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Objectives To assess the cost-effectiveness of cetuximab in combination with chemotherapy fluorouracil, oxaliplatin, and leucovorin (FOLFOX) or fluorouracil, irinotecan and leucovorin (FOLFIRI) compared to standard chemotherapy alone as a first-line treatment for metastatic colorectal cancer (mCRC) with positive KRAS wild type patients in Indonesia. Methods A cost-utility analysis applying Markov model was constructed, with a societal perspective. Clinical evidence was derived from published clinical trials. Direct medical costs were gathered from hospital billings. Meanwhile, direct non-medical costs, indirect costs, and utility data were collected by directly interviewing patients. We applied 3% discount rate for both costs and outcomes. Probabilistic sensitivity analysis was performed to explore the model's uncertainty. Additionally, using payer perspective, budget impact analysis was estimated to project the financial impact of treatment coverage. Results There was no significant difference in life years gained (LYG) between cetuximab plus FOLFOX/FOLFIRI and chemotherapy alone. The incremental QALY was only one month, and the incremental cost-effectiveness ratio (ICER) was almost approximately IDR 3 billion/QALY for cetuximab plus chemotherapy. Using 1–3 GDP per capita (IDR 140 million) as the current threshold, the cetuximab plus chemotherapy was not cost-effective. The budget impact analysis resulted that if cetuximab plus chemotherapy remain included in the benefits package under the Indonesian national health insurance (NHI) system, the payer would need more than IDR 1 trillion for five years. Conclusions The combination of cetuximab and chemotherapy for mCRC is unlikely cost-effective and has a substantial financial impact on the system.

Health Technology Assessment (HTA) is a multidisciplinary tool to inform healthcare decision-making. HTA has been implemented in high-income countries (HIC) for several decades but has only recently seen a growing investment in low- and middle-income countries. A scoping review was undertaken to define and compare the role of HTA in least developed and lower middle-income countries (LLMIC). MEDLINE and EMBASE databases were searched from January 2015 to August 2021. A matrix comprising categories on HTA objectives, methods, geographies, and partnerships was used for data extraction and synthesis to present our findings. The review identified 50 relevant articles. The matrix was populated and sub-divided into further categories as appropriate. We highlight topical aspects of HTA, including initiatives to overcome well-documented challenges around data and capacity development, and identify gaps in the research for consideration. Those areas we found to be under-studied or under-utilized included disinvestment, early HTA/implementation, system-level interventions, and cross-sectoral partnerships. We consider broad practical implications for decision-makers and researchers aiming to achieve greater interconnectedness between HTA and health systems and generate recommendations that LLMIC can use for HTA implementation. Whilst HIC may have led the way, LLMIC are increasingly beginning to develop HTA processes to assist in their healthcare decision-making. This review provides a forward-looking model that LLMIC can point to as a reference for their own implementation. We hope this can be seen as timely and useful contributions to optimize the impact of HTA in an era of investment and expansion and to encourage debate and implementation.

ObjectivesThe continuing rise of smoking behaviours will inevitably lead to a further increase in hypertension prevalence. However, limited research has examined the impacts of changes in smoking status on blood pressure (BP). We sought to assess correlations between increases or decreases of males’ and females’ cigarette consumption on systolic blood pressure (SBP), diastolic blood pressure (DBP) and pulse pressure (PP), and to investigate the relationship between smoking status changes and changes in BP through a 15-year examination period.DesignRetrospective, cohort study.SettingWe used nationally representative secondary data collected in the years 2000, 2007 and 2015 by the Indonesia Family Life Survey.ParticipantsWe measured the smoking habits, BP indices and other socioeconomic factors documented in the multiple follow-up surveys of a sample of 10 338 respondents.Primary and secondary outcome measuresThe primary outcome was the means of SBP, DBP and PP. The secondary outcome was the changes from baseline in SBP and DBP.ResultsSmoking caused different effects on male and female smokers. Female smokers who increased their daily cigarette consumption had significantly higher SBP and PP (pConclusionsOur study confirmed the adverse effects of smoking on BP, which can be used to inform efforts to tackle the growing cigarette epidemic and its negative effects on hypertension among former and new smokers and develop evidence-based tobacco control policies in Indonesia.

