Cost of seeking care for tuberculosis since the implementation of universal health coverage in Indonesia

Policy gaps in addressing market failures and intervention misalignments in tuberculosis control: prospects for improvement in China, India, and Indonesia

India, Indonesia, and China are the top three countries with the highest tuberculosis (TB) burden. To achieve the end TB target, we analyzed policy gaps in addressing market failures as well as misalignments between National TB Programs (NTP) and health insurance policies in TB control in three countries. In India and Indonesia, we found insufficient incentives to engage private practitioners or to motivate them to improve service quality. In addition, ineffective supervision of practice and limited coverage of drugs or diagnostics was present in all three countries. The major policy misalignment identified in all three countries is that while treatment guidelines encourage outpatient treatment for drug-sensitive patients, the national health insurance scheme covers primarily inpatient services. We therefore advocate for better alignment of TB control programs and broader universal health coverage (UHC) programs to leverage additional resources from national health insurance programs to improve the effective coverage of TB care.

Stigma, depression, quality of life, and the need for psychosocial support among people with tuberculosis in Indonesia: A multi-site cross-sectional study

Stigma towards people with tuberculosis (TB-Stigma) is associated with other psychosocial consequences of TB including mental illness and reduced quality of life (QoL). We evaluated TB-Stigma, depression, QoL, and the need for psychosocial support among adults with TB in Indonesia, a high TB burden country. In this primary health facility-based survey in seven provinces of Indonesia, from February to November 2022, we interviewed adults receiving (a) intensive phase treatment for drug-susceptible (DS) TB at public facilities, (b) treatment at private facilities, (c) those lost to follow up (LTFU) to treatment, and (d) those receiving TB retreatment. We used our previously validated Indonesian TB-Stigma Scale, Patient Health Questionnaire-9, and EQ-5D-5L to measure TB-Stigma, depression, and QoL. Additional questions assessed what psychosocial support was received or needed by participants. We recruited and interviewed 612 people, of whom 60.6% (96%CI 59.6-64.5%) experienced moderate TB-Stigma. The average TB-Stigma scores were 19.0 (SD 6.9; min-max 0-50; Form A-Patient Perspective) and 23.4 (SD 8.4, min-max 0-50; Form B-Community Perspective). The scores were higher among people receiving treatment at private facilities (adjusted B [aB] 2.48; 0.94-4.03), those LTFU (aB 2.86; 0.85-4.87), males (aB 1.73; 0.59-2.87), those losing or changing job due to TB (aB 2.09; 0.31-3.88) and those living in a rural area (aB 1.41; 0.19-2.63). Depression was identified in 41.5% (95% CI 37.7-45.3%) of participants. Experiencing TB-Stigma was associated with moderately severe to severe depression (adjusted odds ratio [aOR] 1.23; 1.15-1.32) and both stigma and depression were associated with lower QoL (aB -0.013; [-0.016]-[-0.010]). Informational (20.8%), emotional (25.9%) and instrumental (10.6%) support received from peers or peer-groups was limited, and unmet need for such support was high. There is a sizeable and intersecting burden of TB-Stigma and depression among adults with TB in Indonesia, which is associated with lower QoL. Participants reported a substantial unmet need for psychosocial support including peer-led mutual support groups. A community-based peer-led psychosocial support intervention is critical to defray the psychosocial impact of TB in Indonesia.

Impact of the COVID-19 pandemic on quality of tuberculosis care in private facilities in Bandung, Indonesia: a repeated cross-sectional standardized patients study

BACKGROUND

Indonesia has the second highest incidence of tuberculosis in the world. While 74% of people with tuberculosis in Indonesia first accessed the private health sector when seeking care for their symptoms, only 18% of tuberculosis notifications originate in the private sector. Little is known about the impact of the COVID-19 pandemic on the private sector. Using unannounced standardized patient visits to private providers, we aimed to measure quality of tuberculosis care during the COVID-19 pandemic.

