High pre-diagnosis attrition among patients with presumptive MDR-TB: an operational research from Bhopal district, India.

BACKGROUND: Pre-diagnosis attrition needs to be addressed urgently if we are to make progress in improving MDR-TB case detection and achieve universal access to MDR-TB care. We report the pre-diagnosis attrition, along with factors associated, and turnaround times related to the diagnostic pathway among patient with presumptive MDR-TB in Bhopal district, central India (2014). METHODS: Study was conducted under the Revised National Tuberculosis Control Programme setting. It was a retrospective cohort study involving record review of all registered TB cases in Bhopal district that met the presumptive MDR-TB criteria (eligible for DST) in 2014. In quarter 1, Line Probe Assay (LPA) was used if sample was smear/culture positive. Quarter 2 onwards, LPA and Cartridge-based Nucleic Acid Amplification Test (CbNAAT) was used for smear positive and smear negative samples respectively. Pre-diagnosis attrition was defined as failure to undergo DST among patients with presumptive MDR-TB (as defined by the programme). RESULTS: Of 770 patients eligible for DST, 311 underwent DST and 20 patients were diagnosed as having MDR-TB. Pre-diagnosis attrition was 60% (459/770). Among those with pre-diagnosis attrition, 91% (417/459) were not identified as 'presumptive MDR-TB' by the programme. TAT [median (IQR)] to undergo DST after eligibility was 4 (0, 10) days. Attrition was more than 40% across all subgroups. Age more than 64 years; those from a medical college; those eligible in quarter 1; patients with presumptive criteria 'previously treated - recurrent TB', 'treatment after loss-to-follow-up' and 'previously treated-others'; and patients with extra-pulmonary TB were independent risk factors for not undergoing DST. CONCLUSION: High pre-diagnosis attrition was contributed by failure to identify and refer patients. Attrition reduced modestly with time and one factor that might have contributed to this was introduction of CbNAAT in quarter 2 of 2014. General health system strengthening which includes improvement in identification/referral and patient tracking with focus on those with higher risk for not undergoing DST is urgently required.

Isoniazid Preventive Therapy among Children Living with Tuberculosis Patients: Is It Working? A Mixed-Method Study from Bhopal, India.

Objective: We assessed uptake of isoniazid preventive therapy (IPT) among child contacts of smear-positive tuberculosis (TB) patients and its implementation challenges from healthcare providers' and parents' perspectives in Bhopal, India. Methods: A mixed-method study design: quantitative phase (review of programme records and house-to-house survey of smear-positive TB patients) followed by qualitative phase (interviews of healthcare providers and parents). Results: Of 59 child contacts (<6 years) of 129 index patients, 51 were contacted. Among them, 19 of 51 (37%) were screened for TB and one had TB. Only 11 of 50 (22%) children were started and 10 of 50 (20%) completed IPT. Content analysis of interviews revealed lack of awareness, risk perception among parents, cumbersome screening process, isoniazid stock-outs, inadequate knowledge among healthcare providers and poor programmatic monitoring as main barriers to IPT implementation. Conclusion: National TB programme should counsel parents, train healthcare providers, simplify screening procedures, ensure regular drug supply and introduce an indicator to strengthen monitoring and uptake of IPT.

A study of spatial and meteorological determinants of dengue outbreak in Bhopal City in 2014.

BACKGROUND & OBJECTIVES: Dengue epidemics have been linked to various climatic and environmental factors. Dengue cases are often found in clusters; identification of these clusters in early phase of epidemic can help in efficient control by implementing suitable public health interventions. In year 2014, Bhopal City in Madhya Pradesh, India witnessed an outbreak of dengue with 729 recorded cases. This study reports spatial and meteorological determinants and, demographic and clinical characteristics of the dengue outbreak in Bhopal City. METHODS: A cross-sectional survey of all confirmed cases reported to District Unit of Integrated Disease Surveillance Programme (IDSP), Bhopal was carried out during June to December 2014. Data pertaining to clinical manifestations, health seeking and expenditure were collected by visiting patient's residence. Geographic locations were recorded through GPS enabled mobile phones. Meteorological data was obtained from Indian Meteorological Department website. Multiple linear regression analysis was used to test influence of meteorological variables on number of cases. Clustering was investigated using average nearest neighbour tool and hot-spot analysis or Getis- Ord Gi* statistic was calculated using ArcMap 10. RESULTS: The incidence of confirmed dengue as per IDSP reporting was 38/100,000 population (95% CI, 35.2- 40.7), with at least one case reported from 73 (86%) of the total 85 wards. Diurnal temperature variation, relative humidity and rainfall were found to be statistically significant predictors of number of dengue cases on multiple linear regressions. Statistically significant hot-spots and cold-spots among wards were identified according to dengue case density. INTERPRETATION & CONCLUSION: Seasonal meteorological changes and sustained vector breeding contributed to the dengue epidemic in the post-monsoon period. Cases were found in geographic clusters, and therefore, findings of this study reiterate the importance of spatial analysis for understanding the pace of outbreak and identification of hot-spots.

