A mixed methods evaluation of a differentiated care model piloted for TB care in south India.

Background: India's National TB Elimination Program emphasizes patient-centered care to improve TB treatment outcomes. We describe the lessons learned from the implementation of a differentiated care model for TB care among individuals diagnosed with active TB. Design and methods: Used mixed methods to pilot the Differentiated Care Model. Community health workers (CHWs) conducted a risk and needs assessment among individuals who were recently began TB treatment. Individuals identified with specific factors that are associated with poor treatment adherence were provided education, counseling, and linked to treatment and support services. Examined changes in TB treatment outcomes between the two cohorts of individuals on TB treatment before and after the intervention. We used qualitative research methods to explore the experiences of patients, family members, and front-line TB workers with the implementation of the DCM pilot. Results: The CHWs were adept at the identification of individuals with risks to non-adherence. However, only a few provided differentiated care, as envisioned. There was no significant change in the TB treatment outcomes between the two cohorts of patients examined. CHWs' ability to provide differentiated care on a scale was limited by the short duration of implementation, their inadequate skills to manage co-morbidities, and the suboptimal support at the field level. Conclusions: It is feasible for a cadre of well-trained front-line workers, mentored and supported by counselors and doctors, to provide differentiated care to those at risk for unfavorable TB treatment outcomes. However, differentiated care must be implemented on a scale for a duration that allows a change from the conventional practice of front-line workers, in order to influence the outcomes of population-level TB treatment.

Tuberculosis treatment outcomes and patient support groups, southern India.

Objective: To assess treatment outcomes in tuberculosis patients participating in support group meetings in five districts of Karnataka and Telangana states in southern India. Methods: Tuberculosis patients from five selected districts who began treatment in 2019 were offered regular monthly support group meetings, with a focus on patients in urban slum areas with risk factors for adverse outcomes. We tracked the patients' participation in these meetings and extracted treatment outcomes from the Nikshay national tuberculosis database for the same patients in 2021. We compared treatment outcomes based on attendance of the support groups meetings. Findings: Of 30 706 tuberculosis patients who started treatment in 2019, 3651 (11.9%) attended support groups meetings. Of patients who attended at least one support meeting, 94.1% (3426/3639) had successful treatment outcomes versus 88.2% (23 745/26 922) of patients who did not attend meetings (adjusted odds ratio, aOR: 2.44; 95% confidence interval, CI: 2.10-2.82). The odds of successful treatment outcomes were higher in meeting participants than non-participants for all variables examined including: age ≥ 60 years (aOR: 3.19; 95% CI: 2.26-4.51); female sex (aOR: 3.33; 95% CI: 2.46-4.50); diabetes comorbidity (aOR: 3.03; 95% CI: 1.91-4.81); human immunodeficiency virus infection (aOR: 3.73; 95% CI: 1.76-7.93); tuberculosis retreatment (aOR: 1.69; 1.22-2.33); and drug-resistant tuberculosis (aOR: 1.93; 95% CI: 1.21-3.09). Conclusion: Participation in support groups for tuberculosis patients was significantly associated with successful tuberculosis treatment outcomes, especially among high-risk groups. Expanding access to support groups could improve tuberculosis treatment outcomes at the population level.

Estimating the burden of pediatric HIV in an 'A' category district in India: an epidemiological study.

