Subsidized Health Insurance Research Articles

Data Integration of Health Financing Systems as a Critical Enabler for Objective-Oriented Health System Reform: A Scoping Review from India

ABSTRACT Health financing fragmentation poses a challenge to reforms intended to address system-wide objectives vis-à-vis universal health coverage (UHC). India’s experience with publicly subsidized health insurance schemes (PSHIs), such as Rashtriya Swasthya Bima Yojana (RSBY) and its state adaptations, testify to the challenges inherent in effecting objective-oriented health systems reforms, particularly owing to wide variation in programmatic and operational design. Recent efforts to defragment PSHIs under the aegis of a new government initiative called Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PMJAY) using, inter alia, a unified information and communication technology (ICT) interface provide important policy lessons. This paper presents a theory of change for the role that ICT systems can play in promoting the objectives of UHC and highlights the early effects of ICT reforms in India on UHC. Holistic and defragmented ICT systems have a positive effect on the processes and operations of government health programs, according to the literature reviewed. Streamlined ICT systems promote equity through the introduction of portability modules, which increase access to services and facilitate stronger transparency and accountability measures by using big data and machine learning for fraud detection. Although reliability issues persist on certain fronts, India’s experience with homegrown, incremental reforms to defragment ICT systems for health financing have proven of paramount importance for progressing toward UHC.

Data fusion for predicting long-term program impacts.

Policymakers often require information on programs' long-term impacts that is not available when decisions are made. For example, while rigorous evidence from the Oregon Health Insurance Experiment (OHIE) shows that having health insurance influences short-term health and financial measures, the impact on long-term outcomes, such as mortality, will not be known for many years following the program's implementation. We demonstrate how data fusion methods may be used address the problem of missing final outcomes and predict long-run impacts of interventions before the requisite data are available. We implement this method by concatenating data on an intervention (such as the OHIE) with auxiliary long-term data and then imputing missing long-term outcomes using short-term surrogate outcomes while approximating uncertainty with replication methods. We use simulations to examine the performance of the methodology and apply the method in a case study. Specifically, we fuse data on the OHIE with data from the National Longitudinal Mortality Study and estimate that being eligible to apply for subsidized health insurance will lead to a statistically significant improvement in long-term mortality.

Interventions to Increase Affordable Care Act Marketplace Enrollment: A Systematic Review and Meta-Analysis.

Over 10 million uninsured individuals are eligible for subsidized health insurance coverage through the Affordable Care Act (ACA) marketplaces, and millions more were projected to become eligible with the end of the federal COVID-19 Public Health Emergency in 2023. Individual studies on behaviorally informed interventions designed to encourage enrollment suggest that some are more effective than others. This study summarizes evidence on the efficacy of these interventions and suggests which administrative burdens might be most relevant for potential enrollees. Published and unpublished studies were identified through a systematic review of studies assessing the impact of behaviorally informed interventions on ACA marketplace enrollment from 2014 to 2022. Thirty-four studies comprising over 18 million participants were included (32 randomized controlled trials and 2 quasiexperimental studies). At the time of data extraction, 8 were published. Twenty-seven of the studies qualified for inclusion in a meta-analysis, which found that the average rate of enrollment was about 1 percentage point higher for those who received an intervention (0.009, P < 0.001), a 24% increase relative to control households; for every 1000 people who receive an intervention, that would correspond to about 9 additional enrollees. When stratifying by intervention intensity, support-based interventions increased enrollment by 2 percentage points (0.020, P = 0.004), while information-based interventions increased enrollment by 0.6 percentage points (0.006, P < 0.001). The meta-analysis found that behaviorally informed interventions can increase ACA marketplace enrollment. Interventions aimed at alleviating compliance costs by providing enrollment support were about three times as effective as information alone.

