Common mental disorders among adolescents in an urban area of Delhi.

Background: Common mental disorders (CMDs) among adolescents may hamper their psycho-social development. Aim: This study evaluated the prevalence and determinants of CMD like depression and anxiety among late adolescents of an age of 15--19 years residing in an urban resettlement colony of southeast Delhi. Methods: A community-based cross-sectional study was carried out among 556 randomly selected adolescents. CMD was assessed using Mini International Neuropsychiatry Interview - Kid version 6 (MINI-Kid) based on DSM-IV TR and compliant with ICD-10 definitions of CMD. The associated risk factors were studied using a self-developed semi-structured interview schedule and analyzed using multi-variable logistic regression. Results: A total of 491 adolescents were interviewed (a response rate of 88.3%), of whom 247 (50.3%) were female and 210 (42.8%) belonged to a lower-middle socio-economic status. The lifetime prevalence of CMD was 34% [95% confidence interval (CI): 29.8-38.2]. Of the total, 22.4% (95% CI: 18.7-6.1) of the participants reported depression and 6.7% (95% CI: 4.5-8.9) reported generalized anxiety disorder during their lifetime. Female sex [adjusted odds ratio (aOR) 2.1, 95% CI: 1.4-2.2], experiencing a stressful event in the past 6 months (aOR 4.7, 95% CI: 3.1-7.3), and smoking tobacco (aOR 2.0, 95% CI: 1.2-7.4) significantly increased the odds of having CMD in multi-variate analysis. Conclusion: There is a high prevalence of CMD among adolescents residing in urban resettlement colonies of Delhi, which is composed mostly of people belonging to lower socio-economic strata. Hence, tailored intervention at stress management with promotion of healthy lifestyle is needed for this age group.

Construction and validation of a covariate-based model for district-level estimation of excess deaths due to COVID-19 in India.

Background: Different statistical approaches for estimating excess deaths due to coronavirus disease 2019 (COVID-19) pandemic have led to varying estimates. In this study, we developed and validated a covariate-based model (CBM) with imputation for prediction of district-level excess deaths in India. Methods: We used data extracted from deaths registered under the Civil Registration System for 2015-19 for 684 of 713 districts in India to estimate expected deaths for 2020 through a negative binomial regression model (NBRM) and to calculate excess observed deaths. Specifically, we used 15 covariates across four domains (state, health system, population, COVID-19) in a zero inflated NBRM to identify covariates significantly (P < 0.05) associated with excess deaths estimate in 460 districts. We then validated this CBM in 140 districts by comparing predicted and estimated excess. For 84 districts with missing covariates, we validated the imputation with CBM by comparing estimated with predicted excess deaths. We imputed covariate data to predict excess deaths for 29 districts which did not have data on deaths. Results: The share of elderly and urban population, the under-five mortality rate, prevalence of diabetes, and bed availability were significantly associated with estimated excess deaths and were used for CBM. The mean of the CBM-predicted excess deaths per district (x̄ = 989, standard deviation (SD) = 1588) was not significantly different from the estimated one (x̄ = 1448, SD = 3062) (P = 0.25). The estimated excess deaths (n = 67 540; 95% confidence interval (CI) = 35 431, 99 648) were similar to the predicted excess death (n = 64 570; 95% CI = 54 140, 75 000) by CBM with imputation. The total national estimate of excess deaths for all 713 districts was 794 989 (95% CI = 664 895, 925 082). Conclusions: A CBM with imputation can be used to predict excess deaths in an appropriate context.

Palliative Care Need in India: A Systematic Review and Meta-analysis.