Risk Factors for Unfavorable Glycemic Control Trajectory in Type-2 Diabetes Mellitus: A Community-based Longitudinal Study in Urbanslums of Central India.

BACKGROUND: Diabetes mellitus (DM) is a chronic disease, which requires optimal glycemic control to prevent its ensuing vascular complications. Pathway to optimal glycemic control in T2DM has a complex socio-behavioral construct, especially in vulnerable populations, like slum dwellers, who have reduced health-care access and lower prioritization of health needs. OBJECTIVE: The study aimed to map trajectories of glycemic control amongst individuals with T2DM living in urban slums and identify key determinants associated with unfavourable glycaemic trajectory. METHODS: This study was a community-based longitudinal study conducted in an urban slum of Bhopal in Central India. Adult patients diagnosed with T2DM and on treatment for more than one year were included. All 326 eligible participants underwent a baseline interview, which captured sociodemographic, personal behavior, medication adherence, morbidity profile, treatment modality, anthropometric and biochemical measurements (HbA1c). Another 6-month follow-up interview was conducted to record anthropometric measurements, HbA1c and treatment modality. Four mixed effect logistic regression models (through theory-driven variable selections) were created with glycemic status as dependent variable and usage of insulin was considered as random effect. RESULTS: A total of 231 (70.9%) individuals had unfavorable glycemic control trajectory (UGCT), and only 95 (29.1%) had a favorable trajectory. Individuals with UGCT were more likely to be women, with lower educational status, non-vegetarian food preference, consumed tobacco, had poor drug adherence, and were on insulin. The most parsimonious model identified female gender (2.44,1.33-4.37), tobacco use (3.80,1.92 to 7.54), and non-vegetarian food preference (2.29,1.27 to 4.13) to be associated with UGCT. Individuals with good medication adherence (0.35,0.13 to 0.95) and higher education status (0.37,0.16 to 0.86) were found to be protective in nature. CONCLUSION: Unfavorable glycemic control trajectory seems to be an inescapable consequence in vulnerable settings. The identified predictors through this longitudinal study may offer a cue for recognizing a rational response at societal level and adopting strategy formulation thereof.

A study of disability and socio-economic impact of mental morbidities from the state of Madhya Pradesh, India.

Background: Disability associated with mental illness has a disproportionate impact on the work, social, and family responsibilities of an individual toward society. The evidence for disability in mental illnesses would help the clinician, caregivers, policymakers, and various stakeholders to come up with sustainable solutions not only to help fill the existing gaps in care but also to develop new avenues as per the specific needs of the population of Madhya Pradesh (MP). Aim: To estimate the burden of disability related to mental illnesses in the state of MP. Materials and Methods: A multi-site cross-sectional study was conducted in 2015-16 as part of National Mental Health Survey among adults above 18 years of age. Samples were selected using multi-stage, stratified, random cluster sampling based on probability proportionate to size. Six tehsils with one urban metro out of four districts from a total of 50 districts were selected in the state of MP. The Sheehan Disability Scale and socio-economic impact of illness (from selected questions from WHO-Disability Assessment Schedule-2.0) were used to assess mental morbidity and the subjective reporting of disability. Results: The weighted prevalence of disability (n = 1011) was found as 10.2%, 13.1%, and 13.9%, respectively, in work/school, social life, and family/home domains. The weighted prevalence of moderate to extreme disability in the same domains was, respectively, 5.1%, 6.7%, and 7.3%. The presence of common mental disorders (CMDs) increases the odds of self-reported disability in work [odds ratio (OR) 2.48, 95% CI 1.35 to 4.59], social life (OR 2.74, 95% CI 1.50 to 5.07), and family domains (OR 3.03, 95% CI1.62 to 5.74). When combined with common mental disorders, tobacco use disorder further escalates the odds of self-reported disability in all three domains [OR 7.10, confidence interval (CI) 3.15 to 16.37; 4.93, CI 2.19 to 11.28; and 7.10, CI 2.78 to 19.25]. Currently, non-working persons had a higher disability in social life and family life domains (P = 0.003 and P = 0.021), respectively. Conclusion: We report a substantial magnitude of disability in social, work, and family life domains. Participants having CMDs, female gender, and those non-working had more disabilities and would require targeted interventions.