METHODS

A cross-sectional study was conducted using standardized patients in Bandung City, West Java, Indonesia. Ten standardized patients completed 292 visits with private providers between 9 July 2021 and 21 January 2022, wherein standardized patients presented a presumptive tuberculosis case. Results were compared to standardized patients surveys conducted in the same geographical area before the onset of COVID-19.

RESULTS

Overall, 35% (95% confidence interval (CI): 29.2-40.4%) of visits were managed correctly according to national tuberculosis guidelines. There were no significant differences in the clinical management of presumptive tuberculosis patients before and during the COVID-19 pandemic, apart from an increase in temperature checks (adjusted odds ratio (aOR): 8.05, 95% CI: 2.96-21.9, p < 0.001) and a decrease in throat examinations (aOR 0.16, 95% CI: 0.06-0.41, p = 0.002) conducted during the pandemic.

CONCLUSIONS

Results indicate that providers successfully identify tuberculosis in their patients yet do not manage them according to national guidelines. There were no major changes found in quality of tuberculosis care due to the COVID-19 pandemic. As tuberculosis notifications have declined in Indonesia due to the COVID-19 pandemic, there remains an urgent need to increase private provider engagement in Indonesia and improve quality of care.

Clinical and economic burden of drug-susceptible tuberculosis in Indonesia: national trends 2017-19

BACKGROUND

The global incidence of tuberculosis is decreasing, yet it remains high in Indonesia. The Indonesian National Tuberculosis Program facilitates mandatory notification, which enables early detection and treatment, minimises complications, prevents transmission, and decreases deaths. This study aimed to assess the characteristics, trends, and economic burden of notified drug-susceptible tuberculosis cases registered in this system from 2017 to 2019.

METHODS

We performed a multiyear cross-sectional study focusing on drug-susceptible tuberculosis notified cases, incidence, geographical tuberculosis case distribution, treatment outcomes, and costs in Indonesia using data from Sistem Informasi Tuberkulosis (2017-19). The settings were Indonesian health-care facilities that provide tuberculosis control programmes and services. Eligible patients were those who were diagnosed with drug-susceptible tuberculosis and notified to Sistem Informasi Tuberkulosis.

FINDINGS

Between 2017 and 2019, notified cases increased from 429 219 to 523 614 individuals, corresponding to an increase in incidence from 167 cases per 100 000 to 196 cases per 100 000. In 2019, more than 250 cases per 100 000 inhabitants were notified in Jakarta, North Sulawesi, Gorontalo, and Papua. Treatment success rate increased from 363 098 (84·60%) of 429 219 in 2017 to 452 966 (86·51%) of 523 614 in 2019, with a relatively stable mortality, changing from 3·15% to 3·05%. HIV status was increasingly confirmed, with unknown status decreasing from 66·21% to 43·68%. The costs of visits and monitoring and drug regimens were relatively stable, with total direct medical costs slightly increasing from US$39·40 to $40·40 per case.

INTERPRETATION

Progress was made on drug-susceptible tuberculosis management in Indonesia. However, further intensified efforts, including case-finding, optimising diagnosis, and cost-effective tuberculosis management are required if Indonesia is to achieve the 2025 WHO End Tuberculosis Strategy target incidence of fewer than 55 cases per 100 000 people. These data are an important starting point for understanding drug-susceptible tuberculosis dynamics in Indonesia and optimising its management.

FUNDING

Directorate General of Higher Education; Ministry of Education, Culture, Research, and Technology of the Republic of Indonesia.

Delayed detection of leprosy cases: A systematic review of healthcare-related factors

Background

In new leprosy cases, grade 2 disability (G2D) is still a public health burden worldwide. It is often associated with the delayed leprosy diagnoses that healthcare systems should play a crucial role in preventing. The aim of this systematic review was to identify healthcare factors related to delays in case detection in leprosy.

Methods

PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) was used as a guideline in this research. The study protocol was registered in the PROSPERO (International Prospective Register of Systematic Reviews) with reference code CRD42020189274. Data was collected from five electronic databases: Embase, Medline All Ovid, Web of Science, Cochrane CENTRAL, and the WHO Global Health Library.

