more attention to ensure appropriate allocation mechanisms of health resources and improve utilization of health services among the target populations, for securing efficient and equitable health services. </jats:sec

Prediction of coronary heart disease risk in a general, pre-diabetic, and diabetic population during 10 years of follow-up: Accuracy of the Framingham, SCORE, and UKPDS risk functions - The Hoorn Study

OBJECTIVE - To test the validity of the Framingham, Systematic Coronary Risk Evaluation (SCORE), and UK Prospective Diabetes Study (UKPDS) risk function in the prediction of risk of coronary heart disease (CHD) in populations with normal glucose tolerance (NGT), intermediate hyperglycemia, and type 2 diabetes. RESEARCH DESIGN AND METHODS - Calibration and discrimination of the three prediction models were tested using prospective data for 1,482 Caucasian men and women, 50-75 years of age, who participated in the Hoorn Study. All analyses were stratified by glucose status. RESULTS - During 10 years of follow-up, a total of 197 CHD events, of which 43 were fatal, were observed in this population, with the highest percentage of first CHD events in the diabetic group. The Framingham and UKPDS prediction models overestimated the risk of first CHD event in all glucose tolerance groups. Overall, the prediction models had a low to moderate discriminatory capacity. The SCORE risk function was the best predictor of fatal CHD events in the group with NGT (area under the receiver operating characteristic curve 0.79 [95% CI 0.70-0.87]), whereas the UKPDS performed better in the intermediate hyperglycemia group (0.84 [0.74-0.94]) in the estimation of fatal CHD risk. After exclusion of known diabetic patients, all prediction models had a higher discriminatory ability in the group with diabetes. CONCLUSIONS - The use of the Framingham function for prediction of the first CHD event is likely to overestimate an individual's absolute CHD risk. In CHD prevention, application of the SCORE and UKPDS functions might be useful in the absence of a more valid tool. © 2009 by the American Diabetes Association

Social and economic impact of diabetics in Bangladesh: protocol for a case-control study

Background: Diabetes affects both individuals and their families and has an impact on economic and social development of a country. Information on the availability, cost, and quality of medical care for diabetes is mostly not available for many low-and middle-income countries including Bangladesh. Complications from diabetes, which can be devastating, could largely be prevented by wider use of several inexpensive generic medicines, simple tests and monitoring and can be a cost saving intervention. This study will provide an in-depth and comprehensive picture of social and economic impacts of diabetes in Bangladesh and propose clear recommendations for improving prevention and management of diabetes. The objectives of the study are: 1) To study the association between diabetes and other health problems and its social impacts 2) To estimate the economic impact of diabetes including total direct and indirect costs 3) To measure the impact of diabetes on quality of life among diabetes patients in Bangladesh 4) To study the impact of diabetes on the health care system Methods: This is a case-control study comparing cases with type 2 diabetes to controls without diabetes matched on age, sex and place of residence. 564 cases and 564 controls will be selected from the outpatient department of a tertiary hospital in Dhaka, Bangladesh. Data on socioeconomic status, health utility index, direct and indirect costs for diabetes, medication adherence, quality of life, treatment satisfaction, diet, physical activity, mental state examination, weight, height, hip and waist circumference, blood pressure, pulse, medication history, laboratory data and physical examination will be conducted. Outcome measures: The primary outcome measures will be association between diabetes and other health problems, cost of diabetes, impact of diabetes on quality of life and secondary outcome measures are impact of diabetes on healthcare systems in Bangladesh. Discussion: This study will provide an in-depth and comprehensive picture of social and economic impacts of diabetics in Bangladesh and propose clear recommendations for improving prevention and management of diabetics. It will help to develop programs and policies for better management of Diabetics and cost effective strategies in Bangladesh context

Mobile phone intervention for increasing adherence to treatment for type 2 diabetes in an urban area of Bangladesh: protocol for a randomized controlled trial

BACKGROUND: Mobile phone technologies including SMS (short message service) have been used to improve the delivery of health services in many countries. However, data on the effects of mobile health technology on patient outcomes in resource-limited settings are limited. The aim of this study therefore is to measure the impact of a mobile phone SMS service on treatment success of newly diagnosed type 2 diabetes in an urban area of Bangladesh. METHODS/DESIGN: This is a single-centred randomized controlled intervention trial (prospective) comparing standard-of-care with standard-of-care plus a mobile phone-based SMS intervention for 6&nbsp;months. A total of 216 participants with newly diagnosed type 2 diabetes will be recruited. Data will be collected at the outpatient department of Bangladesh Institute of Health Science (BIHS) hospital at baseline and after 6&nbsp;months. The primary outcome measure will be change in HbA1c between baseline and 6&nbsp;months. The secondary outcome measures are self-reported medication adherence, clinic attendance, self-reported adoption of healthy behaviours, diabetes knowledge, quality of life and cost effectiveness of the SMS intervention. The inclusion criteria will be as follows: diagnosed as patients with type 2 diabetes by the BIHS physician, using oral medication therapy, living in Dhaka city, registered with the BIHS hospital, using a mobile phone, willing to return for follow up after 6&nbsp;months and providing written informed consent. Participants will be allocated to control and intervention arms after recruitment using a randomization software. Data will be collected on socio-demographic and economic information, mobile phone use and habits, knowledge of prevention, management and complications of diabetes, self-perceived quality of life assessment, self-reported diseases, medical history, family history of diseases, medication history, medication adherence, health seeking behaviour, tobacco use, physical activity, diet, mental health status, life events and disability, anthropometric measurements of weight, height, blood pressure and blood tests for HbA1c. DISCUSSION: Mobile phone SMS services have the potential to communicate with diabetes patients and to build awareness about the disease, improve self-management and avoid complications also in resource-limited setting. If this intervention proves to be efficient and cost-effective in the current trial, large-scale implementation could be undertaken.<br /