Viewpoints from the National Consultation on Addressing Acute Malnutrition on Mainstreaming Community-Based Program for Management of Acute Malnutrition in India.

High burden of acute malnutrition among children less than 5 years is a major public health problem in India. A "Two-days National Consultation on Addressing Acute Malnutrition" was organized to gather experiences and evidence from 13 states of India on prevention and management of acute malnutrition among children and documenting viewpoints from experts and government counterparts on the same. The consultation centered around five key themes of addressing acute malnutrition; 1) capacity building, 2) strengthening screening, 3) nutritional care of wasting, 4) tracking progress, and 5) scale-up. The paper highlights the experiences and key recommendations around the above key themes. It emerged that there is a need to further accelerate the efforts toward strengthening existing platforms and services to address acute malnutrition among children. Regular trainings of the frontline workers, increased convergence, regular monitoring, and continued service delivery during the pandemic should be undertaken for better outcomes.

Predictors of Mortality among Patients Hospitalized with COVID-19 during the First Wave in India: A Multisite Case-Control Study.

Severe acute respiratory syndrome coronavirus 2 disease (COVID-19) has caused more than 6 million deaths globally. Understanding predictors of mortality will help in prioritizing patient care and preventive approaches. This was a multicentric, unmatched, hospital-based case-control study conducted in nine teaching hospitals in India. Cases were microbiologically confirmed COVID-19 patients who died in the hospital during the period of study and controls were microbiologically confirmed COVID-19 patients who were discharged from the same hospital after recovery. Cases were recruited sequentially from March 2020 until December-March 2021. All information regarding cases and controls was extracted retrospectively from the medical records of patients by trained physicians. Univariable and multivariable logistic regression was done to assess the association between various predictor variables and deaths due to COVID-19. A total of 2,431 patients (1,137 cases and 1,294 controls) were included in the study. The mean age of patients was 52.8 years (SD: 16.5 years), and 32.1% were females. Breathlessness was the most common symptom at the time of admission (53.2%). Increasing age (adjusted odds ratio [aOR]: 46-59 years, 3.4 [95% CI: 1.5-7.7]; 60-74 years, 4.1 [95% CI: 1.7-9.5]; and ≥ 75 years, 11.0 [95% CI: 4.0-30.6]); preexisting diabetes mellitus (aOR: 1.9 [95% CI: 1.2-2.9]); malignancy (aOR: 3.1 [95% CI: 1.3-7.8]); pulmonary tuberculosis (aOR: 3.3 [95% CI: 1.2-8.8]); breathlessness at the time of admission (aOR: 2.2 [95% CI: 1.4-3.5]); high quick Sequential Organ Failure Assessment score at the time of admission (aOR: 5.6 [95% CI: 2.7-11.4]); and oxygen saturation < 94% at the time of admission (aOR: 2.5 [95% CI: 1.6-3.9]) were associated with mortality due to COVID-19. These results can be used to prioritize patients who are at increased risk of death and to rationalize therapy to reduce mortality due to COVID-19.

Quality of Life Amongst Multidrug-Resistant TB Patients: An Exploratory Study About Distributive Dimensions and Interactions.

