Building communities of practice through case-based e-learning to prevent and manage TB among people living with HIV-India.

Autor: Agarwal R; Division of Global HIV and Tuberculosis, U.S. Centers for Disease Control and Prevention (CDC), New Delhi, India. ragarwal@cdc.gov., Agarwal U; National Institute of Tuberculosis and Respiratory Diseases, New Delhi, India., Das C; National AIDS Control Organization, MoHFW, New Delhi, India., Reddy RA; Division of Global HIV and Tuberculosis, U.S. Centers for Disease Control and Prevention (CDC), New Delhi, India., Pant R; Society for Health Allied Research and Education India, Hyderabad, India., Ho C; Division of Global HIV and Tuberculosis, U.S. Centers for Disease Control and Prevention (CDC), New Delhi, India., Kumar BR; Society for Health Allied Research and Education India, Hyderabad, India., Dabla V; Society for Health Allied Research and Education India, Hyderabad, India., Moonan PK; U.S. Centers for Disease Control and Prevention (CDC), Atlanta, India., Nyendak M; Division of Global HIV and Tuberculosis, U.S. Centers for Disease Control and Prevention (CDC), New Delhi, India., Anand S; ECHO India, New Delhi, India., Puri AK; National AIDS Control Organization, MoHFW, New Delhi, India., Mattoo SK; Central TB Division, MoHFW, New Delhi, India., Sachdeva KS; Central TB Division, MoHFW, New Delhi, India., Yeldandi VV; Society for Health Allied Research and Education India, Hyderabad, India., Sarin R; National Institute of Tuberculosis and Respiratory Diseases, New Delhi, India.
Jazyk: angličtina
Zdroj: BMC infectious diseases [BMC Infect Dis] 2022 Dec 29; Vol. 22 (1), pp. 967. Date of Electronic Publication: 2022 Dec 29.
DOI: 10.1186/s12879-022-07957-4
Abstrakt: Background: Co-management of HIV-TB coinfection remains a challenge globally. Addressing TB among people living with HIV (PLHIV) is a key priority for the Government of India (GoI). In 2016, GoI implemented single-window services to prevent and manage TB in PLHIV. To strengthen HIV-TB service delivery, case-based e-learning was introduced to health care providers at Antiretroviral Therapy centres (ARTc).
Methods: We implemented a hub and spoke model to deliver biweekly, virtual, case-based e-learning at select ARTc (n = 115), from four states of India-Delhi, Uttar Pradesh, Andhra Pradesh and Tamil Nadu. We evaluated feasibility and acceptability of case-based e-learning and its impact on professional satisfaction, self-efficacy, knowledge retention using baseline and completion surveys, session feedback, pre-and post-session assessments. We reviewed routine programmatic data and patient outcomes to assess practices among participating ARTc.
Results: Between May 2018 and September 2020, 59 sessions were conducted with mean participation of 55 spokes and 152 participants. For 95% and 88% of sessions ≥ 80% of respondents agreed that topics were clear and relevant to practice, and duration of session was appropriate, respectively. Session participants significantly improved in perceived knowledge, skills and competencies (+ 8.6%; p = 0.025), and technical knowledge (+ 18.3%; p = 0.04) from baseline. Participating ARTc increased TB screening (+ 4.2%, p < 0.0001), TB diagnosis (+ 2.7%, p < 0.0001), ART initiation (+ 4.3%, p < 0.0001) and TB preventive treatment completion (+ 5.2%, p < 0.0001).
Conclusion: Case-based e-learning is an acceptable and effective modus of capacity building and developing communities of practice to strengthen integrated care. E-learning could address demand for accessible and sustainable continuing professional education to manage complex diseases, and thereby enhance health equity. We recommend expansion of this initiative across the country for management of co-morbidities as well as other communicable and non-communicable diseases to augment the existing capacity building interventions by provide continued learning and routine mentorship through communities of practice.
(© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)
Databáze: MEDLINE
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