'Hospitals Are Medicine and More….' An Assessment of Subsidised Health Insurance Beneficiaries' Experience in Western Kenya

Financial protection remains an important hurdle to overcome if Universal Health Coverage is to be achieved in sub-Saharan Africa. An innovative model of subsidised health insurance to vulnerable households was implemented in one level four and two primary health care facilities in Western Kenya. The project aimed to determine whether reduced insurance costs, socioeconomic empowerment, and the availability of drugs would improve patients' experience and encourage them to co-pay. This was a secondary analysis of a mixed methods study with a cross-sectional household survey consisting of 18 semi-structured interviews conducted with NHIF subsidy program beneficiaries. Most beneficiaries accessed care as a result of the program. However, challenges of stockouts and inadequate healthcare workers persisted and discouraged some of them from going to the participating facilities. Community Health Promoters were very instrumental in enlightening the community on the cover and getting the sick beneficiaries to go to the hospital. The socioeconomic empowerment programme was beneficial but was mostly long-term and required financial input from the community members before they could sell the poultry or agricultural produce. Most community members were willing to pay after receiving health services using the cover. The study recommends contextualisation of socioeconomic empowerment programs, which are very important in enabling families to generate income to pay for health insurance. Additionally, improving the service delivery experience is important by reducing stockouts, having sufficient healthcare workers, and eliminating facility-related delays, which would improve the confidence of communities in public health facilities, thus retaining health insurance

Genetic ancestry is related to potential sources of breast cancer health disparities among Colombian women.

Breast cancer health disparities are linked to clinical-pathological determinants, socioeconomic inequities, and biological factors such as genetic ancestry. These factors collectively interact in complex ways, influencing disease behavior, especially among highly admixed populations like Colombians. In this study, we assessed contributing factors to breast cancer health disparities according to genetic ancestry in Colombian patients from a national cancer reference center. We collected non-tumoral paraffin embedded (FFPE) blocks from 361 women diagnosed with breast cancer at the National Cancer Institute (NCI) to estimate genetic ancestry using a 106-ancestry informative marker (AIM) panel. Differences in European, Indigenous American (IA) and African ancestry fractions were analyzed according to potential sources of breast cancer health disparities, like etiology, tumor-biology, treatment administration, and socioeconomic-related factors using a Kruskal-Wallis test. Our analysis revealed a significantly higher IA ancestry among overweight patients with larger tumors and those covered by a subsidized health insurance. Conversely, we found a significantly higher European ancestry among patients with smaller tumors, residing in middle-income households, and affiliated to the contributory health regime, whereas a higher median of African ancestry was observed among patients with either a clinical, pathological, or stable response to neoadjuvant treatment. Altogether, our results suggest that the genetic legacy among Colombian patients, measured as genetic ancestry fractions, may be reflected in many of the clinical-pathological variables and socioeconomic factors that end up contributing to health disparities for this disease.

The Impact of Health Inequities on Population-Based Breast Cancer Survival in a Colombian Population, 2008-2015.

To obtain breast cancer survival estimates in Manizales, Colombia, considering socioeconomic level, health insurance regime and residential area, while adjusting for age, histology and stage at diagnosis. Analytical cohort study based on breast cancer incident cases recorded by the Population-based Manizales Cancer Registry between 2008-2015. Patients were followed-up for 60 months. Cause-specific survival was calculated using the Kaplan-Meier method for variables of interest, with the Wilcoxon-Breslow-Gehan test for differences. Cox multivariate regression models were fitted. 856 breast cancer cases were included. The 5-year cause-specific survival for the entire cohort was 78.2%. It was higher in women with special/exception health insurance, high socioeconomic level, <50years old, ductal carcinoma, and stages I and II. Residential area did not impact survival. In Cox models, the subsidized health insurance regime (HR: 4.87 vs contributory) and low socioeconomic level (HR: 2.45 vs high) were predictors of the hazard of death in women with breast cancer, adjusted for age, histology, stage and interactions age-stage and insurance-stage. A positive interaction (synergistic effect modification) between health insurance regime and stage regarding to survival was observed. Socioeconomic factors significantly contribute to the inequities in breast cancer survival, independent of the stage at diagnosis. This suggests the need for comprehensive interventions to remove barriers to accessing the health system. This research provides evidence of survival gaps mediated by certain social determinants of health and generates data on the overall performance of the Colombian health system.