BACKGROUND: Multidrug-resistant (MDR)-TB has emerged as a major challenge to eliminate TB as envisioned at policy level. Distinctive traits associated with the disease such as physical, psychosocial and environmental dimensions may influence the treatment outcome in both directions. Quality of life (QoL) indicators may capture these traits distinctively. OBJECTIVE: To quantify the differential effect of MDR-TB on specific QoL domains, their distributions across the strata and to check for possible interactions. METHOD:  This community-based cross-sectional study was conducted on 98 MDR-TB patients registered in the calendar year 2017 under National Tuberculosis Elimination Programme (NTEP) in a central Indian district using the WHO-QoL BREF Scale by patients in their vicinity. The transformed domain scores were descriptively summarized, stratified and exploratory visualised. Likert mapping for each item was done. A two-way ANOVA test was applied to check differences across strata and interaction effects were calculated. RESULT: Participants perceived a higher QoL in the social domain (median score 69, IQR 56-75) while the psychological health domain (median 31 IQR 20.5-44) was professed as most negotiated by disease. More than 50% of participants were found to be dissatisfied with their assumed physical status in item-wise analysis. A statistically significant interaction (p=0.008) was detected with education strata to income tertile most evident in the physical domain while psychological domain alone (p=0.017) without significant interaction with treatment duration (p=0.316) was associated with the type of TB. Overall QoL scores were tilted in favour of an urban setting, male gender and towards a relatively younger population. CONCLUSION:  The overall deficits in QoL are evident in the study, per se in the psychological and physical domains. Moreover there is an inequitable distribution of these scores as revealed in the study. Inclusion of an additional parameter of periodical QoL assessment may thus predict the outcome at individual level and may address this inequity at policy level.

Association between anthropometric criteria and body composition among children aged 6-59 months with severe acute malnutrition: a cross-sectional assessment from India.

A multicentric study is being conducted in which children with severe acute malnutrition (SAM) aged 6-59 months are identified with only weight-for-height z-score (WHZ) < - 3 criteria. The present study aimed to assess associations of anthropometric parameters and body composition parameters, to improve treatment of SAM. We conducted a cross-section assessment using the enrolment data of children who participated in a multi-centric longitudinal controlled study from five Indian states. Fat-free mass (FFM) and fat mass (FM) were determined by bio-electrical impedance analysis (BIA). Six hundred fifty-nine children were enrolled in the study using WHZ < -3 criteria. Available data shows that WHZ, WAZ and BMIZ were significantly associated with FFMI while MUACZ was significantly associated with both FMI and FFMI. Children with both severe wasting and severe stunting had significantly lower FFMI compared to those who were only severely wasted. All forms of anthropometric deficits appear to adversely impact FFM and FM.Trial registrationThe study is registered with Clinical Trial Registration of India (Registration No.: CTRI/2020/09/028013 dated 24/09/2020).

Data-Driven Monitoring in Community Based Management of Children With Severely Acute Malnutrition (SAM) Using Psychometric Techniques: An Operational Framework.

Background The success of the Community Based Management of Severe Malnutrition (CSAM) programme largely depends on the knowledge and skills of Front-Line Workers (FLWs). A robust supportive supervision system in CSAM should be tailored to individualistic learning needs by distinguishing the FLWs as per their ability and simultaneously identifying the task domains to be emphasized more in supervisory visits. This paper details the ability assessment strategy developed and employed in the selected geographical locations in Madhya Pradesh (Central India) among the 197 Anganwadi workers (FLWs involved in CSAM implementation). Methodology A 25 items tool was developed based on an analytical construct for ability estimation through Rasch Analysis (RA). RA models the probability of right/wrong answers as a function of a person (participants) and item (questions) parameters and calculates the item difficulty in relation to personability on the same unidimensional linear scale. Suitable visualization like item characteristic curve (ICC), person item map (PIM) and quadratic allocation were plotted in RA. The data fitting to the Rasch model (Rasch diagnostic) was tested by numeric (Anderson LR and Wald test) and graphical methods. Results The item easiness parameter (ß) value related to Diarrhoeal assessment was lowest (-2.32, -2.91 to -1.73) and related to peer assessment meaningful action (2.009, 1.669- 2.348)) was highest (most difficult). Anderson LR test (LR=31.32, df=24, p=0.079) showed the absence of global outliers. Quadrant analysis using the permutations of ability score and adjusted burden of malnutrition further mapped 41/197 (20.8%) FLWs to low ability -high burden quadrant and 44/197(25%) as low ability low burden quadrant. Conclusion Rasch assessment may address the innate challenges to maintain homogeneity, discrimination capacity and linearity in a raw score-based measurement construct. The monitoring strategy developed on this thus may offer a judicious, pragmatic and thematic approach to supportive supervision in the CSAM program.