Results

After applying the selection criteria for original empirical studies, and after removing duplicates, we included 20 papers from 4313 records. They had been conducted in ten countries and published between January 1, 2000, and January 31, 2021. We identified three categories of healthcare factors related to delayed case. 1) Structural factors, such as i) financial and logistic issues, and geographical circumstances (which we classified as barriers); ii) Health service organization and management including the level of decentralization (classified as facilitators). 2) Health service factors, such as problems or shortages involving referral centers, healthcare personnel, and case-detection methods. 3) Intermediate factors, such as misdiagnosis, higher numbers of consultations before diagnosis, and inappropriate healthcare services visited by people with leprosy.

Conclusions

Delays in leprosy case detection are due mainly to misdiagnosis. It is crucial to improve the training and capacity of healthcare staff. To avoid misdiagnosis and reduce detection delays, national leprosy control programs should ensure the sustainability of leprosy control within integrated health services.

New leprosy patients diagnosed with visible physical deformities represent a significant disease burden that also poses an important public health challenge. The physical deformities often result from long delays in case detection. Greater insight into the healthcare factors that contribute to such delays will support the development of effective prevention programs. We therefore reviewed all studies on the healthcare factors related to case-detection delay that had been published between January 1, 2000, and January 31, 2021. Twenty studies were included in our analysis. We found that misdiagnosis was a core healthcare factor related to delays. Other common factors included inappropriate health services, a high number of consultations before diagnosis; and a lack of referral centers, healthcare personnel, and case-detection methods. Detection delay was further influenced by geographical circumstances, financial and logistic issues, and health-service organization and management including the level of the decentralization of healthcare programs. Because delays in leprosy case detection are due mainly to misdiagnosis, we recommend to improve the training and capacity of healthcare staff. To avoid misdiagnosis and reduce detection delays, national leprosy control programs should ensure the sustainability of leprosy control within integrated health services.

Integrating tuberculosis and noncommunicable diseases care in low- and middle-income countries (LMICs): A systematic review

BACKGROUND

Low- and middle-income countries (LMICs) are facing a combined affliction from both tuberculosis (TB) and noncommunicable diseases (NCDs), which threatens population health and further strains the already stressed health systems. Integrating services for TB and NCDs is advantageous in tackling this joint burden of diseases effectively. Therefore, this systematic review explores the mechanisms for service integration for TB and NCDs and elucidates the facilitators and barriers for implementing integrated service models in LMIC settings.

METHODS AND FINDINGS

A systematic search was conducted in the Cochrane Library, MEDLINE, Embase, PubMed, Bibliography of Asian Studies, and the Global Index Medicus from database inception to November 4, 2021. For our search strategy, the terms "tuberculosis" AND "NCDs" (and their synonyms) AND ("delivery of healthcare, integrated" OR a range of other terms representing integration) were used. Articles were included if they were descriptions or evaluations of a management or organisational change strategy made within LMICs, which aim to increase integration between TB and NCD management at the service delivery level. We performed a comparative analysis of key themes from these studies and organised the themes based on integration of service delivery options for TB and NCD services. Subsequently, these themes were used to reconfigure and update an existing framework for integration of TB and HIV services by Legido-Quigley and colleagues, which categorises the levels of integration according to types of services and location where services were offered. Additionally, we developed themes on the facilitators and barriers facing integrated service delivery models and mapped them to the World Health Organization's (WHO) health systems framework, which comprises the building blocks of service delivery, human resources, medical products, sustainable financing and social protection, information, and leadership and governance. A total of 22 articles published between 2011 and 2021 were used, out of which 13 were cross-sectional studies, 3 cohort studies, 1 case-control study, 1 prospective interventional study, and 4 were mixed methods studies. The studies were conducted in 15 LMICs in Asia, Africa, and the Americas. Our synthesised framework explicates the different levels of service integration of TB and NCD services. We categorised them into 3 levels with entry into the health system based on either TB or NCDs, with level 1 integration offering only testing services for either TB or NCDs, level 2 integration offering testing and referral services to linked care, and level 3 integration providing testing and treatment services at one location. Some facilitators of integrated service include improved accessibility to integrated services, motivated and engaged providers, and low to no cost for additional services for patients. A few barriers identified were poor public awareness of the diseases leading to poor uptake of services, lack of programmatic budget and resources, and additional stress on providers due to increased workload. The limitations include the dearth of data that explores the experiences of patients and providers and evaluates programme effectiveness.