BACKGROUND: India lacks epidemiological information on the disease burden of pediatric HIV. The National AIDS Control Program (NACP) estimates the numbers of HIV-positive children as a proportion of adult persons living with HIV. A third of HIV-positive children die before their first birthday and a half before they reach their second birthday. The early detection of HIV is crucial for the prevention of morbidities, growth delays, and death among HIV-positive children. METHODS: The study aimed to estimate the disease burden of pediatric HIV among children in 'A' category district of a high HIV prevalence state. An 'A' category district is defined by the presence of > 1% HIV prevalence among the general population, as estimated by HIV Sentinel Surveillance. The study used an innovative three-pronged strategy combining cross-sectional and longitudinal methods. The overall burden of pediatric HIV was calculated as a product of cases detected multiplied by a net inflation factor, for each of three strategies. RESULTS: The existing pool of HIV infection in the district is estimated to be 3266 (95% CI: 2621-4197) HIV positive children < 15 years of age, in a mid-year (2013) projected child population of about 1.4 million, thus giving an HIV prevalence of 0.23% (CI: 0.19-0.30) among children (0-14 years of age). The proportion of children among all people living with HIV in the district works out to 10.4% (CI: 8.6-13.5%). CONCLUSIONS: The study estimate of 0.23% HIV prevalence among children (0-14 years of age) is higher than the NACP estimates (0.02) and is 2.5 higher than the Karnataka state estimate (0.09)22. Similarly, the proportion of children among all persons living with HIV in Belgaum district is 10.4% in this study, as against 6.54% for India. The study methodology is replicable for other settings and other diseases.

Community health workers augment the cascade of TB detection to care in urban slums of two metro cities in India.

BACKGROUND: Tuberculosis Health Action Learning Initiative (THALI) funded by USAID is a person-centered initiative, supporting vulnerable urban populations to gain access to TB services. THALI trained and placed 112 Community health workers (CHWs) to detect and support individuals with TB symptoms or disease within urban slums in two cities, Hyderabad and Bengaluru, covering a population of about 3 million. METHODS: CHWs visited the slums once in a fortnight. They conducted TB awareness activities. They referred individuals with TB symptoms for sputum testing to nearest public sector laboratories. They visited those testing TB positive, once a fortnight in the intensive phase, and once a month thereafter. They supported TB patients and families with counselling, contact screening and social scheme linkages. They complemented the shortfall in urban TB government field staff numbers and their capacity to engage with TB patients. Data on CHWs' patient referral for TB diagnosis and treatment support activities was entered into a database and analyzed to examine CHWs' role in the cascade of TB care. We compared achievements of six monthly referral cohorts from September 2016 to February 2019. RESULTS: Overall, 31 617 (approximately 1%) of slum population were identified as TB symptomatic and referred for diagnosis. Among the referred persons, 23 976 (76%) underwent testing of which 3841 (16%) were TB positive. Overall, 3812 (99%) were initiated on treatment and 2760 (72%) agreed for regular follow up by the CHWs. Fifty-seven percent of 2952 referred were tested in the first cohort, against 86% of 8315 in the last cohort. The annualized case detection rate through CHW referrals in Bengaluru increased from 5.5 to 52.0 per 100 000 during the period, while in Hyderabad it was 35.4 initially and increased up to 118.9 per 100 000 persons. The treatment success rate was 87.1% among 193 in the first cohort vs 91.3% among 677 in the last cohort. CONCLUSIONS: CHWs in urban slums augment TB detection to care cascade. Their performance and TB treatment outcomes improve over time. It would be important to examine the cost per TB case detected and successfully treated.

Modified Integrated Algorithm for Detection of HIV Among Sick Children Aged 0-14 Year Seeking Care at Healthcare Facilities in India.

OBJECTIVE: To test the ability and to identify unique criteria in a Modified Integrated Algorithm developed by Indian Council of Medical Research (ICMR) to detect HIV infection among sick children 0 to 14 years, seeking care in a health care facility. DESIGN: Facility based cross-sectional survey. SETTING: Four talukas of Belgaum District, Karnataka, India during 2013-2014. PATIENTS: Sick children 0-14 years seeking care at healthcare facilities in the study area. PROCEDURE: A total of 10 health care facilities were selected using specific criteria. Trained health care providers in these facilities used the WHO generic Integrated Management of Childhood Illnesses screening algorithm for HIV, applicable for children to 0-5 years and ICMR modified integrated algorithm for >5-14 years, to screen and test children for HIV, when they sought care in these facilities. MAIN OUTCOME MEASURE: Prevalence of HIV in children screened positive by the Modified Integrated Algorithm. RESULTS: Of the total 33342 children who visited the 10 health care facilities, 24342 were screened by the physician. Of the 527 screened positive sick children with suspected signs/ symptoms, 509 consented and were tested with age appropriate HIV testing. 97 children tested positive (HIV prevalence 19.1%: 5% in <5yrs and 28% in ≥5-14 years). The result of Classification and Regression Tree and logistics regression consistently identified parents with HIV and orphan child, as important predictor of HIV infection. CONCLUSIONS: ICMR Modified integrated algorithm may be used as a screening tool in the public and private health care facilities to increase case detection of pediatric HIV.