Heterogeneous patterns of COVID-19 transmission in an Urban set up - sero-epidemiological survey data from Ujjain, Madhya Pradesh (a central Indian city).

In the wake of rising number of SARS-CoV-2 cases, the Government of India had placed mass-quarantine measures, termed as "lockdown" measures from end-March 2020. The subsequent phase-wise relaxation from July 2020 led to a surge in the number of cases. This necessitated an understanding of the true burden of SARS-CoV-2 in the community. Consequently, a sero-epidemiological survey was carried out in the central Indian city of Ujjain, Madhya Pradesh. This article details the processes of data acquisition, compilation, handling, and information derivation from the survey. Information on socio-demographic and serological variables were collected from 4,883 participants using a multi-stage stratified random sampling method. Appropriate weightage was calculated for each participant as sampling fraction derived from Primary Sampling Unit (PSU), Secondary Sampling Unit (SSU) and Tertiary Sampling Unit (TSU). The weightage was then applied to the data to adjust the findings at population level. The comprehensive and robust methodology employed here may act as a model for similar future endeavours. At the same time, the dataset can also be relevant for researchers in fields such as data science, epidemiology, virology and earth modelling.

How Healthy Is State Mental Health System in Madhya Pradesh, India? An Assessment of Today to Plan for a Better Tomorrow.

BACKGROUND: Mental illness affects over one-third of the Indian population, and only a little is known about the exact situation of health systems in Madhya Pradesh, India. Therefore, the present research work provides an assessment of state mental health systems in Madhya Pradesh. METHODS: The present cross-sectional study was conducted as a part of National Mental Health Survey 2015-16 in 48 districts of Madhya Pradesh, to provide an overview of the status of mental health systems. Secondary data was also retrieved from the state office so as to present the situational analysis in a more comprehensive and inferential way. The proforma for the study was developed based on the experience gained from studies conducted earlier with World Health Organization's Assessment Instrument for Mental Health Systems (WHO-AIMS) and with WHO's Mental Health Atlas as the base for thematic analysis. RESULTS: Out of 51 districts, 13.7% of the districts of the state have been covered under District Mental Health Program (DMHP) in 2015-16. Around 11.8% of district/general hospitals were involved in providing mental health services. The availability of psychiatrist was 0.05 per Lakh population. Around 0.2% of the total health budget was allocated by the state for the last financial year for mental health. The overall average score of Madhya Pradesh in the assessment of qualitative indicators was 31 out of 100 in the year 2015-16. CONCLUSION: There is huge scope and an urgent need to increase mental healthcare facilities (with upgradation of existing one) along the availability of mental healthcare staff.

Effectiveness of community-based treatment programs for treatment of uncomplicated severe acute malnourished children aged 6-59 months using locally produced nutrient dense foods: protocol for a multicentric longitudinal quasi-experimental study.

BACKGROUND: Severe acute malnutrition (SAM) is a major underlying cause of mortality among children. Around one third of the world's acutely malnourished children live in India. The WHO recommends community-based management of acute malnutrition (CMAM) for managing children with SAM. In India, different states are implementing community-based SAM treatment programme, hereinafter called CSAM, using varieties of locally produced nutrient dense food items with different nutrient compositions. The study will assess the effectiveness of these state specific CSAM interventions. METHODS: The longitudinal quasi-experimental study will be undertaken in two purposively selected blocks of one district each in the four intervention states and one comparison state. From each state, 200 SAM children identified using weight-for-length/height z-score (WHZ) < - 3 criteria will be enrolled in the study. Their anthropometric data and skinfold thickness will be taken on admission, at sixth week and at discharge by trained field investigators. Other child details, incidence of morbidity and socio-economic details will be collected on admission. To assess food consumption pattern including consumption of locally produced nutrient dense food supplements, dietary assessment, using 24-h dietary recall will be conducted on admission, at sixth week and at discharge. In addition, body composition parameters will be assessed for a sub-set of children using bio-electrical impedance analysis on admission and at discharge to analyse changes in total body water, fat-free mass, and fat mass. Post discharge, all study participants will be followed up monthly until 6 months. Atleast 10% of the sample will be checked for quality assessment. The study's primary outcome is cure rate defined as children attaining WHZ ≥ -2. Secondary outcomes include mean weight gain, mean length of stay, body composition parameters, relapse and mortality rates. Additionally, process evaluation and cost effectiveness analysis will be conducted. DISCUSSION: There is a shortage of robust evidence regarding the effectiveness of locally produced nutrient dense food supplements provided as part of the CSAM intervention in India. This study will contribute to evidence on effective strategies to manage children with uncomplicated SAM in India. The study protocol has all necessary ethical approvals. Written informed consent will be obtained from caregivers of the children. TRIAL REGISTRATION: The study is registered with Clinical Trial Registration of India (Registration No.: CTRI/2020/09/028013 ) Date of registration 24/09/2020.