Subsidized health insurance impact among the poor: Evidence on out-of-pocket health expenditures in Indonesia

Universal Health Care (UHC) in Indonesia, named the National Health Insurance (Jaminan Kesehatan Nasional - JKN), has been running since 2014. JKN was predicted to be the most extensive UHC program in the world. Under JKN, the poor get free health services through the cashless method through a sub-program called Contribution Assistance Recipients (Penerima Bantuan Iuran - PBI). Unfortunately, JKN faced several failures to cover the program's expenditures within years. Within the current dynamics, was PBI, as part of JKN still effectively helping the poor? We examined the effectiveness of the PBI program by measuring differences in out-of-pocket health expenditures for the poor with similar socio-economic characteristics who used PBI and those who did not. We incorporated secondary data from National Socio-economic Survey (SUSENAS). The dataset was executed by using Propensity Score Matching (PSM) methodology. We used health expenditures and socio-economic parameters such as income, education, and gender from the 2017 and 2018 SUSENAS data. We found that in 2017, the total health expenditures of the PBI beneficiaries were lower than the non-beneficiaries. Nevertheless, by merging all two years' data, similar to 2018, we found general pattern that PBI participants' total health out-of-pocket payments were bigger than the non-participants. Health expenditures such as medicine, traditional practitioners, and others, were expenditure classifications in which PBI beneficiaries had lower expenses than non-beneficiaries in 2017. Therefore, Therefore, the UHC subsidy program for the poor in Indonesia has not only been ineffective through the years of implementation but also has not been effectively implemented for all variations of health expenditure types.

The Relationship between Chronic Non-Communicable Diseases of Fish Farm Household Members and Production Efficiency: The Case of Ghana

Prior studies explored the production and technical efficiency of fish farms and farmers from the perspectives of factors such as credit access and cooperative membership. We focused on the chronic non-communicable diseases (NCDs) of household members and their quantitative impacts on fish farm production efficiency, based on data of earthen pond fish farms from two regions (Bono East and Ashanti) in Ghana. A data envelopment analysis (DEA) and the IV Tobit technique were employed for the study's analysis. From the study's observations, we draw the following conclusions. We found that the NCDs of household members indeed reduce farm production efficiency, and the heterogeneous impact of the NCDs of female members on farm production efficiency was more prominent than that of male members. Insights from this study suggest that the national government should provide farmers with the necessary medical care through the provision of subsidized health insurance, which can facilitate access to healthcare services. Moreover, NGOs and governments should encourage health literacy, i.e., organizing programs aimed at educating farmers on NCDs and their impact on agriculture.

Is there an ex-ante moral hazard on Indonesia's health insurance? An impact analysis on household waste management behavior.

The presence of ex-ante moral hazard could undermine the potential gain from expanding health insurance coverage in developing nations. To test the proposition, this study utilizes a nationally representative longitudinal survey with Indonesia's health insurance for poor policy in 2014 as the quasi-experimental case study. The country represents developing nations that undergo a massive and rapid expansion of health insurance coverage. The empirical approach combines a matching and difference-in-differences method to obviate potential bias of the selectivity nature of health insurance provision and time-invariant unobserved factors. The findings suggest the presence of ex-ante moral hazard in the form of the less people using trash cans associated with the introduction of the subsidized health insurance premium. The results add empirical findings of a negative side effect of expanding health insurance coverage in developing nations.

Impact evaluation of subsidized health insurance programs on utilization of healthcare facilities: evidence from Indonesia.