CONCLUSIONS

Integration of TB and NCD services encourages the improvement of health service delivery across disease conditions and levels of care to address the combined burden of diseases in LMICs. This review not only offers recommendations for policy implementation and improvements for similar integrated programmes but also highlights the need for more high-quality TB-NCD research.

Individual and community factors determining delayed leprosy case detection: A systematic review

Background

The number of new leprosy cases is declining globally, but the disability caused by leprosy remains an important disease burden. The chance of disability is increased by delayed case detection. This review focusses on the individual and community determinants of delayed leprosy case detection.

Methods

This study was conducted according to the PRISMA guidelines (Preferred Reporting Items for Systematic Reviews and Meta-Analysis). The study protocol is registered in PROSPERO (code: CRD42020189274). To identify determinants of delayed detection, data was collected from five electronic databases: Embase.com, Medline All Ovid, Web of Science, Cochrane CENTRAL, and the WHO Global Health Library.

Results

We included 27 papers from 4315 records assessed. They originated in twelve countries, had been published between January 1, 2000, and January 31, 2021, and described the factors related to delayed leprosy case detection, the duration of the delayed case, and the percentage of Grade 2 Disability (G2D). The median delay in detection ranged from 12 to 36 months, the mean delay ranged from 11.5 to 64.1 months, and the percentage of G2D ranged from 5.6 to 43.2%. Health-service-seeking behavior was the most common factor associated with delayed detection. The most common individual factors were older age, being male, having a lower disease-symptom perception, having multibacillary leprosy, and lack of knowledge. The most common socioeconomic factors were living in a rural area, performing agricultural labor, and being unemployed. Stigma was the most common social and community factor.

Conclusions

Delayed leprosy case detection is clearly correlated with increased disability and should therefore be a priority of leprosy programs. Interventions should focus on determinants of delayed case detection such as health-service-seeking behavior, and should consider relevant individual, socioeconomic, and community factors, including stigmatization. Further study is required of the health service-related factors contributing to delay.

Leprosy remains an important public health problem with many new leprosy patients diagnosed with visible physical deformities, indicating a long delay in the detection of cases. For effective prevention programs, it is important to know the factors at the level of the individual and the community that contribute to the delay. We reviewed all published studies that reported individual and community factors related to delayed case detection in leprosy and included 27 studies in our analysis, published between January 1, 2000, and January 31, 2021. Health-service-seeking behavior was the most common factor associated with delay in case detection. The most common individual factors were older age, being male, having a lower disease-symptom perception, having multibacillary leprosy, and lack of knowledge about leprosy. The most common socioeconomic factors were living in a rural area, performing agricultural labor, and being unemployed. Stigma was the most common social and community factor associated with detection delay.

The presence of physical disability in newly diagnosed leprosy patients is clearly related to the delay in detecting these patients. Leprosy control interventions should take factors related to detection delay into account more comprehensively. Also, there is a need to study health service-related factors that contribute to detection delay of leprosy patients.

Artificial intelligence in overcoming rifampicin resistant-screening challenges in Indonesia: a qualitative study on the user experience of CUHAS-ROBUST

Purpose

The Chulalongkorn-Hasanuddin Rifampicin-Resistant Tuberculosis Screening Tool (CUHAS-ROBUST) is an artificial intelligence–based (AI–based) application for rifampicin-resistant tuberculosis (RR-TB) screening. This study aims to elaborate on the drug-resistant TB (DR-TB) problem and the impact of CUHAS-ROBUST implementation on RR-TB screening.

