Digital Health to Strengthen District-Based Public-Private Mix Tuberculosis Control in Purwakarta District, Indonesia: A Qualitative Research.

This study aimed to explore the problem that occurs in district-based public-private mix tuberculosis (DPPM TB) in the Purwakarta district, and how digital health can help overcome this problem. This study used a qualitative research design. By purposive sampling, 46 informants were selected to be interviewed and 9 informants participated in focus group discussion. Data were collected during January to November 2020 and analyzed using the content analysis technique. Trustworthiness is obtained through the triangulation method and peer debriefing. The problems identified in public and private partnership were the lack of communication and awareness, the under-reporting of TB cases in the private health sector, and the limitation of the existing information system. Communication is important in delivering information about a tuberculosis program, patient referrals, and contact investigation; therefore, digital health is considered as a potential strategy to facilitate that. Digital health must consider ethical issues, avoid redundancy, be user-friendly, and include intervention packages. We conclude that the lack of communication between the public and the private health sectors in TB control was a major problem in DPPM TB. Digital health is needed to ensure the flow of information and communication between the public and the private health sectors.

The Magnitude of Anxiety and Depressive Symptoms Among Tuberculosis Patients in Community Health Centers Setting During the Peak of COVID-19 Pandemic.

Background: Mental health problems can occur in patients with chronic diseases such as tuberculosis, and the stress of a pandemic exacerbates the condition. The study aims to explore the magnitude of anxiety and depressive symptoms in tuberculosis (TB) patients in community health centers (CHCs) settings during the COVID-19 pandemic. Methods: The study design was quantitative and cross-sectional. Subjects were TB patients who were recruited from TB services by doctors in CHCs. TB patients (n=74) were screened for anxiety and depressive symptoms over 4 months. Screening results are uploaded on a cloud-based digital platform and analyzed. Non-TB patients, as a comparison, were recruited and screened from the same cloud-based digital platform (n=245) during the same period. Analysis was carried out using Rasch modeling for data transformation. Data was analyzed then for frequency distribution for both groups and the logistic binaries to measure the burden of the mixed anxiety and depressive symptoms among the TB patient age's sub-group. Results: In both groups, there were 48.9% of mild, moderate, and severe categories of anxiety and 63.9% of depressive symptoms. In the TB-patients group, anxiety occurred at 48.7%, of which 23% were in the moderate and severe categories, compared to 13.4% for non-TB patients. Depressive symptoms were present in 71.6% of the TB patient group, of which 28.4% were in the moderate and severe categories, compared to 15.5% of non-TB patients. TB patients aged less than 20 years experienced moderate-severe anxiety with depressive symptoms simultaneously (mixed) as much as 16.3% or 4.6 times more than those aged over 20 years (p<0.05). Conclusion: Moderate and severe anxiety and depressive symptoms were shown higher in the TB patients' group. Adolescents with TB are more susceptible to mental and emotional disorders.

Initiating a district-based public-private mix to overcome tuberculosis missing cases in Indonesia: readiness to engage.

BACKGROUND: District-based public-private mix (DPPM) is a variant of a relatively new PPM strategy of addressing missing cases in the tuberculosis (TB) care cascade in Indonesia. We aimed to determine the readiness of various stakeholders to engage in implementing the DPPM strategy. METHODS: The research design was sequential exploratory mixed methods. A qualitative study in the first stage was carried out through in-depth interviews, FGD and study documents. Data were analyzed through coding, categorizing, pattern matching and theorizing. The second stage was a survey conducted using instruments built in the first stage. Data were analyzed using Rasch modeling and logistic regression. RESULTS: District TB case detection rate (CDR) has improved from 35% (2018) to 104% (2019). The contribution of private hospitals has increased considerably. However, there were almost none from the private primary healthcare facilities. The substantive theory generated indicates that awareness and concern of the TB problem, TB program comprehension and involvement, and institutional support are behind the readiness of facilities to engage the TB program (the readiness to engage). The measurement results indicate the significant correlation of all dimensions on readiness to engage. Concern of the TB problem and institutional support are variables that influence readiness to engage (p < 0.05). CONCLUSIONS: Engaging private and public facility stakeholders is a challenge for local government. Intervention is through a personalized approach, encourages institutional support of health facilities for the TB program and system approach.