Despite subsidized health insurance has long been proclaimed by many countries including Indonesia, the variety of evaluation results showing that the optimization of benefits obtained by recipients is still questionable. The objective of this study is to analyze the impact of subsidized health insurance programs (ASKESKIN and JAMKESMAS) on the utilization of healthcare facilities in Indonesia. Data from two waves longitudinal data, the Indonesian Family Life Survey (IFLS), were analyzed using the propensity score matching method. This study found that in general, ASKESKIN and JAMKESMAS had very small impacts on the utility of healthcare facilities measured by outpatient and inpatient visits by program's beneficiaries. It implies that being subsidized health insurance holders does not necessarily encourage them to visit formal healthcare facilities. In addition, the comparison of average treatment effect on the treated (ATT) between ASKESKIN and JAMKESMAS also did not show any significant improvement even though the program had tried to be improved. The results of this study provide the basis for advising policy makers that there needs to revisit the effectiveness of subsidized health insurance program implementation.

Estimating heterogeneous policy impacts using causal machine learning: a case study of health insurance reform in Indonesia

Policymakers seeking to target health policies efficiently towards specific population groups need to know which individuals stand to benefit the most from each of these policies. While traditional approaches for subgroup analyses are constrained to only consider a small number of pre-defined subgroups, recently proposed causal machine learning (CML) approaches help explore treatment-effect heterogeneity in a more flexible yet principled way. Causal forests use a generalisation of the random forest algorithm to estimate heterogenous treatment effects both at the individual and the subgroup level. Our paper aims to explore this approach in the setting of health policy evaluation with strong observed confounding, applied specifically to the context of mothers’ health insurance enrolment in Indonesia. Comparing two health insurance schemes (subsidised and contributory) against no insurance, we find beneficial average impacts of enrolment in contributory health insurance on maternal health care utilisation and infant mortality, but no impact of subsidised health insurance. The causal forest algorithm identified significant heterogeneity in the impacts of contributory insurance, not just along socioeconomic variables that we pre-specified (indicating higher benefits for poorer, less educated, and rural women), but also according to some other characteristics not foreseen prior to the analysis, suggesting in particular important geographical impact heterogeneity. Our study demonstrates the power of CML approaches to uncover unexpected heterogeneity in policy impacts. The findings from our evaluation of past health insurance expansions can potentially guide the re-design of the eligibility criteria for subsidised health insurance in Indonesia.

Factors Associated with Unsuccessful Outcomes of Tuberculosis Treatment in 125 Municipalities in Colombia 2014 to 2016.

Our aim was to identify the risk factors associated with unsuccessful outcomes of tuberculosis (TB) treatment in patients diagnosed between 2014 and 2016 in the 125 municipalities of Antioquia, Colombia. We studied a retrospective cohort of patients with TB diagnosed between 2014 and 2016, from national routine surveillance systems, in 125 municipalities of Antioquia. Factors associated with unsuccessful tuberculosis treatment outcomes (treatment failed, lost to follow up, or death) were identified utilizing a Poisson regression with robust variance. Over 3 years, of the 6,739 drug-susceptible tuberculosis patients, 73.4% had successful treatment and 26.6% unsuccessful outcomes (17% lost to follow up, 8.9% deaths, and 0.7% treatment failures). Patients with subsidized health insurance (Relative risk [RR]: 2.4; 95% CI: 2.1-2.8) and without health insurance (RR: 2.5; 95% CI: 2.1-3.0) had a higher risk for unsuccessful tuberculosis treatment compared to those with contributive health insurance. Other risk factors included age over 15 years, male sex, homelessness, people living with HIV, previous treatment, and primary diagnosis during hospitalization. Protective factors were living in a rural area and extrapulmonary disease. It is important to generate strategies that improves tuberculosis diagnosis in primary healthcare institutions. In addition, it is imperative to initiate new research about the barriers and obstacles related to patients, healthcare workers and services, and the health system, including the analysis of urban violence, to understand why the goal of TB treatment success has not been reached.