Preparedness of primary health care providers for tobacco cessation - Experiences from a non-communicable disease training program.

BACKGROUND: Tobacco use can lead to tobacco/nicotine dependence and serious health problems. Quitting smoking significantly reduces the risk of developing smoking-related diseases. In a low resource setting like India, the role of primary healthcare providers in tobacco cessation is immense. The current study was conducted with the objective of evaluating the preparedness, knowledge and attitude of the primary healthcare providers in tobacco cessation. METHODS: A cross-sectional study involving 289 trainees taking part in a non-communicable disease training in the calendar year 2015, held at All India Institute of Medical Sciences, Bhopal were interviewed with a close-ended questionnaire on the demographic profile of participants, their preparedness, and current knowledge and attitude related with tobacco cessation activities. RESULTS: Among the 289 trainees, majority of the study participants were staff nurses (54.7%) and medical officers (41.2%) with a mean (± Standard Deviation, range) age of 35 (±10, 22-63) years predominantly from district and sub-district hospitals (52.9%). In total, 86.9% counsel their patients regarding tobacco cessation and 13.1% use nicotine replacement therapy in aiding tobacco cessation. 174 (60.2%) participants received on-job training of various duration on tobacco control, and 96 (33.2%) did not receive any training. Preparedness toward tobacco cessation was present in 15.01% (41) of the study participants. CONCLUSION: The study reveals that the majority of the healthcare providers were not prepared, and only half of the participants had favorable attitudes and practices of delivering tobacco cessation activities.

Descriptive profile of risk factors for cardiovascular diseases using WHO STEP wise approach in Madhya Pradesh.

BACKGROUND: Periodic information on risk factor distribution is critical for public health response for reduction in non-communicable disease (NCDs). For this purpose, the WHO has developed STEPs wise approach. State representative population-based STEPS survey was last conducted in 2007-08 in seven states of In India. Since then no such work has been reported from low ETL states. This survey was carried out to assess the prevalence of risk factors associated with NCDs and the prevalence of NCDs in the low ETL state of Madhya Pradesh using the WHO STEPs approach. METHODS: A total of 5680 persons aged 18-69 years were selected from the state of Madhya Pradesh using multi-stage cluster random sampling. Using the WHO STEPs approach, details were collected on demographics, STEP 1 variables (tobacco consumption, alcohol consumption, physical activity, diet), STEP 2 variables (weight, height, waist circumference, blood pressure) and STEP 3 variables (fasting blood glucose, blood cholesterol). RESULTS: We found that 9.4% individuals smoked tobacco, 15.3% were overweight/obese, 22.3% had hypertension, and 6.8% have diabetes mellitus. As compared to women, men were less likely to be overweight or obese, but more likely to smoke tobacco, and have diabetes mellitus. Hypertension was also more common in men. Overall, about a fourth of all adults had three or more risk factors for cardiovascular disease. CONCLUSION: The survey shows that a large section of the population from Madhya Pradesh is either suffering from NCDs or have risk factors which predispose them to acquire NCDs. This state representative survey provides benchmarking information for behavioural and biological risk factor distribution for recently scaled up National Programme for the Prevention and Control of Cancer, Diabetes, Cardiovascular Diseases, and Stroke (NPCDCS).

Determinants of behavioural and biological risk factors for cardiovascular diseases from state level STEPS survey (2017-19) in Madhya Pradesh.