Factors influencing the efficiency of public hospitals in Saudi Arabia: a qualitative study exploring stakeholders' perspectives and suggestions for improvement

Objective: Despite an extensive literature on efficiency, qualitative evidence on the drivers of hospital efficiency is scant. This study examined the factors that influence the efficiencies of health service provision in public hospitals in the Kingdom of Saudi Arabia (KSA) and their potential remedies. Design: We employed a qualitative design involving semi-structured interviews conducted between July and September 2019. Participants were purposively selected and included policymakers and hospital managers drawn from districts, regional and national levels. Data were analyzed in Nvivo 12 based on a thematic approach. Setting: Key informants of Ministry of health in the KSA. Results: Respondents identified a range of different factors across the community, facility and the wider health system that influence inefficiencies in public hospitals in KSA. Ineffective hospital management, lack of strategic planning and goals, weak administrative leadership, and absence of monitoring hospital performance was noted to have a profound impact on hospital efficiency. The conditions of healthcare staff in respect to both skills, authority and psychological factors were considered to influence the efficiency level. Further, lack of appropriate data for decision making due to the absence of an appropriate health informatics system was regarded as a factor of inefficiency. At the community level, respondents described inadequate information on the healthcare needs and expectations of patients and the wider community as significant barriers to the provision of efficient services. To improve hospital efficiencies, respondents recommended that service delivery decisions are informed by data on community health needs; capacity strengthening and effective supervision of hospital staff; and judicious resource allocation. Conclusion: The study demonstrates that inefficiencies in health services remain a critical challenge in public hospitals in KSA. Extensive awareness-raising and training on efficient resource utilization among key health systems stakeholders are imperative to improving hospital performance. More research is needed to strengthen knowledge on hospital efficiency in light of the limited data on the topic in KSA and the wider Gulf region

International Lessons in New Methods for Grading and Integrating Cost Effectiveness Evidence into Clinical Practice Guidelines

Economic evidence is influential in health technology assessment world-wide. Clinical Practice Guidelines (CPG) can enable economists to include economic information on health care provision. Application of economic evidence in CPGs, and its integration into clinical practice and national decision making is hampered by objections from professions, paucity of economic evidence or lack of policy commitment. The use of state-of-art economic methodologies will improve this. Economic evidence can be graded by 'checklists' to establish the best evidence for decision making given methodological rigor. New economic evaluation checklists, Multi-Criteria Decision Analyses (MCDA) and other decision criteria enable health economists to impact on decision making world-wide. We analyse the methodologies for integrating economic evidence into CPG agencies globally, including the Agency of Health Research and Quality (AHRQ) in the USA, National Health and Medical Research Council (NHMRC) and Australian political reforms. The Guidelines and Economists Network International (GENI) Board members from Australia, UK, Canada and Denmark presented the findings at the conference of the International Health Economists Association (IHEA) and we report conclusions and developments since. The Consolidated Guidelines for the Reporting of Economic Evaluations (CHEERS) 24 item check list can be used by AHRQ, NHMRC, other CPG and health organisations, in conjunction with the Drummond ten-point check list and a questionnaire that scores that checklist for grading studies, when assessing economic evidence. Cost-effectiveness Analysis (CEA) thresholds, opportunity cost and willingness-to-pay (WTP) are crucial issues for decision rules in CEA generally, including end-of-life therapies. Limitations of inter-rater reliability in checklists can be addressed by including more than one assessor to reach a consensus, especially when impacting on treatment decisions. We identify priority areas to generate economic evidence for CPGs by NHMRC, AHRQ, and other agencies. The evidence may cover demand for care issues such as involved time, logistics, innovation price, price sensitivity, substitutes and complements, WTP, absenteeism and presentism. Supply issues may include economies of scale, efficiency changes, and return on investment. Involved equity and efficiency measures may include cost-of-illness, disease burden, quality-of-life, budget impact, cost-effective ratios, net benefits and disparities in access and outcomes.. Priority setting remains essential and trade-off decisions between policy criteria can be based on MCDA, both in evidence based clinical medicine and in health planning