Background: To achieve sustainable development goal 3.8, countries must prioritise the provision of palliative care. We aimed to estimate the prevalence of palliative care needs in India. Methods: A systematic literature search was conducted in databases of PubMed, Cochrane, Embase, Web of Science, and EBSCO Host. We included community-based studies published in English between inception and April 30, 2023. We excluded hospital-based studies that were conducted solely including diseased patients. Data were extracted independently, and a quality assessment was performed. To estimate the pooled prevalence and 95% confidence intervals (CI), we used the random-effects model. Heterogeneity was assessed using the Q statistic and I2 test. Subgroup analyses were conducted based on the study site, urban-rural distribution, gender, and age groups. Publication bias was evaluated using a funnel plot and Egger test. STATA software was used for data analysis. Results: Out of the 2632 articles identified, 8 cross-sectional studies were included. Using the random-effects model, the pooled estimate of palliative care needs was found to be 6.21/1000 population (95% CI: 2.42-11.64). The southern region showed a prevalence of 10.83/1000 compared to 2.24/1000 in the northern region. Urban areas had a prevalence of 3.34/1000, while rural areas had a prevalence of 7.69/1000. Among females, the prevalence was 9.64/1000, compared to 6.77/1000 among males. Notably, individuals aged over 60 years had a higher prevalence of palliative care needs, with a rate of 37.86/1000 population. Conclusion: This systematic review and meta-analysis highlight a substantial need for palliative care in India, with a prevalence of 6.21 individuals/1000 population.

Assessing Awareness and Palliative Care Needs in Rural Haryana, North India: A Community-Based Study.

Background Community-based palliative care offers a solution to ensure continuity of treatment for patients with life illnesses or life-threatening conditions. Hence, to advocate for community-based palliative care services, it is imperative to generate evidence for palliative care needs in the community. This study aimed to assess the need for and awareness of palliative care in rural Haryana, North India. Methods This was a community-based cross-sectional study conducted in six villages of Haryana. A trained investigator conducted house-to-house visits to screen the population for those who require palliative care. The screening was done using three questions, i.e., (1) the presence of a bedridden patient, (2) a person in need of help in activities of daily living, or (3) not able to go to work due to any physical chronic illness. If the answer to any of these questions was positive, a list of patients was prepared, and a community physician trained in palliative care contacted them. Patients and their caregivers were evaluated for their awareness of palliative care through the following question: 'Have you heard about the term palliative care/end-of-life care/home care for bedridden people/community-based care/supportive care?'. Data collection was done using Epicollect5 mobile application, and a descriptive analysis was conducted using the R software. Results A total of 1,983 households were visited, and 152 households were excluded as they were found locked during two separate visits. Therefore, a total of 1,831 households, comprising 9,727 individuals, were screened. The need for palliative care was found to be 3.7 per 1,000 population (95% CI: 2.5 - 4.9) and 18.6 per 1000 households (12.4 - 24.8). The most common diseases requiring palliative care were stroke with a focal neurological deficit (27.8%) and cancer (22.2%). One patient with cancer was receiving palliative care. None of the patients or their caregivers was aware of the terms palliative care/end-of-life care/home care for bedridden people/community-based care/supportive care. Conclusion The need for palliative care in rural Haryana (North India) was found to be 3.7 per 1000 population. Neither the patients nor their caregivers had an awareness of palliative care.

Hypertension-related distress and its associated factors: findings from an urban primary health centre of South Delhi, India.

Background: Living with hypertension (HTN) has been found to cause distress, which adversely affects one's self-care and may lead to elevated blood pressure. There is a paucity of data regarding the prevalence of HTN-related distress. This study was conducted to estimate the prevalence of HTN-related distress among adults with HTN attending an outpatient department in an urban primary health centre and to determine the factors associated with distress. Methods: This was a cross-sectional study conducted at the outpatient department of an urban primary health centre in Delhi, India. The enrolled participants were administered a questionnaire, which included a Distress Scale for patients with diabetes mellitus and/or hypertension (DSDH17 M) (to assess for HTN-related distress) and Health-Related Quality of Life, Healthy Days Measure. A descriptive analysis was performed. Factors associated with HTN-related distress were tested using logistic regression. Results: One hundred forty-one participants were enrolled in this study. Most were women (73.76%) with a mean age of 60.15 years (standard deviation [SD]: 0.78). The prevalence of HTN-related distress (average DSDH17 M score ≥3) was 14% (95% confidence interval [CI]: 9.30-21.03). Patients with HTN-related distress had significantly poor health and reported a greater number of days where they were physically or mentally unhealthy. Patients with uncontrolled blood pressure had six times the odds (95% CI: 1.69-21.77, P value = 0.006) of HTN-related distress compared to those with controlled blood pressure. Conclusions: Hypertension-related distress was present in 14% of adults with HTN. Patients with uncontrolled blood pressure had six times the odds of HTN-related distress.