Understanding Barriers to the Access to Healthcare and Rehabilitation Services: A Qualitative Study with Mothers or Female Caregivers of Children with a Disability in Indonesia.

Accessibility to healthcare and rehabilitation services for children with a disability (CWD) is essential to improving their health and wellbeing. However, access to the services, especially in many settings in developing countries with scarcity of resources, is still limited. As part of a qualitative study exploring impacts of caring for CWD on mothers or female caregivers and their coping strategies, this paper describes barriers for access to healthcare and rehabilitation services for CWD in Belu district, Indonesia. One-on-one, in-depth interviews were conducted with 22 mothers or female caregivers of CWD. Participants were recruited using a combination of purposive and snowball sampling techniques. These were supplemented with interviews with two staff of disability rehabilitation centers in Belu to understand any additional barriers. Data analysis was guided by a qualitative data analysis framework. Our analysis identified that lack of affordability of healthcare services (high costs and low financial capacity of mothers) was the key barrier for access to healthcare and rehabilitation services CWD. Religious or faith-based factors, such as being a non-Catholic (Belu is predominantly Catholic), converting from Catholic to other religions, and the belief in children’s disability condition as “God’s will”, were also influencing factors for lack of access to the services. Shortage of staff, distrust in the therapy skills of staff at rehabilitation centers, and unavailability of appropriately trained healthcare professionals were structural or system-related barriers. The findings indicate the need for government-owned and run disability rehabilitation centers (not faith-based), the provision of fully subsidised health insurance to provide free services, and the provision of qualified therapists and healthcare professionals (to build trust) in Belu and other similar settings in Indonesia.

The impact of i-PUSH on maternal and child health care utilization, health outcomes, and financial protection: study protocol for a cluster randomized controlled trial based on financial and health diaries data

BackgroundUniversal Health Coverage ensures access to quality health services for all, with no financial hardship when accessing the needed services. Nevertheless, access to quality health services is marred by substantial resource shortages creating service delivery gaps in low-and middle-income countries, including Kenya. The Innovative Partnership for Universal Sustainable Healthcare (i-PUSH) program, developed by AMREF Health Africa and PharmAccess Foundation (PAF), aims to empower low-income women of reproductive age and their families through innovative digital tools. This study aims to evaluate the impact of i-PUSH on maternal and child health care utilization, women’s health including their knowledge, behavior, and uptake of respective services, as well as women’s empowerment and financial protection. It also aims to evaluate the impact of the LEAP training tool on empowering and enhancing community health volunteers’ health literacy and to evaluate the impact of the M-TIBA health wallet on savings for health and health insurance uptake.MethodsThis is a study protocol for a cluster randomized controlled trial (RCT) study that uses a four-pronged approach—including year-long weekly financial and health diaries interviews, baseline and endline surveys, a qualitative study, and behavioral lab-in-the-field experiments—in Kakemega County, Kenya. In total, 240 households from 24 villages in Kakamega will be followed to capture their health, health knowledge, health-seeking behavior, health expenditures, and enrolment in health insurance over time. Half of the households live in villages randomly assigned to the treatment group where i-PUSH will be implemented after the baseline, while the other half of the households live in control village where i-PUSH will not be implemented until after the endline. The study protocol was reviewed and approved by the AMREF Ethical and Scientific Review Board. Research permits were obtained from the National Commission for Science, Technology and Innovation agency of Kenya.DiscussionPeople in low-and middle-income countries often suffer from high out-of-pocket healthcare expenditures, which, in turn, impede access to quality health services. Saving for healthcare as well as enrolment in health insurance can improve access to healthcare by building capacities at all levels—individuals, families, and communities. Notably, i-PUSH fosters savings for health care through the mobile-phone based “health wallet,” it enhances enrolment in subsidized health insurance through the mobile platform—M-TIBA—developed by PAF, and it seeks to improve health knowledge and behavior through community health volunteers (CHVs) who are trained using the LEAP tool—AMREF’s mHealth platform. The findings will inform stakeholders to formulate better strategies to ensure access to Universal Health Coverage in general, and for a highly vulnerable segment of the population in particular, including low-income mothers and their children.Trial registrationRegistered with Protocol Registration and Results System (protocol ID: AfricanPHRC; trial ID: NCT04068571: AEARCTR-0006089; date: 29 August 2019) and The American Economic Association’s registry for randomized controlled trials (trial ID: AEARCTR-0006089; date: 26 June 2020).

