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1.
Indian J Community Med ; 43(3): 185-189, 2018.
Article in English | MEDLINE | ID: mdl-30294085

ABSTRACT

BACKGROUND: Tuberculosis (TB) is first opportunistic infection and leading cause of death among human immunodeficiency virus (HIV)/AIDS. Certainly, the prevalence of TB is expected to differ between general population and HIV-infected persons. This study was conducted to determine the prevalence of TB among newly diagnosed HIV-infected adults attending antiretroviral therapy (ART) center in the state of Gujarat, India. MATERIALS AND METHODS: Cross-sectional study was carried out among newly diagnosed HIV-infected persons attending ART center from July 2012 to September 2012. Screening of TB symptoms and chest X-ray was done for those who consented. Sputum samples were collected for microscopy with Ziehl-Neelsen method for all presumptive TB cases and those diagnosed as pulmonary TB, culture, and drug susceptibility test was done. Blood samples were collected for CD4+ T-cells count and hemoglobin. RESULTS: Out of 2021 eligible HIV-infected persons, 63.5% were males and 68.2% were in the age group of 26-45 years. The prevalence of TB was 17.8%. Among 360 patients with TB, 102 (28%) had smear positive TB, 86 (24%) had smear-negative TB, and 172 (48%) were diagnosed as extrapulmonary TB. Two hundred and thirty-eight (27%) TB patients with CD4+ T-Cell count below 200 compared to 122 (11%) patients above 200. CONCLUSION: A high prevalence of TB was found among newly diagnosed HIV-infected adults attending ART center for care and treatment. The prevalence of pulmonary and extrapulmonary TB was almost equal. Chances of TB disease were more with depletion of CD4 counts. The study highlights urgent need of intensive case finding as well as periodic screening of newly diagnosed HIV-infected individuals.

2.
Glob Health Action ; 11(1): 1438239, 2018.
Article in English | MEDLINE | ID: mdl-29482468

ABSTRACT

BACKGROUND: In 2016, the National AIDS Control Programme (NACP) in Gujarat, India implemented an innovative intervention called 'M-TRACK' (mobile phone reminders once every week for four weeks after diagnosis and electronic patient tracking tool) to reduce pre-treatment loss to follow-up (LFU) among people living with HIV (PLHIV) in Vadodara district while other districts received standard of care. OBJECTIVES: To assess the effectiveness of M-TRACK in reducing pre-treatment LFU (proportion of diagnosed PLHIV not registering for HIV care by four weeks after diagnosis) and to explore the implementation enablers and challenges from health care providers' and PLHIV perspective. METHODS: An explanatory mixed-methods study design was used wherein the quantitative phase (cohort study with two groups: Vadodara district exposed to M-TRACK and Rajkot district as unexposed) was followed by a qualitative phase (descriptive study involving group interview with 16 health care providers, personal interviews with two programme managers and telephonic interviews with 16 PLHIV). Data were collected during October 2016 to February 2017. RESULTS: During the pre-M-TRACK period (July-September 2016), the LFU proportion was similar [13% (25/191) in Vadodara; 15% (21/141) in Rajkot (p = 0.8)]. During the M-TRACK period (October-December 2016), LFU decreased to 4% (9/209) in Vadodara (exposed), whereas it remained similar at 16% (18/113) in Rajkot (unexposed) district (p = 0.02). PLHIV exposed to M-TRACK had an 80% lower risk of LFU (aRR 0.2; 95% CI: 0.1-0.5) compared with standard care, after adjusting for socio-demographics, time and clustering at district level. During interviews, M-TRACK was welcomed by both PLHIV and the counsellors. The latter felt it saved time by obviating the need for home visits and helped in documentation. Inconvenience of using landline phone available at the health facility, lack of budgets for reimbursement of mobile call expenses and internet connectivity problems were the key implementation challenges. CONCLUSION: M-TRACK was highly effective in reducing the gap between diagnosis and treatment. It may be considered for scale-up after addressing the challenges noted.


Subject(s)
Cell Phone , HIV Infections/therapy , Reminder Systems , Adolescent , Adult , Female , Follow-Up Studies , HIV Infections/diagnosis , Humans , India , Male , Middle Aged , Patient Dropouts , Risk , Socioeconomic Factors , Young Adult
3.
Indian J Community Med ; 42(3): 163-166, 2017.
Article in English | MEDLINE | ID: mdl-28852281

ABSTRACT

INTRODUCTION: All 26 antiretroviral treatment (ART) centers of Gujarat were monitored by Gujarat State AIDS Control Society under the National AIDS Control Program. A comprehensive tool is needed to identify gap in service delivery and to prioritize monitoring visits. OBJECTIVES: To supplement the existing monitoring system, identify strengths/weakness of ART centers, and give recommendations. METHODOLOGY: Scorecard was developed in spreadsheet format with 17 scoring indicators on monthly base from March 2014 onward. The centers were classified in three color zones: green (score ≥80%), yellow (score <80% and ≥50%), and red (score <50%). Visits were prioritized at centers with more indicators in yellow/red zone. The performance of centers was compared for March 2014 and March 2015. RESULTS: The statistically significant improvement was observed in indicator "ART initiation within 2 months of eligibility," while after removing red zone from analysis, four more indicators named "eligible patients transferred out before ART initiation, general clients started on ART, antenatal women started on ART, and pre-ART follow-up CD4 done" reflect statistically significant improvement. Quadrant analysis was done for some indicators, which provide insight that less number of eligible patients may be a reason for low initiation of ART at one center, and at four other centers, the possible reasons for low retention are high death rate and high lost to follow-up rate. Based on these findings, the recommendations were made to regular mentoring centers, improve coordination between ART center and care and support centers (CSCs), and conduct verbal autopsy. CONCLUSION: Scorecard is a simple and cost-effective tool for monitoring, and by highlighting low-performing indicators, it helps in improving quality of services provided at ART centers.

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