Healthier Food Purchase and Its Determinants in an Urban Resettlement Colony of Delhi.

Dietary risk, one of the major risk factors for the increasing burden of non-communicable diseases, is influenced by household food choices and purchases. A community-based cross-sectional study was conducted in 250 randomly selected households of an urban resettlement colony in Delhi to estimate the proportion of households purchasing different healthier food options during the last purchasing occasion and to identify its key determinants. Purchase of healthier options in staple items like wheat flour with fiber (100%), plant-based oils (97.9%), unpolished pulses (96.2%), and toned milk (94.5%) was high. Affordability and health considerations in food purchases were identified as key determinants.

Correction: Monitoring of Non-communicable Diseases in a Primary Healthcare Setting in India: A Quality Improvement Initiative.

[This corrects the article DOI: 10.7759/cureus.38132.].

Monitoring of Non-communicable Diseases in a Primary Healthcare Setting in India: A Quality Improvement Initiative.

Background The majority of patients with non-communicable diseases (NCDs) seek care in a primary healthcare setting. There is a lack of effective monitoring of patients with NCD, which leads to poor disease control and an increase in morbidity and mortality. We wanted to explore the feasibility of maintaining patient health record and utilising it for disease monitoring in a primary healthcare setting. Therefore, we aimed to increase the availability of patient health records from 0% to 100% using the principles of quality improvement (QI) among patients with hypertension and/or diabetes within six weeks and to use these records for assessing the disease control status of patients through cohort monitoring approach. Methods This QI initiative was conducted at an urban health centre (UHC) located at Dakshinpuri, New Delhi. We specifically focused on two major NCDs: diabetes and hypertension. We formed a QI team and identified the gaps using fishbone analysis and a process flow diagram. We used the model for improvement and the Plan-Do-Study-Act (PDSA) framework. We conducted repeated rapid PDSA cycles for the designed intervention and monitored the change every week using a run chart. The data from the patient health record were entered into Microsoft Excel (Microsoft® Corp., Redmond, WA) using Google Forms (Google, Inc., Mountain View, CA) and Epicollect5 (Oxford Big Data Institute, Oxford, England). We used the cohort monitoring approach of the India Hypertension Control Initiative to assess the quarterly control rate for hypertension and diabetes at the UHC. Results The root cause analysis revealed that the lack of a policy for keeping patient records and the lack of perceived need in the past were the primary reasons behind the absence of NCD health records. In brainstorming sessions with the QI team, we designed a paper-based patient health record system involving unique identity (ID) generation, an index register, an NCD record file and an NCD passbook (Dhirghayu card) for each patient. We reorientated the process of patient flow and devised a mechanism for record-keeping at the UHC. This initiative increased the availability of patient health records from 0% to 100% in the initial three weeks. The system of maintaining patient health records was well received by the patients and was better utilised by treating physicians for NCD management. After the intervention, we were able to use the data from the NCD file to assess the quarterly control rates of the patients with hypertension and/or diabetes. Conclusion Our study showed that patients' health records can be generated and maintained in a primary healthcare setting by using the principles of quality improvement. These records can be utilised for the disease monitoring of patients with hypertension and/or diabetes, which can lead to better disease control. The sustainability of this initiative and the performance of the health facility can be assessed in future studies using annual control rates.

Coverage of a Population-Based Non-Communicable Disease Screening Program Using Lot Quality Assurance Sampling in Rural North India: A Mixed Methods Study.