BACKGROUND: National and statewide assessment of cardiovascular risk factors needs to be conducted periodically in order to inform public health policy and prioritise allocation of funds, especially in LMICs. Although there have been studies from India which have explored the determinants of cardiovascular risk factors, they have mostly been from high epidemiological transition states. The present study assessed the determinants of cardiovascular (CVD) risk factors in a low epidemiological transition state (Madhya Pradesh) using the WHO STEPwise approach to surveillance (STEPS). METHODS: A total of 5,680 persons aged 18-69 years were selected from the state of Madhya Pradesh through multi-stage cluster random sampling. Key CVD risk factors we sought to evaluate were from behavioural (tobacco, alcohol, physical activity, diet) and biological domains (overweight or obese, Hypertension, Diabetes, and Raised serum cholesterol). Key socio-demographic factors of interest were the caste and tribe groups, and rural vs urban location, in addition to known influencers of CVD risk such as age, gender and education level. RESULTS: Those belonging to the scheduled tribes were more at risk of consuming tobacco (OR 2.13 (95% CI [1.52-2.98]), and a diet with less than five servings of fruits and vegetables (OR 2.78 (95% CI [1.06-7.24]), but had had the least risk of physical inactivity (OR 0.31 (95% CI [0.02-0.54]). Residence in a rural area also reduced the odds of physical inactivity (OR 0.65 (95% CI [0.46-0.92])). Lack of formal education was a risk factor for both tobacco consumption and alcohol intake (OR 1.40 (95% CI [1.08-1.82]) for tobacco use; 1.68 (95% CI [1.14-2.49]) for alcohol intake). Those belonging to schedules tribes had much lower risk of being obese (OR 0.25; 95% CI [0.17-0.37]), but were at similar risk of all other clinical CVD risk factors as compared to other caste groups. CONCLUSION: In the current study we explored socio-demographic determinants of behavioural and biological CVD risks, and found that in Madhya Pradesh, belonging to a scheduled tribe or living in a rural location, protects against being physically inactive or being overweight or obese. Increasing age confers a greater CVD-risk in all domains. Being a male, and lack of formal education confers a greater risk for behavioural domains, but not for most clinical risk domains. Future efforts at curbing CVDs should be therefore two pronged -a population-based strategy targeting biological risk factors, and a more focussed approach directed at those displaying risky behaviour.

A population-based analysis of suicidality and its correlates: findings from the National Mental Health Survey of India, 2015-16.

BACKGROUND: India accounts for 18% of the global population and 26·6% of global suicide deaths. However, robust population-based, nationally representative data on suicidality are not readily available to plan and implement suicide prevention programmes in India. We aimed to investigate the prevalence and sociodemographic differentials of suicidality using data from the National Mental Health Survey (NMHS) of India, 2015-16. METHODS: Trained field data collectors from the NMHS obtained information on suicidality (during the past month) from a community sample of adults aged 18 years and older using the suicidality module of the Mini-International Neuropsychiatric Interview (version 6.0). Suicidality was categorised as low, moderate, high, and overall (representing any suicidality), and examined for sociodemographic differentials using normalised sampling weights. For each of the 12 surveyed states, we calculated the age-standardised suicidality prevalence for men and women, men-to-women ratio of weighted suicidality prevalence, ratio of suicidality to suicide deaths, and ratio of suicide attempts to suicide deaths. We used logistic regression analysis to examine the association between sociodemographic factors and overall suicidality and severity. FINDINGS: Among 34 748 participants with complete interviews, 5·1% (95% CI 4·7-5·6) had some level of suicidality, and 0·3% (0·2-0·4) had at least one suicide attempt in the past month. The prevalence of overall suicidality was higher in women (6·0% [5·4-6·6]) than in men (4·1% [3·7-4·6]). The prevalence of overall suicidality was highest in those aged 40-49 years among women and in those aged 60 years or older among men. Compared with their counterparts, individuals with lower educational attainment, individuals residing in urban metropolitan cities, individuals who were widowed, separated, or divorced, and unemployed individuals had a higher prevalence of overall suicidality. The men-to-women ratio of overall suicidality prevalence for India was 0·68 (range 0·55-0·85). For every death by suicide in India, there were more than 200 people with suicidality and more than 15 suicide attempts. We found variations for various severities of suicidality. We found an increased risk for overall suicidality in women versus men (odds ratio [OR] 1·54 [95% CI 1·31-1·81]; p<0·0001) and in individuals residing in urban metropolitan cities versus those residing in rural areas (1·75 [1·30-2·35]; p=0·0002). Individuals belonging to the lowest income quintile (reference group with OR <1·00 and p<0·05 for other income quintiles), those with depressive disorders (28·78 [20·04-41·33]; p<0.0001) and those with alcohol use disorders (6·52 [3·83-11·10]; p<0.0001) had an increased risk for high suicidality, compared with their corresponding counterparts. INTERPRETATION: A national suicide prevention strategy that is comprehensive, using multisectoral approaches, is required to address the prevailing sociodemographic and other risk factors for reducing suicidality and suicide deaths in India. This study also has implications for other low-income and middle-income countries in south Asia, where sociodemographic factors play a crucial role for suicide prevention. FUNDING: Ministry of Health and Family Welfare, Government of India.