Building Medical Claims-Processing Software From 12 Time Zones Away

Each of the 50 U.S. states offers subsidized health insurance (Medicaid) to certain sections of its population. This, in turn, means that each of the 50 states needs to implement and maintain an IT system, the Medicaid Management Information System (MMIS), to enable its Medicaid processes. From fiscal year 2008 through fiscal year 2018, states spent close to US$40 billion on their MMIS systems—out of which, close to US$30 billion was reimbursed by the federal government as per prevailing funding norms.¹

Healthy aging determinants and disability among older adults: SABE Colombia.

ABSTRACTObjective.To identify the main factors associated with disability in older adults in Colombia, adjusted according to structural and intermediary determinants of healthy aging.Methods.This study used cross-sectional data from 23 694 adults over 60 years of age in the SABE Colombia nationwide survey. Structural determinants such as demographic and socioeconomic position variables were analyzed. Intermediary variables were classified into three blocks: intrinsic capacity, physical and built environment, and health care systems. Data analysis employed multivariate logistic regression.Results.The prevalence of overall disability was 21% for activities of daily living, 38% for instrumental activities of daily living, and 33% for mobility disability. Disability was associated with sociodemographic structural determinants such as older age, female sex, rural residence, never married/divorced, living alone, low educational level, and Indigenous/Black ethnicity. With regard to determinants of socioeconomic position, net low income, poor socioeconomic stratum, insufficient income perception, and a subsidized health insurance scheme exerted a major influence on disability. Intermediary determinants of intrinsic capacity, such as poor self-rated health, multimorbidity, low grip strength, sedentary lifestyle, early childhood economic adversity, no social support, and no participation in activities, were significantly associated with disability.Conclusions.Actions that affect the main factors associated with disability, such as reducing health inequities through policies, strategies, and activities, can contribute significantly to the well-being and quality of life of Colombian older adults.

Health-related quality of life and health literacy among adult primary care patients with subsidized or contributive health insurance in Colombia

ContextColombia passed Law 100 in 1993 with the goal of providing universal health care coverage, and by 2013, over 96% of the Colombian population had health insurance coverage. However, little is known about how health-related quality of life (HRQoL) and health literacy are related among those with the two most common types of health insurance coverage: subsidized (those with lower incomes) and contributory (those with higher incomes) coverage. Objectives and methodsIn the current exploratory investigation, data from adults visiting six primary care clinics in Colombia were analysed to examine the relationship between HRQoL (assessed as problems with mobility, self-care, completing usual activities, pain/discomfort, and anxiety/depression), demographics, the two health insurance types, and health literacy. Analyses also assessed whether, within insurance types, health literacy was related to HRQoL. ResultsResults showed that those with contributory health insurance coverage had greater health literacy than those with subsidized coverage, and this was accounted for by differences in education and socioeconomic status. HRQoL did not differ by insurance type. Although lower health literacy was related to worse HRQoL in the overall sample, in subgroup analyses lower health literacy significantly related to worse HRQoL only among those with subsidized health insurance coverage. ConclusionTargeting skills which contribute to health literacy, such as interpreting medical information or filling out forms, may improve HRQoL, particularly in those with subsidized insurance coverage.