AIM: We aimed to estimate the coverage of a population-based Non-communicable Disease (NCD) screening program using lot quality assurance sampling (LQAS) and identify factors affecting its implementation in district Nuh of Haryana, India. METHOD: A mixed-methods study was conducted with an initial LQAS coverage survey, followed by in-depth interviews. Thirty lots (villages or towns) were sampled in the district, and 20 people aged ≥ 30 years were randomly sampled from each lot. Participants were asked about receiving services under the program. Weighted coverage estimates, which is the proportion of people who had received screening services, were estimated. Using a decision value of more than nine negative responses out of 20 persons, all 30 lots were classified as good or poor performing. In-depth interviews of healthcare providers of good performing lots and district-level health officials were conducted, and factors affecting program implementation were identified. FINDINGS: Six hundred participants were interviewed (mean age of 44.8 years, 57.2% women). The proportion of people who reported having undergone screening for diabetes or hypertension was 2.1%, and all lots performed poorly based on decision value. Key factors affecting the program were leadership, prioritization of NCD activities, ensuring human resource and material requirements, regular incentives, qualities of workers, and community engagement. CONCLUSION: The screening coverage under the population-based NCD screening program was low in district Nuh, Haryana. This needs to be improved by addressing the identified health system and community-related factors.

Estimating the Need for Palliative Care in an Urban Resettlement Colony of New Delhi, North India.

Objectives: This study was aimed to estimate the need for palliative care in an urban resettlement colony of Dakshinpuri Extension, New Delhi. Material and Methods: This was a community-based cross-sectional study conducted in New Delhi. We trained four multipurpose workers to screen the households during their routine household-to-household visits. The screening for the need for palliative care was done using three questions - that is, (1) presence of a bedridden patient or (2) person in need for help in activities of daily living or (3) not able to go for work due to any physical chronic illness. If the answer to any of the three screening questions was yes for any member in a household, then these households were visited by a community physician trained in palliative care and a medical social service officer to confirm the need for palliative care. Patients were administered a semi-structured questionnaire containing the sociodemographic details and an assessment of disease status and review of health records was done. The patient and his/her caregiver were also assessed for awareness regarding palliative care. Results: A total of 2028 households were screened and the need for palliative care was found to be 1.5/1000 population (95% CI: 0.9-2.1). The mean age (SD) of patients who need palliative care was 60 years (SD-12.9). The common diseases which required palliative care were stroke with a focal neurological deficit (45.8%), osteoarthritis with marked dependence (20.8%) and cancer (12.5%). None of the patients was receiving palliative care as patients and their caregivers were not aware of the term palliative care/end of life care/home care for bedridden people/community-based care. Conclusion: The need for palliative care in an urban resettlement colony of North India was found to be 1.1/1000 population. Further studies are required to estimate the need for palliative care in North India.

WHO Non-Lab-Based CVD Risk Assessment: A Reliable Measure in a North Indian Population.

Introduction: Timely, affordable, and sustained interventions reduce the risk of heart attack or Stroke in people with a high total risk of cardiovascular diseases (CVD). Risk prediction tools are available to estimate the cardiovascular risk using information on multiple variables. CVD risk charts prepared by the World Health Organization (WHO) has laboratory-based and non-laboratory-based charts with the latter meant for use in resource limited settings. We conducted a study to determine concordance between the laboratory- and non-laboratory risk charts and to estimate the prevalence of selected CVD risk factors in a rural Indian population. Methods: A community-based cross-sectional study was conducted in rural area of Ballabgarh in district Faridabad, Haryana. Sample of 1,018 participants aged 30-69 years was selected randomly from study area. Information on CVDs risk factors was obtained using WHO STEPS questionnaire, anthropometry and laboratory investigation. Risk distribution among the study participants was observed. Concordance between laboratory- and non-laboratory-based WHO CVD risk charts was determined using agreement analysis. Results: The mean age of the study participants was 43.9 (8.9) years and 55.6% participants were women. Among various CVD risk factors, hypertension (39.4%) was the major factor followed by overweight (34.1%) was found to be major factor, followed by current smoking (23.6%) and hypercholesterolemia (18.7%). The concordance between the two charts was 83.3% with kappa value of 0.64. Considering laboratory-based charts as the gold standard, the sensitivity and specificity of non-laboratory-based risk charts at 5% risk as cut-off was 86.5% and 90.3% respectively. Conclusion: The study shows a good agreement between the laboratory-based and non-laboratory-based risk charts. Thus non-laboratory-based risk charts are suitable for risk estimation of CVDs for use in resource limited settings like India.

