Evidence map›Paper›PMID 36581907›Full record

ReviewBMC infectious diseases2022

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

Reshu Agarwal, Upasna Agarwal, Chinmoyee Das, Ramesh Allam Reddy, Rashmi Pant, Christine Ho, B Ravi Kumar, Vandana Dabla, Patrick K Moonan, Melissa Nyendak and 6 more

Abstract readReview
In one paragraph

Review in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Reshu AgarwalDivision of Global HIV and Tuberculosis, U.S. Centers for Disease Control and Prevention (CDC), New Delhi, India. ragarwal@cdc.gov.ORCID http://orcid.org/0000-0001-9422-3560
Upasna AgarwalNational Institute of Tuberculosis and Respiratory Diseases, New Delhi, India.
Chinmoyee DasNational AIDS Control Organization, MoHFW, New Delhi, India.
Ramesh Allam ReddyDivision of Global HIV and Tuberculosis, U.S. Centers for Disease Control and Prevention (CDC), New Delhi, India.
Rashmi PantSociety for Health Allied Research and Education India, Hyderabad, India.
Christine HoDivision of Global HIV and Tuberculosis, U.S. Centers for Disease Control and Prevention (CDC), New Delhi, India.
B Ravi KumarSociety for Health Allied Research and Education India, Hyderabad, India.
Vandana DablaSociety for Health Allied Research and Education India, Hyderabad, India.
Patrick K MoonanU.S. Centers for Disease Control and Prevention (CDC), Atlanta, India.
Melissa NyendakDivision of Global HIV and Tuberculosis, U.S. Centers for Disease Control and Prevention (CDC), New Delhi, India.
Sunil AnandECHO India, New Delhi, India.
Anoop Kumar PuriNational AIDS Control Organization, MoHFW, New Delhi, India.
Sanjay K MattooCentral TB Division, MoHFW, New Delhi, India.
Kuldeep Singh SachdevaCentral TB Division, MoHFW, New Delhi, India.
Vijay V YeldandiSociety for Health Allied Research and Education India, Hyderabad, India.
Rohit SarinNational Institute of Tuberculosis and Respiratory Diseases, New Delhi, India.

Funding

CDC HHS 001346
6 · The paper itself

Abstract

backgroundCo-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).

methodsWe 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.

resultsBetween 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).

conclusionCase-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.

Indexed as

Computer-Assisted InstructionHIV InfectionsGovernmentHumansIndiaLearningCapacity buildingCase-based e-learningCommunities of practiceECHOHIV-TBIntegrated care

Identifiers

PMID36581907
PMCPMC9798943

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.