Diabetes knowledge and glycemic control among patients with type 2 diabetes in Bangladesh

AIMS: To explore the association between knowledge on diabetes and glycemic control among patients with type 2 diabetes in Bangladesh. METHODS: A cross-sectional study was conducted among 515 patients with type 2 diabetes attending a tertiary hospital in Dhaka, Bangladesh. Trained interviewers were used to collect data on socioeconomic status, time since the onset of diabetes, co-morbidities, anthropometric measurements, blood tests, knowledge and perceptions about the causes, management, and complications of diabetes through face to face interviewers based on a structured questionnaire. Diabetes knowledge was reported using a composite score. Chi square tests and correlation analysis were performed to measure the association between knowledge on diabetes and glycemic control. RESULTS: Overall, 45.6% participants had good, 37.7% moderate and 16.7% poor knowledge on diabetes. The mean composite score was 0.75&nbsp;&plusmn;&nbsp;0.28 and the proportion of participants with a score of &le;50% was 16.7%. Only 24.3% participants identified physical inactivity as a risk factor for diabetes. Knowledge on diabetes was significantly associated with education, gender, monthly income, duration of diabetes, body mass index, family history of diabetes, and marital status but not with glycated hemoglobin (HbA1c). Correlation matrix showed weak negative association between diabetes knowledge score and glycemic control (p&nbsp;&lt;&nbsp;0.001). CONCLUSION: Patients with type 2 diabetes in Bangladesh have limited knowledge on the causes, management and risk factors for diabetes, despite receiving professional health education and care in a tertiary diabetic hospital. Strategies to improve the quality of diabetes education and identifying other potential factors for glycemic control are important for ensuring optimum management of diabetes in Bangladesh

Changing lung function and associated health-related quality-of-life: A five-year cohort study of Malawian adults

Background In Sub-Saharan Africa cross-sectional studies report a high prevalence of abnormal lung function indicative of chronic respiratory disease. The natural history and health impact of this abnormal lung function in low-and middle-income countries is largely unknown. Methods A cohort of 1481 adults representative of rural Chikwawa in Malawi were recruited in 2014 and followed-up in 2019. Respiratory symptoms and health-related quality of life (HRQoL) were quantified. Lung function was measured by spirometry. Findings 1232 (83%) adults participated; spirometry was available for 1082 (73%). Mean (SD) age 49.5 (17.0) years, 278(23%) had ever smoked, and 724 (59%) were women. Forced expiratory volume in one second (FEV1) declined by 53.4 ml/year (95% CI: 49.0, 57.8) and forced vital capacity (FVC) by 45.2 ml/year (95% CI: 39.2, 50.5) . Chronic airflow obstruction increased from 9.5% (7.6, 11.6%) in 2014 to 17.5% (15.3, 19.9%) in 2019. There was no change in diagnosed asthma or in spirometry consistent with asthma or restriction. Rate of FEV1 decline was not associated with diagnosed Chronic obstructive pulmonary disease (COPD), asthma, or spirometry consistent with asthma, COPD, or restriction. HRQoL was adversely associated with respiratory symptoms (dyspnoea, wheeze, cough), previous tuberculosis, declining FEV1 and spirometry consistent with asthma or restriction. These differences exceeded the minimally important difference. Interpretation In this cohort, the increasing prevalence of COPD is associated with the high rate of FEV1 decline and lung function deficits present before recruitment. Respiratory symptoms and sub-optimal lung function are independently associated with reduced HRQoL

The Impact of Community-Based Health Insurance on the Utilization of Medically Trained Healthcare Providers among Informal Workers in Bangladesh

We aimed to estimate the impact of a Community-Based Health Insurance (CBHI) scheme on utilization of healthcare from medically trained providers (MTP) by informal workers. A quasi-experimental study was conducted where insured households were included in the intervention group and uninsured households in comparison group. In total 1,292 (646 insured and 646 uninsured) households were surveyed from Chandpur district comprising urban and rural areas after 1 year period of CBHI introduction. Matching of the characteristics of insured and uninsured groups was performed using a propensity score matching approach to minimize the observed baseline differences among the groups. Multilevel logistic regression model, with adjustment for individual and household characteristics was used for estimating association between healthcare utilization from the MTP and insurance enrolment. The utilization of healthcare from MTP was significantly higher in the insured group (50.7%) compared to the uninsured group (39.4%). The regression analysis demonstrated that the CBHI beneficiaries were 2.111 (95% CI: 1.458-3.079) times more likely to utilize healthcare from MTP.CBHI scheme increases the utilization of MTP among informal workers. Ensuring such healthcare for these workers and their dependents is a challenge in many low and middle income countries. The implementation and scale-up of CBHI schemes have the potential to address this challenge of universal health coverage