Effectiveness of Visual Inspection with Acetic Acid (VIA) Screening on Cervical Cancer Mortality and Incidence - A Systematic Review and Meta-Analysis.

OBJECTIVES: Despite being a cheap, easy, and commonly used technique for screening early development of cervical cancer, collective evidence on the effect of visual inspection with acetic acid (VIA) for reducing cervical cancer mortality and incidence are conflicting. We conducted a systematic review and meta-analysis to determine the effectiveness of VIA screening on cervical cancer mortality and incidence. METHODS: We searched PubMed, Embase, Cochrane library (Cochrane Database of Systematic Reviews & Cochrane Central Register of Controlled Trials), World Health Organization's (WHO) International Clinical Trials Registry Platform, and Google Scholar to identify studies conducted among women with no history of cervical cancer that assessed effectiveness of VIA on the cervical cancer mortality and incidence. Random effects model was used to estimate incident rate ratio and sensitivity analysis was conducted using Bayesian methods. RESULTS: Of the included 4 studies, three were cluster randomized trials from India and one was quasi-experimental study done in Thailand. Duration of follow-up ranged from 7 to 12 years. Based on 3 trials, pooled rate-ratio for cervical cancer mortality and all-cause mortality was 0.68 (95% CI: 0.56-0.81, I2=0%) and 0.91 (0.85-0.97, I2=57%), respectively. Pooled rate-ratio of invasive cervical cancer was 0.94 (95% CI: 0.67 - 1.30, I2=84%). Likewise, there was non-significant reduction in incidence of stage IB, >=stage II, and unknown stage cervical cancer. CONCLUSIONS: VIA screening may lead to reduction in cervical cancer and all-cause mortality in long run. However, the effectiveness of VIA in preventing invasive cervical cancer is inconclusive.

Learning by Doing: Accelerate Towards the NCD Target in SDG Through Primary Healthcare Comment on "Universal Health Coverage for Non-communicable Diseases and Health Equity: Lessons From Australian Primary Healthcare".

Health systems built on the foundation of primary healthcare (PHC) are essential to achieve universal health coverage (UHC). To adequately respond to the needs of people with non-communicable diseases (NCDs) and enable optimal management in primary care settings, changes are needed at many levels. PHC levers recommended in the UHC framework as the cornerstone of achieving Sustainable Development Goal (SDG) goals by strengthening the primary care system include strategic and operational levers. Experience from hypertension control programs across 18 countries has shown that rapid scale-up can be achieved through systematic improvement of the PHC system brought about by political commitment, financial support, and high-quality people-centred primary care. As countries are gripped with the pandemic the importance of an appropriate and resilient health system fit for the country is emerging as a priority for building preparedness. While there are general principles, each country must learn by doing and scale up models relevant to the national context.

Mental health literacy among adolescents: Evidence from a community-based study in Delhi.