Background This study aims to assess the cost-effectiveness and budget impact of adopting sildenafil to the benefits package for the indication of pulmonary arterial hypertension (PAH), compared to beraprost. Methods Based on a societal perspective, a model-based economic evaluation was performed using local and international data to quantify the potential costs and health-related outcomes in terms of life years (LYs) and quality-adjusted life years (QALYs). Results The economic model calculated the incremental cost-effectiveness ratio (ICER) per QALY gained for using sildenafil as first-line therapy compared to beraprost for the patient in functional class (FC) II and III, i.e. USD 3098 and USD 2827, respectively. The results indicated that in spite of sildenafil being more expensive than beraprost, generic sildenafil could potentially be a good value for money since ICER per QALY is below one times gross domestic product (GDP) per capita in Indonesia. Furthermore, budget impact analysis estimated that the incremental budget needed within 5 years for including sildenafil compared to beraprost for PAH patients starting in FC II and FC III was USD 436,775 and USD 3.6 million, respectively. Conclusions Compared to beraprost, sildenafil would be preferable for the treatment of PAH patients in FC II and FC III in Indonesia. The additional budget for adopting sildenafil compared to beraprost as the treatment of PAH in the benefits package was estimated at around USD 4.0 million. Electronic supplementary material The online version of this article (10.1186/s12913-019-4422-5) contains supplementary material, which is available to authorized users.

Data collection form for direct medical cost, Data collection form for collecting direct medical cost from hospital billing data. (DOC 119 kb)

Background Dengue is associated with significant economic expenditure and it is estimated that the Asia Pacific region accounts for >50% of the global cost. Indonesia has one of the world’s highest dengue burdens; Aedes aegypti and Aedes albopictus are the primary and secondary vectors. In the absence of local data on disease cost, this study estimated the annual economic burden during 2015 of both hospitalized and ambulatory dengue cases in Indonesia. Methods Total 2015 dengue costs were calculated using both prospective and retrospective methods using data from public and private hospitals and health centres in three provinces: Yogyakarta, Bali and Jakarta. Direct costs were extracted from billing systems and claims; a patient survey captured indirect and out-of-pocket costs at discharge and 2 weeks later. Adjustments across sites based on similar clinical practices and healthcare landscapes were performed to fill gaps in cost estimates. The national burden of dengue was extrapolated from provincial data using data from the three sites and applying an empirically-derived epidemiological expansion factor. Results Total direct and indirect costs per dengue case assessed at Yogyakarta, Bali and Jakarta were US$791, US$1,241 and US$1,250, respectively. Total 2015 economic burden of dengue in Indonesia was estimated at US$381.15 million which comprised US$355.2 million for hospitalized and US$26.2 million for ambulatory care cases. Conclusion Dengue imposes a substantial economic burden for Indonesian public payers and society. Complemented with an appropriate weighting method and by accounting for local specificities and practices, these data may support national level public health decision making for prevention/control of dengue in public health priority lists., Author summary Dengue, an infection transmitted by mosquitos, is a public health concern particularly in tropical/subtropical areas and the Asia Pacific region where it is associated with a significant cost to society. Indonesia has one of the world’s highest dengue burdens but Indonesia-specific data on cost are lacking. To estimate the annual economic burden of dengue in Indonesia, this study collected data from public/private hospitals and health centres in three provinces (Yogyakarta, Bali and Jakarta) during 2015. We estimated cost of illness using the societal perspective: calculations of costs included those that were directly paid by the healthcare system, as well as costs incurred by the patients (or their family/care givers) and their lost productivity. The costs from the three provinces were then used as the basis for extrapolating cost of illness in Indonesia. The authors confirmed that dengue imposed a substantial economic burden for Indonesian public payers and society. Based on 2015 data, the authors estimated total economic burden of dengue in Indonesia at US$381.15 million. Of this, US$355.2 million related to patients treated in hospitals and US$26.2 million was for patients treated in health centres. Establishing a better understanding of the burden of dengue in Indonesia will help to guide public health decision-making at a national level and support prevention and control initiatives for this disease.

