Landscape assessment of the cities in the state of Maharashtra: first step towards air quality management (AQM) and strategic implementation of mitigation plans.

OBJECTIVE OF THE STUDY: This study aims to understand the need for landscape assessment of the 18 non-attainment cities in the state of Maharashtra, to understand and rank the cities according to the need and necessity for strategic implementation of air quality management. This air quality management is a National Clean Air Programme initiative to curb the air pollution level in all the highly polluted Indian cities by 20-30% till 2024. METHODOLOGY: The ranking and selection of the cities consisted of a two-phase approach including (a) desk research and (b) field interventions and stakeholders' consultations. The first phase included (ai) review of 18 non-attainment cities in Maharashtra, (aii) identification of suitable indicators to inform prioritisation during the ranking process, (aiii) data collection and analysis of the indicators and (aiv) the ranking of the 18 non-attainment cities in Maharashtra. The second phase, i.e. field interventions included (bi) Mapping of stakeholders and field visits, (bii) the consultations with the stakeholders, (biii) information and data collection and (biv) ranking and selection of cities. On analysing the score obtained from both the approaches a ranking of all the cities is done accordingly. RESULTS AND DISCUSSION: The screening of cities from the first phase gave a possible list of 8 cities-Aurangabad, Kolhapur, Mumbai, Nagpur, Nashik, Navi Mumbai, Pune, Solapur. Further, the second round of analysis involving field interventions and stakeholder consultations was done within the 8 cities to find out the most suitable list of two to 5 cities. The second research analysis gave Aurangabad, Kolhapur, Mumbai, Navi Mumbai and Pune. A more granular stakeholder consultation resulted in the selection of cities like Navi Mumbai and Pune as the cities where implementation of new strategies seemed feasible. INTERVENTION AND ACTIVITIES: New strategic interventions like (a) strengthen the clean air ecosystem/institutions, (b) air quality monitoring and health impact assessment, and (c) skill development to ensure the long-term sustainability of initiatives planned for the cities.

Multimorbidity matters in low and middle-income countries.

Multimorbidity is a complex challenge affecting individuals, families, caregivers, and health systems worldwide. The burden of multimorbidity is remarkable in low- and middle-income countries (LMICs) given the many existing challenges in these settings. Investigating multimorbidity in LMICs poses many challenges including the different conditions studied, and the restriction of data sources to relatively few countries, limiting comparability and representativeness. This has led to a paucity of evidence on multimorbidity prevalence and trends, disease clusters, and health outcomes, particularly longitudinal outcomes. In this paper, based on our experience of investigating multimorbidity in LMICs contexts, we discuss how the structure of the health system does not favor addressing multimorbidity, and how this is amplified by social and economic disparities and, more recently, by the COVID-19 pandemic. We argue that generating epidemiologic data around multimorbidity with similar methods and definition is essential to improve comparability, guide clinical decision-making and inform policies, research priorities, and local responses. We call for action on policy to refinance and prioritize primary care and integrated care as the center of multimorbidity.

Military Background and Gender Identity in Psychological Assessment Among College Students: Factorial Invariance of the Counseling Center Assessment of Psychological Symptoms-62 (CCAPS-62).

The purpose of this study was to examine the factorial invariance of the Counseling Center Assessment of Psychological Symptoms-62 (CCAPS-62) across military background and gender identity. A sample of 2,208 military students and 2,208 nonmilitary students were chosen from a large database of university and college counseling centers. Using exploratory structural equation modeling, findings suggested the CCAPS-62 is mostly invariant across military background and gender identity. Only three item thresholds appeared to be noninvariant across groups. These results suggest comparisons of scores across military background and gender can be made. Latent mean differences across groups were also examined. After controlling for several background variables, there were some differences between males and females on subscales measuring depression, eating concerns, and generalized anxiety, but no differences between military and nonmilitary students. Implications for practice and future research are discussed.

Nonmedical Factors and Health-Related Quality of Life in CKD in India.

BACKGROUND AND OBJECTIVES: Patient-reported outcomes have gained prominence in the management of chronic noncommunicable diseases. Measurement of health-related quality of life is being increasingly incorporated into medical decision making and health care delivery processes. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: The Indian Chronic Kidney Disease Study is a prospective cohort of participants with mild to moderate CKD. Baseline health-related quality of life scores, determined by the standardized Kidney Disease Quality of Life 36 item instrument, are presented for the inception cohort (n=2919). Scores are presented on five subscales: mental component summary, physical component summary, burden, effect of kidney disease, and symptom and problems; each is scored 0-100. The associations of socioeconomic and clinical parameters with the five subscale scores and lower quality of life (defined as subscale score <1 SD of the sample mean) were examined. The main socioeconomic factors studied were sex, education, occupation, and income. The key medical factors studied were age, eGFR, diabetes, hypertension, and albuminuria. RESULTS: The mean (SD) subscale scores were physical component summary score, 43±9; mental component summary score, 48±10; burden, 61±33; effects, 87±13; and symptoms, 90±20. Among the socioeconomic variables, women, lower education, and lower income were negatively associated with reduced scores across all subscales. For instance, the respective ß-coefficients (SD) for association with the physical component summary subscale were -2.6 (-3.4 to -1.8), -1.5 (-2.2 to -0.7), and -1.6 (-2.7 to -0.5). Medical factors had inconsistent or no association with subscale scores. The quality of life scores also displayed regional variations. CONCLUSIONS: In this first of its kind analysis from India, predominantly socioeconomic factors were associated with quality of life scores in patients with CKD.