Is a differentiated care model needed for patients with TB? A cohort analysis of risk factors contributing to unfavourable outcomes among TB patients in two states in South India.

BACKGROUND: TB is a preventable and treatable disease. Yet, successful treatment outcomes at desired levels are elusive in many national TB programs, including India. We aim to identify risk factors for unfavourable outcomes to TB treatment, in order to subsequently design a care model that would improve treatment outcomes among these at-risk patients. METHODS: We conducted a cohort analysis among TB patients who had been recently initiated on treatment. The study was part of the internal program evaluation of a USAID-THALI project, implemented in select towns/cities of Karnataka and Telangana, south India. Community Health Workers (CHWs) under the project, used a pre-designed tool to assess TB patients for potential risks of an unfavourable outcome. CHWs followed up this cohort of patients until treatment outcomes were declared. We extracted treatment outcomes from patient's follow-up data and from the Nikshay portal. The specific cohort of patients included in our study were those whose risk was assessed during July and September, 2018, subsequent to conceptualisation, tool finalisation and CHW training. We used bivariate and multivariate logistic regression to assess each of the individual and combined risks against unfavourable outcomes; death alone, or death, lost to follow up and treatment failure, combined as 'unfavourable outcome'. RESULTS: A significantly higher likelihood of death and experiencing unfavourable outcome was observed for individuals having more than one risk (AOR: 4.19; 95% CI: 2.47-7.11 for death; AOR 2.21; 95% CI: 1.56-3.12 for unfavourable outcome) or only one risk (AOR: 3.28; 95% CI: 2.11-5.10 for death; AOR 1.71; 95% CI: 1.29-2.26 for unfavourable outcome) as compared to TB patients with no identified risk. Male, a lower education status, an initial weight below the national median weight, co-existing HIV, previous history of treatment, drug-resistant TB, and regular alcohol use had significantly higher odds of death and unfavourable outcome, while age > 60 was only associated with higher odds of death. CONCLUSION: A rapid risk assessment at treatment initiation can identify factors that are associated with unfavourable outcomes. TB programs could intensify care and support to these patients, in order to optimise treatment outcomes among TB patients.

Incidence, prevalence and associated factors of mother-to-child transmission of HIV, among children exposed to maternal HIV, in Belgaum district, Karnataka, India.