The National Mental Health Survey of India (2016): Prevalence, socio-demographic correlates and treatment gap of mental morbidity.

BACKGROUND: Recognizing the need for good quality, scientific and reliable information for strengthening mental health policies and programmes, the National Mental Health Survey (NMHS) of India was implemented by National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, in the year 2015-2016. AIM: To estimate the prevalence, socio-demographic correlates and treatment gap of mental morbidity in a representative population of India. METHODS: NMHS was conducted across 12 Indian states where trained field investigators completed 34,802 interviews using tablet-assisted personal interviews. Eligible study subjects (18+ years) in households were selected by a multi-stage, stratified, random cluster sampling technique. Mental morbidity was assessed using MINI 6. Three-tier data monitoring system was adopted for quality assurance. Weighted and specific prevalence estimates were derived (current and lifetime) for different mental disorders. Mental morbidity was defined as those disorders as per the International Statistical Classification of Diseases, Tenth Revision Diagnostic Criteria for Research (ICD-10 DCR). Multivariate logistic regression was conducted to examine risk for mental morbidity by different socio-demographic factors. Survey was approved by central and state-level institutional ethical committees. RESULTS: The weighted lifetime prevalence of 'any mental morbidity' was estimated at 13.67% (95% confidence interval (CI) = 13.61, 13.73) and current prevalence was 10.56% (95% CI = 10.51, 10.61). Mental and behavioural problems due to psychoactive substance use (F10-F19; 22.44%), mood disorders (F30-F39; 5.61%) and neurotic and stress-related disorders (F40-F48; 3.70%) were the most commonly prevalent mental morbidity in India. The overall prevalence was estimated to be higher among males, middle-aged individuals, in urban-metros, among less educated and in households with lower income. Treatment gap for overall mental morbidity was 84.5%. CONCLUSION: NMHS is the largest reported survey of mental morbidity in India. Survey estimated that nearly 150 million individuals suffer from one or the other mental morbidity in India. This information is to be used for planning, delivery and evaluating mental health programming in the country.

Mental Health Issues in Madhya Pradesh: Insights from National Mental Health Survey of India 2016.

BACKGROUND: About 14% of the global mental health burden is contributed by India. However, there exists a disparity in mental health patterns, utilization, and prioritization among various Indian states. The state of Madhya Pradesh is a low performer among Indian states, ranking lower than the national average on the Human Development Index, Hunger Index, and Gross Domestic Product (GDP). The state also performes poorly on other health-related indicators. Objectives of Study: To estimate the prevalence and patterns of mental illnesses in the state of Madhya Pradesh, India. MATERIAL AND METHODS: This study used the multistage, stratified, random cluster sampling technique, with selection probability proportionate to size at each stage. A total of 3240 individuals 18 years and older were interviewed. The mixed-method study that was employed had both quantitative and qualitative components. The Mini International Neuropsychiatric Interview along with 10 other instruments were used. RESULTS: The overall weighted prevalence for any mental illness was 13.9%, with 16.7% over the lifetime. The treatment gap for all of the mental health problems is very high (91%), along with high suicidal risk and substance use in the state. CONCLUSIONS: This study provides evidence of the huge burden of mental, behavioral, and substance use disorders as well as the treatment gap in Madhya Pradesh. This information is crucial for developing an effective prevention and control strategy. The high treatment gap in the state calls for coordinated efforts from all stakeholders, including policy makers, political leaders, health care professionals, and the society at large to give mental health care its due priority. These findings also highlight the need for multi-pronged interventions rooted in health policy directed at reducing the treatment gap in the short term and disease burden in the long run.