BACKGROUND: Mental Health Literacy (MHL) is the ability to recognize mental disorders, along with knowledge of professional help available, effective self-help strategies, skills to give support to others, and knowledge of how to prevent mental disorders. Adequate MHL is linked to better health-seeking behavior and management of mental illness. AIM: To assess the MHL related to depression and anxiety among adolescents of age 15 to 19 years residing in Delhi. METHODS: A survey was conducted among adolescents in southeast Delhi. MHL was assessed using sex-matched vignettes of Common Mental Disorders (CMDs) like depression and anxiety. MHL was assessed under domains of identifications of disorders, help-seeking behavior, knowledge about prevention, and stigmatizing attitude toward the respective illness. Statistical analysis was done in STATA and percentage of participants with adequate MHL in various domains was calculated, and difference between various groups was examined using chi-square test. RESULTS: A total of 491 adolescents participated (response rate of 87.2%) of whom a 50.3% were girls and 57.8% were 15 to 17 years of age. Only 50 (10.2%) participants identified depression vignette as that of depression and 51 (10.4%) identified vignette of anxiety disorder as the same. No statistically significant gender differential in MHL was seen (p value = .8). The stigmatizing attitude, assessed by asking a series of questions suggesting stigma toward the particular illness, was observed among almost all participants (depression -99.4%, and anxiety disorders -96.1%). 18.3% and 18.7% of participants reported correct knowledge about the prevention of depression and anxiety respectively. Four hundred and twenty-two (86%) identified the need to seek help for symptoms reported in vignettes. Of these, 234 (55%) preferred parents, and 62 (14.7%) look after friends for any help. CONCLUSION: Adolescents residing in Delhi reported poor MHL for Common Mental Disorders. High stigma and poor help-seeking behavior was also observed among the participants toward CMDs.

Underweight, Overweight, and Anemia among Elderly Persons in a rural area of Ballabgarh, Haryana.

BACKGROUND: Underweight, overweight, and anemia are common public health problems among elderly individuals. OBJECTIVES: The current study was conducted in a rural area of Ballabgarh, Haryana, to estimate the prevalence of underweight, overweight, and anemia among elderly persons and to find their association with sociodemographic variables. MATERIALS AND METHODS: A total of 420 elderly persons aged ≥60 years were selected by simple random sampling. Information on variables was collected by an interview schedule. Body mass index (BMI) was calculated from height and arm-span of elderly persons. Hemoglobin was estimated with HemoCue® Hb 201+ system. RESULTS: Of the total participants, 33.6% were underweight, 13.8% were overweight, 15.6% were obese, and 37.0% had normal BMI. None of the sociodemographic variables was found to be significantly associated with being underweight. Being female was significantly associated with being overweight/obese. The prevalence of anemia was 36.4%. None of the sociodemographic variables was associated with anemia. CONCLUSIONS: Underweight and anemia are common among elderly persons in rural areas. These need to be addressed through community-based interventions.

Depression Among Adolescents in a Rural Area of Haryana, India: A Community-Based Study Using Patient Health Questionnaire-9.

INTRODUCTION: The estimates of prevalence of depression among adolescents in the Indian community are limited; most studies are institution-based. Early identification and management of depression can provide significant health dividends to the affected adolescents, and better health consequences in their adulthood. OBJECTIVES: To determine the prevalence of depression among 10- to 19-year-old residents in a rural area of Haryana, India, and to assess factors associated with adolescent depression. METHODS: A sample of 630 adolescents (between 10 to 19 years of age) residing in the selected area of Ballabgarh (Haryana) were selected using simple random sampling technique. Home visits were made, in which participants were administered the Patient Health Questionnaire (PHQ)-9 to screen for depression. The prevalence and 95%CI were estimated. In addition, a semi-structured interview schedule was administered to identify sociodemographic variables and other factors associated with adolescent depression. Unadjusted and adjusted OR were reported with p-value, using multivariable logistic regression analysis. RESULTS: The age-adjusted prevalence of depression among adolescents was 20.6% (95% CI: 16.9-24.2). The prevalence in late and early adolescence was 11.7% and 8.9%, respectively. It was higher in girls (22.3%) as compared with boys (19.2%). Mild depression was the most common type identified. On multivariable logistic regression, depression was associated with birth order of four or more (Adjusted OR (AOR)=3.0 (95%CI: 1.4-6.3), p<0.01), presence of long-standing illness in the past three months (AOR=3.0 (95%CI: 1.4-6.1), p<0.01), impaired self-perceived body image (AOR=2.9 (95%CI: 1.8-4.6), p<0.01), and perceived stressful event(s) in the past six months (AOR=4.9 (95%CI: 2.8-8.6), p<0.01). CONCLUSION:  One in five adolescents was screened positive for depression, necessitating focus on screening and early identification of depressive symptoms, especially at the primary care level.