BACKGROUND: India lacks data on the incidence of Paediatric HIV. In 2010, the Indian Council of Medical Research commissioned a task force study to estimate the paediatric HIV burden in Belgaum district, Karnataka, India. We estimated the HIV incidence, prevalence and associated risk factors of mother to child transmission of HIV among children exposed to maternal HIV by age 24 months. METHODS: We included Belgaum resident pregnant women who tested HIV positive between January 1st, 2011 and May 31st, 2013 and who provided consent. Their babies were tested for HIV at three time intervals using DNA PCR dry blood spot (DBS) method at 6-10 weeks and 6-9 months, and using Antibody tests at 18-24 months of age. We estimated cumulative incidence using survival analysis that considered censoring of cases and prevalence rates of HIV by age 24 months. Using competing-risk survival regression model, we examined the correlates of transmission of HIV among babies exposed to maternal HIV. RESULTS: Among 487 children of HIV positive mothers recruited in the study, the cumulative incidence rate by 24 months of age was 4.8 per 1000 person months [95% CI: 3.5-6.6]. The HIV prevalence rate among babies exposed to maternal HIV until 24 months was 7.8% [95% CI: 5.7-10.7]. Mother's age above 30 years, and breastfeeding duration of more than six months were factors that significantly increased the HIV transmission; adjusted hazard ratio (AHR) 6.98 [95% CI: 1.73-28.16] and 5.28 [95% CI, 1.75-15.90], respectively. The risk of MTCT was significantly reduced if both mother and baby had received Nevirapine at delivery [AHR 0.25; 95%CI: 0.10-0.61] and if either mother or baby had been given Nevirapine at delivery [AHR 0.12; 95%CI: 0.03-0.49]. CONCLUSION: The study findings suggest that mother's age above 30 years and breastfeeding beyond 26 weeks is associated with higher rates of HIV transmission from mother to child. It confirms the benefits of providing anti-retrovirals (Nevirapine) in reducing mother to child transmission of HIV. Effective strategies to promote safe infant feeding practices, including avoidance of mixed feeding beyond 26 weeks among HIV infected mothers, is critical to reduce incidence of paediatric HIV in India.

Influence of integrated community- and facility-based interventions on select maternal and neonatal outcomes in Northern Karnataka, India: Lessons for implementation and measurement.

BACKGROUND: Sukshema project provided technical assistance to National Health Mission of government of Karnataka to improve maternal, newborn and child health (MNCH) outcomes in eight districts of Karnataka between 2009 and 2015. The project designed tools, processes and provided mentoring to frontline workers, community structures, and facilities to improve demand generation and quality of MNCH services. OBJECTIVES: To assess over time changes in selected MNCH care indicators among women who had delivered in the past 2 months in Bagalkot and Koppal districts. METHODS: An innovative strategy was designed to collect routine monitoring data, namely community behavior tracking survey using mobile technology. The catchment area of an Accredited Social Health Activist (ASHA) was the primary sampling unit, and in each district 200, ASHA areas were selected. Women from these selected ASHA areas were interviewed and information collected on various MNCH care outcomes. Multivariate logistic regression was used to assess changes in selected MNCH care indicators. RESULTS: Gradual increase was noticed in institutional delivery, hospital stay for 48 or more hours, initiation of breastfeeding within 1 hour and continuum of MNCH care. Forty-eight hours stay and initiation of breastfeeding improved marginally possibly due to health systems and cultural norms. CONCLUSIONS: Results indicated that the interventions were successful in changing the critical MNCH care indicators and hence have potential for replication in similar high priority district settings.

Variations in basic demographics consequential to population size of governorate in Saudi Arabia.

Saudi Arabia, divided into 5 planning regions, 13 administrative regions and further to 118 governorates (administrative units), has diverse demographic characteristics from one region to another and from one governorate to another. Rural to urban migration and an exodus of immigrants characterize the Kingdom, where development planning depend largely upon local level requirements based on economic activities. An attempt was made to analyze the population characteristics, such as population size, sex ratio, native to foreigner ratio, and households and persons per households by keeping governorate as unit of analysis. Data of two census period (2004 and 2010) was used in order to explore the situation and track the intercensal changes. Large variations in population were observed between governorates and it varied from 3686 to 5,007,886 in 2010. Governorates are divided according to the number of native population demarcating urbanization, modernization and infrastructure. During the intercensal period, the number of small governorates reduced and medium and large sized governorates increased mainly due to population growth. The average population in governorates was increased in total and in the larger governorates during the period. However, we noticed a reduction in the average population size in the small and medium sized governorates. The size of native population in a governorate influences the sex ratio, the native-foreigner ratio and the persons per household as well as the variations within the group of governorates. Analyses of lower level data shall aid not only to understand the situation but also to support local development policies.