Determinants of cost of routine immunization programme in India.

The costs of delivering routine immunization services in India vary widely across facilities, districts and states. Understanding the factors influencing this cost variation could help predict future immunization costs and suggest approaches for improving the efficiency of service provision. We examined determinants of facility cost for immunization services based on a nationally representative sample of sub-centres and primary health centres (99 and 89 facilities, respectively) by regressing logged total facility costs, both including and excluding vaccine cost, against several explanatory variables. We used a multi-level regression model to account for the multi-stage sampling design, including state- and district-levelrandom effects. We found that facility costs were significantly associated with total doses administered, type of facility, salary of the main vaccinator, number of immunization sessions, and the distance of the facility from the nearest cold chain point. Use of pentavalent vaccine by the state was an important determinant of total facility cost including vaccine cost. India is introducing several new vaccines including some supported by Gavi. Therefore, the government will have to ensure that additional resources will be made available after the support from Gavi ceases.

Impact evaluation of a community engagement intervention in improving childhood immunization coverage: a cluster randomized controlled trial in Assam, India.

BACKGROUND: To improve immunization coverage, most interventions that are part of the national immunization program in India address supply-side challenges. But, there is growing evidence that addressing demand-side factors can potentially contribute to improvement in childhood vaccination coverage in low- and middle-income countries. Participatory engagement of communities can address demand-side barriers while also mobilizing the community to advocate for better service delivery. The objective of this study is to evaluate the impact of a novel community engagement approach in improving immunization coverage. In our proposed intervention, we go a step beyond merely engaging the community and strive towards increasing 'ownership' by the communities. METHODS/DESIGN: We adopt a cluster randomized design with two groups to evaluate the intervention in Assam, a state in the northeast region of India. To recruit villages and participants at baseline, we used a two-stage stratified random sampling method. We stratified villages; our unit of randomization, based on census data and randomly selected villages from each of the four strata. At the second-stage, we selected random sub-sample of eligible households (having children in the age group of 6-23 months) from each selected village. The study uses a repeated cross sectional design where we track the same sampled villages but draw independent random samples of households at baseline and endline. Total number of villages required for the study is 180 with 15 eligible HHs from each village. Post-baseline survey, we adopt a stratified randomization strategy to achieve better balance in intervention and control groups, leveraging information from the extensive baseline survey. DISCUSSION: The proposed intervention can help identify barriers to vaccination at the local level and potentially lead to more sustainable solutions over the long term. Our sampling design, sample size calculation, and randomization strategy address internal validity of our evaluation design. We believe that it would allow us to causally relate any observed changes in immunization coverage to the intervention. TRIAL REGISTRATION: The trial has been registered on 7th February, 2017 under the Clinical Trials Registry- India (CTRI), hosted at the ICMR's National Institute of Medical Statistics, having registration number CTRI/2017/02/007792 . This is the original study protocol.

Neighborhood heterogeneity in health and well-being among the elderly in India - Evidence from Study on global AGEing and adult health (SAGE).

We establish a rationale for a multilevel approach in examining health among older adults. Using data on a nationally representative sample of 6560 Indian adults aged 50 years and older, we examine the extent of contextual variation between neighborhoods, after accounting for the compositional effect of individuals' background characteristics, across multiple dimensions of elderly health. The variance apportioned to neighborhoods in null intercept-only models varied widely across different health outcomes examined in the elderly - while neighborhoods accounted for only 4% of the total variation in high blood pressure at exam, 23% of the total variation in self-rated poor quality of life could be attributed to neighborhood-level differences. In models that accounted for state, place of residence, and demographic and socioeconomic characteristics of individuals, the contribution of neighborhood to the total variation for most health outcomes was attenuated (2-11%) but persisted to exist. Our findings underscore the importance of neighborhoods in studying the health and well-being of the elderly in India.

Demand- and supply-side determinants of diphtheria-pertussis-tetanus nonvaccination and dropout in rural India.

BACKGROUND: Although 93% of 12- to 23-month-old children in India receive at least one vaccine, typically Bacillus Calmette-Guérin, only 75% complete the recommended three doses of diphtheria-pertussis-tetanus (DPT, also referred to as DTP) vaccine. Determinants can be different for nonvaccination and dropout but have not been examined in earlier studies. We use the three-dose DPT series as a proxy for the full sequence of recommended childhood vaccines and examine the determinants of DPT nonvaccination and dropout between doses 1 and 3. METHODS: We analyzed data on 75,728 6- to 23-month-old children in villages across India to study demand- and supply-side factors determining nonvaccination with DPT and dropout between DPT doses 1 and 3, using a multilevel approach. Data come from the District Level Household and Facility Survey 3 (2007-08). RESULTS: Individual- and household-level factors were associated with both DPT nonvaccination and dropout between doses 1 and 3. Children whose mothers had no schooling were 2.3 times more likely not to receive any DPT vaccination and 1.5 times more likely to drop out between DPT doses 1 and 3, compared with children whose mothers had 10 or more years of schooling. Although supply-side factors related to availability of public health facilities and immunization-related health workers in villages were not correlated with dropout between DPT doses 1 and 3, children in districts where 46% or more villages had a healthcare subcentre were 1.5 times more likely to receive at least one dose of DPT vaccine compared with children in districts where 30% or fewer villages had subcentres. CONCLUSIONS: Nonvaccination with DPT in India is influenced by village- and district-level contextual factors over and above individuals' background characteristics. Dropout between DPT doses 1 and 3 is associated more strongly with demand-side factors than with village- and district-level supply-side factors.