Patient- and provider-related factors in the success of multidrug-resistant tuberculosis treatment in Colombia

ABSTRACTObjective.To identify patient- and provider-related factors associated with the success of multidrug-resistant tuberculosis (MDR-TB) treatment in the six municipalities of Colombia with the highest number of MDR-TB cases.Methods.Bivariate and multivariate logistic regressions were used to analyze the association between treatment success (cure or treatment completion) and characteristics of the patients and physicians, nursing professionals, and psychologists involved in their treatment. The importance of knowledge in the management of MDR-TB cases was explored through focus groups with these providers.Results.Of 128 cases of TB-MDR, 63 (49.2%) experienced treatment success. Only 52.9% of the physicians and nursing professionals had satisfactory knowledge about MDR-TB. Logistic regression showed that being HIV negative, being affiliated with the contributory health insurance scheme, being cared for by a male physician, and being cared for by nursing professionals with sufficient knowledge were associated with a successful treatment outcome (p ≤ 0.05). Qualitative analysis showed the need for in-depth, systematic training of health personnel who care for patients with MDR-TB.Conclusions.Some characteristics of patients and healthcare providers influence treatment success in MDR-TB cases. Physicians’ and nurses’ knowledge about MDR-TB must be improved, and follow-up of MDR-TB patients who are living with HIV and of those affiliated with the subsidized health insurance scheme in Colombia must be strengthened, as these patients have a lower likelihood of a successful treatment outcome.

Impacts of insurance expansion on health cost, health access, and health behaviors: evidence from the medicaid expansion in the US.

Expansion of subsidized health insurance may result in both safer and riskier health behavior and outcomes. While having insurance lowers cost barriers to receive both usual and preventive care, the lower potential cost from adverse health events may also promote risky behavior. In this paper, I exploit expansion in the Medicaid program under the Affordable Care Act to estimate the impact of insurance expansion on health outcomes and behaviors for low-income individuals in the US. I find that expansion of coverage has significantly lowered cost and increased access, particularly among minority populations, but has had no significant impact on preventive health behaviors. At the same time, I also find no evidence of moral hazard or increase risky behavior like smoking and drinking among residents of expansion states.

Patient- and provider-related factors in the success of multidrug tuberculosis treatment in ColombiaFatores de êxito do tratamento da tuberculose multirresistente relacionados com o paciente e com a equipe de saúde na Colômbia

RESUMENObjetivo.Identificar los factores asociados con el éxito del tratamiento de tuberculosis multidrogorresistente (TB-MDR) relacionados con los pacientes y el personal sanitario en seis municipios de Colombia con mayor número de casos.Métodos.Mediante regresiones logísticas bifactorial y multifactorial se analizó la asociación entre el tratamiento exitoso (curación o cumplimiento del tratamiento) y las características de los pacientes, y de los médicos, profesionales de enfermería y psicólogos vinculados al tratamiento. Se exploró la importancia del conocimiento en el manejo de los casos de TB-MDR mediante grupos focales con esos profesionales.Resultados.De los 128 casos con TB-MDR, 63 (49,2%) tuvieron un tratamiento exitoso. Solo 52,9% de los médicos y profesionales de enfermería tenía conocimientos satisfactorios sobre TB-MDR. La regresión logística mostró que ser negativo al VIH, estar afiliado al régimen de aseguramiento de salud contributivo, estar atendido por un médico del sexo masculino y por profesionales de enfermería con conocimientos suficientes se asociaron con un desenlace exitoso del tratamiento (p ≤ 0,05). El análisis cualitativo mostró la necesidad de profundizar y sistematizar la capacitación del personal sanitario que atiende los casos de TB-MDR.Conclusiones.En el éxito del tratamiento de los casos de TB-MDR influyen algunas características de los pacientes y el personal sanitario. Se requiere fortalecer los conocimientos sobre TB-MDR de médicos y enfermeros, y reforzar el seguimiento de los pacientes con TB-MDR positivos al VIH y de los que pertenecen al régimen subsidiado, dada su menor probabilidad de éxito al tratamiento.