Smoking remains the main cause of preventable early death. However, little is known about the association between parental smoking and child mortality in under-fives in developing countries. This study assesses the association between parental smoking status, smoking amount and smoking frequency with child mortality in under-fives in four Southeast Asian countries (Cambodia, Indonesia, Lao People's Democratic Republic and Timor Leste). We used the Demographic and Health Survey dataset. The information from couples consisting of fathers and mothers (n = 19,301 couples) in the same household were collected. Under-five child mortality was significantly associated with paternal smoking only (odds ratio (OR) = 1.25, 95% confidence interval (CI): 1.14&ndash, 1.38), maternal smoking only (OR = 2.40, 95% CI: 1.61&ndash, 3.59) and both parents smoking (OR = 2.60, 2.08&ndash, 3.26). Paternal, maternal, both parents&rsquo, smoking amount and frequency were also assessed. The estimated association decreased after adjusting for covariates but remained highly significant for smoking in both parents, mothers who smoked 1&ndash, 10 cigarettes/day, when both parents smoked &gt, 20 cigarettes/day, and in mothers who smoked every day. Future behavioural changes and smoking cessation programmes should engage parents as a catalyst for the reduction of child mortality risk in LMICs in the SEA region.

Health economic evaluation that encompasses decision analytic model is a beneficial approach for assisting decision maker to choose the best health intervention for patients. Decision analytic model has been increasingly applied in health economic evaluation. This mathematical approach is mostly used for conducting cost-effectiveness of healthcare interventions.Decision tree and Markov model has been widely applied in the past 20 years. Decision tree is the simplest form of decision model that drawn by the series of branches and clear pathways. Meanwhile, Markov model is one of the powerful approaches that employ stochastic process in health economic eval­uation. This paper describes the applications of those two models in tobacco cessations, specifically for pharmacological interventions.First, decision tree for cost-effectiveness of smoking cessation program with pharmacist and thera­pies interventions compared to no program or self-aid cessation. Second, the application of Markov model estimates cost-effectiveness of veranicline, in comparison to bupropion. Markov model is constructed with morbidity and mortality states that consists of: well/no morbidities, lung cancer, COPD, stroke, myocar­dial infarction, and dead. This paper provides step by step of populating and constructing the model-with some modification of data. Several sections discuss the understanding of transition probabilities, costs data, cohort simulation, and the role of sensitivity analysis. Other models, despite deterministic approach, prob­abilistic approach are also reviewed.Both of models had both advantages and limitation that analysts should be aware of. Translating the ‘real world’ to mathematical model yields beneficial and insightful information for analysts. In addition, it could fulfill the need of evidence-based policy by decision maker. From simulation, the model may easy to be replicated-with appropriate context to generate evidence related health and costs.

Objective: One of the parameters to measure the efficacy of the use of platinum based chemotherapy was the difference of tumor mass. Unfortunately, there was limited data about the use of rational chemotherapy medicine for cervical cancer patients at Sanglah Hospital. Therefore, research to find more data about the difference of tumor mass was necessary. Method: A prospective observational research conducted at Sanglah Hospital from January until August 2016 by using consecutive sampling method. Patients qualified for the inclusive criteria were separated into two groups, paclitaxel cisplatin and paclitaxel carboplatin. Tumor mass data was gathered from before chemotherapy I and after chemotherapy VI by using USG 2D LOGIQ V5. Data analysed was performed with SPSS 20.0 for windows with a 95% confidence level using Wilcoxon test and Mann Whitney test. Result: The mean value of tumor mass for patients in paclitaxel cisplatin regimen group before chemotherapy I and after chemotherapy VI were 68.91 + 7.41 cm 3 and 10.62 + 6.82 cm 3 respectively (p value=0.018). The mean value of tumor mass for patients in paclitaxel carboplatin regimen group before chemotherapy I and after chemotherapy VI were 53.44 + 52.25 cm 3 and 9.18 + 8.23 cm 3 respectively (p value=0.007). Meanwhile, the mean value of difference in tumor mass in paclitaxel cisplatin and paclitaxel carboplatin group was -58.29 + 49.93 cm 3 and -44.26 + 51.48 cm 3 respectively (p value=0.242). Conclusion: This research shows that there was a significant difference of tumor mass before chemotherapy I and chemotherapy VI in both regimen groups. There was a bigger decrease of tumor mass in patients from paclitaxel cisplatin chemotherapy group compared to paclitaxel carboplatin group, but not significantly different.