Preparedness of primary and secondary health facilities in India to address major noncommunicable diseases: results of a National Noncommunicable Disease Monitoring Survey (NNMS).

BACKGROUND: The monitoring framework for evaluating health system response to noncommunicable diseases (NCDs) include indicators to assess availability of affordable basic technologies and essential medicines to treat them in both public and private primary care facilities. The Government of India launched the National Program for Prevention and Control of Cancer, Diabetes, Cardiovascular diseases and Stroke (NPCDCS) in 2010 to strengthen health systems. We assessed availability of trained human resources, essential medicines and technologies for diabetes, cardiovascular and chronic respiratory diseases as one of the components of the National Noncommunicable Disease Monitoring Survey (NNMS - 2017-18). METHODS: NNMS was a cross-sectional survey. Health facility survey component covered three public [Primary health centre (PHC), Community health centre (CHC) and District hospital (DH)] and one private primary in each of the 600 primary sampling units (PSUs) selected by stratified multistage random sampling to be nationally representative. Survey teams interviewed medical officers, laboratory technicians, and pharmacists using an adapted World Health Organization (WHO) - Service Availability and Readiness Assessment (SARA) tool on handhelds with Open Data Kit (ODK) technology. List of essential medicines and technology was according to WHO - Package of Essential Medicines and Technologies for NCDs (PEN) and NPCDCS guidelines for primary and secondary facilities, respectively. Availability was defined as reported to be generally available within facility premises. RESULTS: Total of 537 public and 512 private primary facilities, 386 CHCs and 334 DHs across India were covered. NPCDCS was being implemented in 72.8% of CHCs and 86.8% of DHs. All essential technologies and medicines available to manage three NCDs in primary care varied between 1.1% (95% CI; 0.3-3.3) in rural public to 9.0% (95% CI; 6.2-13.0) in urban private facilities. In NPCDCS implementing districts, 0.4% of CHCs and 14.5% of the DHs were fully equipped. DHs were well staffed, CHCs had deficits in physiotherapist and specialist positions, whereas PHCs reported shortage of nurse-midwives and health assistants. Training under NPCDCS was uniformly poor across all facilities. CONCLUSION: Both private and public primary care facilities and public secondary facilities are currently not adequately prepared to comprehensively address the burden of NCDs in India.

Baseline risk factor prevalence among adolescents aged 15-17 years old: findings from National Non-communicable Disease Monitoring Survey (NNMS) of India.

OBJECTIVE: To generate national estimates of key non-communicable disease (NCD) risk factors for adolescents (15-17 years) identified in the National NCD Monitoring Framework and, study the knowledge, attitudes and practices towards NCD risk behaviours among school-going adolescents. DESIGN AND SETTING: A community-based, national, cross-sectional survey conducted during 2017-2018. The survey was coordinated by the Indian Council of Medical Research-National Centre for Disease Informatics and Research with 10 reputed implementing research institutes/organisations across India in urban and rural areas. PARTICIPANTS: A multistage sampling design was adopted covering ages between 15 and 69 years-adolescents (15-17 years) and adults (18-69 years). The sample included 12 000 households drawn from 600 primary sampling units. All available adolescents (15-17 years) from the selected households were included in the survey. MAIN OUTCOME MEASURES: Key NCD risk factors for adolescents (15-17 years)-current tobacco and alcohol use, dietary behaviours, insufficient physical activity, overweight and obesity. RESULTS: Overall, 1402 households and 1531 adolescents completed the survey. Prevalence of current daily use of tobacco was 3.1% (95% CI: 2.0% to 4.7%), 25.2% (95% CI: 22.2% to 28.5%) adolescents showed insufficient levels of physical activity, 6.2% (95% CI: 4.9% to 7.9%) were overweight and 1.8% (95% CI: 1.0% to 2.9%) were obese. Two-thirds reported being imparted health education on NCD risk factors in their schools/colleges. CONCLUSION: The survey provides baseline data on NCD-related key risk factors among 15-17 years in India. These national-level data fill information gaps for this age group and help assess India's progress towards NCD targets set for 2025 comprehensively. Though the prevalence of select risk factors is much lower than in many developed countries, this study offers national evidence for revisiting and framing appropriate policies, strategies for prevention and control of NCDs in younger age groups.

