Needs Assessment for an Information System to Support a TB Control Program in Indonesia

Abstract

Tuberculosis (TB) is still a burden in Indonesia, including in Sukoharjo Regency. The wide gap between the estimated TB cases and those found, and the number of fluctuating cases since 2013 are problems for the Sukoharjo Health Office. Various programs have been created and carried out but Sukoharjo is still ranked low in TB case identification. The aim of this study was to map the information requirements to support the the identification of TB cases by the district health office. This research was a needs assessment, based on the system development life cycle (SDLC) approach. Qualitative data were obtained from in-depth interviews, including with the head of the TB program in the Puskesmas public health center, a TB program supervisor, a head of communicable disease control, a head of disease control, and a head of health systems in Sukoharjo, Central Java, Indonesia. Several programs were identified such as knock-on programs, screening of cross-sectorial TB suspects including Aisyiah TB-HIV care, and strengthening of PISPK (Healthy Indonesia Program With a Family Approach). Strengthening of TB health volunteers was still being carried out, but the achievement of TB screening was still low. Informants were still looking for ways to improve screening for suspected TB. The health agency had not yet developed a decision support system that could be used to help plan TB screening programs, but the health office wanted one to be developed. An information system is needed to help make evidence-based programs to find TB cases.


Keywords: needs assessment, system, TB control, Indonesia

References
[1] Burkot C. New Indonesia data behind rise in global TB cases. 2015;133.

[2] Ministry of Health, Indonesia. Current status of integrated community based TB service delivery and the Global Fund work plan to find missing TB cases. Ministry of Heatlh, Indonesia.

[3] Afrizal SH, Handayani PW, Hidayanto AN, et al. Barriers and challenges to Primary Health Care Information System (PHCIS) adoption from health management perspective: A qualitative study. Informatics Med Unlocked. 2019:100198.

[4] Ramadhani NR. Evaluasi sistem informasi tuberkulosis (SITT) di rumah sakit paru respira yogyakarta dan dinas kesehatan provinsi daerah istimewa yogyakarta dengan metode technology acceptance model (TAM). Universitas Muhammadiyah Surakarta; 2018.

[5] Firmani N. Evaluasi efektifitas penerapan sistem informasi tuberkulosis terpadu (SITT) dengan pendekatan hot fit model di puskesmas se-kota semarang. Universitas Diponegoro, Indonesia; 2015.

[6] Dinkes. Profil kesehatan kabupaten sukoharjo. Sukoharjo; 2018. DOI: 10.1017/CBO9781107415324.004

[7] Assessment CN. Comprehensive needs assessment materials adapted from planning and conducting needs assessments: A practical guide. Archived Information. 2001:1–25.

[8] Barbazette J. What is needs assessment?? Train Needs Assess. 2006:3–14.

[9] Quality improvement & innovation partnership. Needs assessment resource guide. Adv Improv Prim Healthc Ontario. 2009. DOI: 10.1136/bmj.316.7142.1448

[10] Kapadia-Kundu N, Sullivan TM, Safi B, et al. Understanding health information needs and gaps in the health care system in Uttar Pradesh, India. Journal of health communication,. 2012;17:30–45.

[11] Setiyadi NA, Prasetyo SB. Improving the quality of education to face the impact of technology. Purwokerto: Universitas Muhammadiyah Purwokerto; 2013. Development of Surv-TB (Tuberculosis Surveillance Webgis); pp. 343–346.

[12] Wickremasinghe D, Hashmi IE, Schellenberg J, et al. District decision-making for health in low-income settings: A systematic literature review. Health policy and planning. 2016;31:12–24.

[13] World Health Organization. Health information systems development and strengthening: Guidance on needs assessment for national health information systems development.

[14] Lestari T, Graham S, Boogard C Van Den, et al. Bridging the knowledge-practice gap in tuberculosis contact management in a high-burden setting: A mixed-methods protocol for a multicenter health system strengthening study. 2019:1–15.