Design/methodology/approach

A qualitative approach with content analysis was performed from September 2020 to October 2020. Medical staff from the primary care center were invited online for application trials and in-depth video call interviews. Transcripts were derived as a data source. An inductive thematic data saturation technique was conducted. Descriptive data of participants, user experience and the impact on the health service were summarized

Findings

A total of 33 participants were selected from eight major islands in Indonesia. The findings show that DR-TB is a new threat, and its diagnosis faces obstacles particularly prolonged waiting time and inevitable delayed treatment. Despite overcoming the RR-TB screening problems with fast prediction, the dubious screening performance, and the reliability of data collection for input parameters were the main concerns of CUHAS-ROBUST. Nevertheless, this application increases the confidence in decision-making, promotes medical procedure compliance, active surveillance and enhancing a low-cost screening approach.

Originality/value

The CUHAS-ROBUST achieved its purpose as a tool for clinical decision-making in RR-TB screening. Moreover, this study demonstrates AI roles in enhancing health-care quality and boost public health efforts against tuberculosis.

COVID-19 and Tuberculosis-Related Catastrophic Costs

The COVID-19 pandemic has created an unprecedented health crisis and a substantial socioeconomic impact. It also affects tuberculosis (TB) control severely worldwide. Interruptions of many TB control programs because of the COVID-19 pandemic could result in significant setbacks. One of the targets that can be affected is the WHO's End TB Strategy goal to eliminate catastrophic costs of TB-affected households by 2030. Disruptions to TB programs and healthcare services due to COVID-19 could potentially prolong diagnostic delays and worsen TB treatment adherence and outcomes. The economic recession caused by the pandemic could significantly impact household financial capacity because of the reduction of income and the rise in unemployment rates. All of these factors increase the risk of TB incidence and the gravity of economic impact on TB-affected households, and hamper efforts to eliminate catastrophic costs and control TB. Therefore, efforts to eliminate the incidence of TB-affected households facing catastrophic costs will be very challenging. Because financial constraint plays a significant role in TB control, the improvement of health and social protection systems is critical. Even before the pandemic, many TB-high-burden countries (HBCs) lacked robust health and social protection systems. These challenges highlight the substantial need for a more robust engagement of patients and civil society organizations and international support in addressing the consequences of COVID-19 on the control of TB.

Patient pathways and delays to diagnosis and treatment of tuberculosis in an urban setting in Indonesia

Background

Understanding patient pathways can help align patient preferences and tuberculosis (TB) related services. We investigated patient pathways, and diagnostic and treatment delays among TB patients in Indonesia, which has one of the highest proportions of non-notified TB cases globally.

Methods

We conducted a study of TB patients recruited from Community Health Centers (CHCs), public and private hospitals, and private practitioners from 2017 to 2019 in Bandung City, regarding general characteristics and symptoms, and health-seeking, diagnostic and treatment pathways.

Findings

We recruited 414 TB patients: 138 (33%) in CHCs, 210 (51%) in hospitals, 66 (20%) in private practitioners. Most patients (74·6%) first sought care at an informal or private provider and experienced a complex pathway visiting both public and private providers to obtain a diagnosis. The median number of health provider visits pre-diagnosis was 6 (IQR 4–8). From start of symptoms, it took a median 30 days (IQR 14–61) to present to a health provider, 62 days (IQR 35–113) to reach a TB diagnosis, and 65 days (IQR 37–119) to start treatment. Patient delay was longer among male, lowly-educated and uninsured individuals. There were longer diagnostic delays among uninsured individuals, those who initially visited private providers, and those with multiple visits prior to diagnosis. Longer treatment delays were found in those with multiple pre-diagnosis visits or diagnosed by private practitioners.

Interpretation

Patient pathways in Indonesia are complex, involving the public and private sector, with multiple visits and long delays, especially to diagnosis. A widely available accurate diagnostic test for TB could have a dramatic effect on reducing delays, onward transmission and mortality.

Funding

This project was funded by the Partnership for Enhanced Engagement in Research (PEER) grant under Prime Agreement Number AID-OAA-A-11–00,012 by National Academy of Sciences (NAS); the United States Agency for International Development (USAID); University of Otago, New Zealand, and the Indonesian Endowment Fund for Education (LPDP).