National noncommunicable disease monitoring survey (NNMS) in India: Estimating risk factor prevalence in adult population.

BACKGROUND: The primary objective of National NCD monitoring survey (NNMS) was to generate national-level estimates of key NCD indicators identified in the national NCD monitoring framework. This paper describes survey study protocol and prevalence of risk factors among adults (18-69 years). MATERIALS AND METHODS: NNMS was a national level cross-sectional survey conducted during 2017-18. The estimated sample size was 12,000 households from 600 primary sampling units. One adult (18-69 years) per household was selected using the World Health Organization-KISH grid. The study tools were adapted from WHO-STEPwise approach to NCD risk factor surveillance, IDSP-NCD risk factor survey and WHO-Global adult tobacco survey. Total of 8/10 indicators of adult NCD risk factors according to national NCD disease monitoring framework was studied. This survey for the first time estimated dietary intake of salt intake of population at a national level from spot urine samples. RESULTS: Total of 11139 households and 10659 adults completed the survey. Prevalence of tobacco and alcohol use was 32.8% (95% CI: 30.8-35.0) and 15.9% (95% CI: 14.2-17.7) respectively. More than one-third adults were physically inactive [41.3% (95% CI: 39.4-43.3)], majority [98.4% (95% CI: 97.8-98.8)] consumed less than 5 servings of fruits and / or vegetables per day and mean salt intake was 8 g/day (95% CI: 7.8-8.2). Proportion with raised blood pressure and raised blood glucose were 28.5% (95% CI: 27.0-30.1) and 9.3% (95% CI: 8.3-10.5) respectively. 12.8% (95% CI: 11.2-14.5) of adults (40-69 years) had ten-year CVD risk of ≥30% or with existing CVD. CONCLUSION: NNMS was the first comprehensive national survey providing relevant data to assess India's progress towards targets in National NCD monitoring framework and NCD Action Plan. Established methodology and findings from survey would contribute to plan future state-based surveys and also frame policies for prevention and control of NCDs.

Spirometry-based prevalence of chronic obstructive pulmonary disease & associated factors among community-dwelling rural elderly.

Background & objectives: Chronic obstructive pulmonary disease (COPD) is a major public health problem in India. Its magnitude is particularly high among the elderly. Old age and comorbidity may lead to misdiagnosis and under treatment of this condition. COPD is not curable; however, various forms of treatment can help control symptoms and improve the quality of life. Most of the earlier studies lacked uniformity in definitions, designs, methodology and reporting techniques. Studies based on spirometry are only a few. Understanding the current prevalence and associated factors of COPD is important for planning control strategies. Hence, this study was conducted to determine the prevalence of COPD and associated factors among the elderly. Methods: In this community-based study among 449 elderly persons in a rural area, information regarding socio-demographic details, selected health conditions and exposure to risk factors was recorded. The assessment of airway obstruction was done by using a portable spirometer (MIR Spirolab). The diagnosis of COPD was based on the GOLD criteria. The association of COPD with sociodemographic and other variables was analysed by the multivariate logistic regression. Results: Acceptable spirometry findings were available for 392 (87.3%) participants. The prevalence of COPD was 42.9 per cent (95% confidence interval 37.9-47.7%). The prevalence was 54.5 per cent among men and 33.4 per cent among women. Smoking, higher age group and low body mass index were significantly associated with COPD. Interpretation & conclusions: The prevalence of COPD was found to be high among the rural elderly in this study. Interventions aimed at cessation of smoking and preparedness of health systems for diagnosis and management of COPD are hence required.