The shifting roles of community health workers in the prevention and management of Noncommunicable disease during COVID-19 Pandemic: A scoping review.

Community Health Workers (CHWs) play a crucial role in the prevention and management of noncommunicable diseases (NCDs). The COVID-19 pandemic triggered the implementation of crisis-driven responses that involved shifts in the roles of CHWs in terms of delivering services for people with NCDs. Strategically aligning these shifts with health systems is crucial to improve NCD service delivery. The aim of this review was to identify and describe COVID-19-triggered shifting roles of CHWs that are promising in terms of NCD service delivery. We searched Ovid Medline, Embase, CINAHL, Web of Science, and CABI for Global Health for relevant articles published between Jan 1, 2020, and Feb 22, 2022. Studies that were conducted within a COVID-19 context and focused on the shifted roles of CHWs in NCD service delivery were included. We used PRISMA guidelines to report the findings. A total of 25 articles from 14 countries were included in this review. We identified 12 shifted roles of CHWs in NCD service delivery during COVID-19, which can be categorised in three dimensions: enhanced role of CHWs that include additional tasks such as medication delivery, extended roles such as the delivery of NCD services at household level and in remote communities; and enabled roles through the use of digital health technologies. Health and digital literacy of people with NCDs, access to internet connectivity for people with NCDs and the social and organizational context where CHWs work influenced the implementation of the shifted roles of CHWs. In conclusion, the roles of CHWs have shifted during COVID-19 pandemic to include the delivery additional NCD services at home and community levels, often supported by digital technologies. Given the importance of the shifting roles in the prevention and management of NCDs, adaptation and integration of these shifted roles into the routine activities of CHWs in the post-COVID period is recommended.

Epidemiology of Coronavirus Disease 2019 during the Second and Third Wave in Chennai, India: An Analysis of the Coronavirus Disease 2019 Surveillance System, February 2021-February 2022.

INTRODUCTION: Analysis of the coronavirus disease 2019 (COVID-19) surveillance system in the first wave indicated that the data-driven approach helped in resource allocation and public health interventions. OBJECTIVES: We described the epidemiology of COVID-19 cases in Chennai, Tamil Nadu, India, from February 2021 to February 2022. MATERIALS AND METHODS: We analyzed the COVID-19 surveillance data from Chennai City, Tamil Nadu, India's Greater Chennai Corporation. We described the deidentified line list of COVID-19 cases and deaths by months, zones, age, and gender. We estimated the incidence of COVID-19 cases per million population, test positivity rate (TPR), and case fatality ratio (CFR). RESULTS: Of the 434,040 cases reported in Chennai from February 1, 2021, to February 28, 2022, 53% were male. The incidence per million peaked in May 2021 (19,210) and January 2022 (15,881). Age groups more than 60 years reported maximum incidence. Southern region zones reported higher incidence. Overall TPR was 5.8%, peaked in May 2021 (17.5%) and January 2022 (15.1%). Over half of the 4929 reported deaths were in May 2021 (56%). Almost half of the deaths were 61-80 years (52%), followed by 41-60 years (26%). Overall CFR was 1%, which peaked in June 2021 (4%). CONCLUSION: We conclude that Chennai city experienced a surge in COVID-19 due to delta and omicron variants. Understanding descriptive epidemiology is vital for planning the public health response, resource allocation, vaccination policies, and risk communication to the community.

An outbreak of H1N1 Influenza A among the students and staff of school X, Kozhikode, January 2020.

Background: An outbreak of fever and cough was notified to public health authorities by the management of school X among their students, Kozhikode district, Kerala, on Jan 1, 2020. We conducted an outbreak investigation to confirm the diagnosis, describe the case patients by time, place, and person, and propose appropriate recommendations. Materials and Methods: We defined a probable case of influenza as any student or staff of school X, Kozhikode district with a fever and cough between Dec 30, 2019, and Jan 14, 2020. We conducted an active case search and contact tracing in the school. We described the cases by date of symptom onset using an Epicurve, plotted cases by their classroom, and calculated the attack rate by age, and gender. Results: We identified 270 cases of influenza; among them, 264 (98%) were students, and 6 (2%) were the staff. The overall attack rate was 36%. The attack rate was higher among the students (39%) than the staff (12%, 6/49, P < 0.0003). The attack rate was higher among students of class 10E (90%, 37/41) and class 10A (80%, 33/41), where the index case had contact with the students during the symptomatic phase. Conclusion: An outbreak of influenza A (H1N1) occurred among students and staff, predominantly affecting the 10th division. School and health authorities implemented several interventions to limit the outbreak, including training students on personal hygiene. We recommended conducting surveillance of influenza, maintaining adequate spacing of benches, self-hygiene practices, and classroom ventilation.

Improving the availability of antihypertensive drugs in the India Hypertension Control Initiative, India, 2019-2020.

BACKGROUND: Antihypertensive drug supply is sometimes inadequate in public sector health facilities in India. One of the core strategies of the India Hypertension Control Initiative (IHCI) is to improve the availability of antihypertensive drugs in primary and secondary care facilities. We quantified the availability of antihypertensive drugs in 2019-20 and described the practices in supply chain management in 22 districts across four states of India. METHODS: Twenty-two districts from 4 states (Punjab, Madhya Pradesh, Telangana, and Maharashtra) were studied. We described the practices and challenges in supply chain management. We collected data on drug procurement from 2018 to 2020 and drug availability from April 2019 to March 2020. Quantity procured, the proportion of facilities with stockout at the end of each quarter, and availability of drugs in patient days were tabulated. RESULTS: All states selected drug- and dose-specific protocols with Amlodipine as the initial drug and shifted to morbidity-based forecasting. The total number of antihypertensive tablets procured for the 22 districts increased from 16 million in 2017-2018 to 160 million in 2019-2020. The proportion of facilities with Amlodipine stock-out was below 5% during the study period. Amlodipine stock was available for at least 60 patient days from the third quarter of 2019 onward in all districts. CONCLUSIONS: This study demonstrates that including best practices can gradually strengthen the procurement and supply chain for antihypertensives in a low-resource setting. As the program was rapidly growing, there were still gaps in the procurement and distribution system which needed to be addressed to ensure the adequacy of drugs. We recommend that best practices, including choosing a single protocol, basing supply on projected patient load rather than an increment from historical levels, and using simple stock management tools, be replicated in other districts in India to increase and sustain coverage of hypertension treatment.

Digital Health Solutions for Community-Based Control of Diabetes During COVID-19 Pandemic: A Scoping Review of Implementation Outcomes.

BACKGROUND: The COVID-19 pandemic has added to the pre-existing challenges of diabetes management in many countries. It has accelerated the wider use of digital health solutions which have tremendous potential to improve health outcomes for people with diabetes. However, little is known about the attributes and the implementation of these solutions. OBJECTIVE: To identify and describe digital health solutions for community-based diabetes management and to highlight their key implementation outcomes. METHODS: We searched Ovid Medline, CINAHL, Embase, PsycINFO, and Web of Science for relevant articles. A purposive search was also used to identify grey literature. Articles that described digital health solutions that aimed to improve community-based diabetes management were included in this review. We applied a thematic synthesis of evidence to describe the characteristics of digital health solutions, and to summarize their key implementation outcomes. RESULTS: We included 15 articles that reported digital health solutions that primarily focused on community-based diabetes management. Nine of the 15 innovations involved were mobile applications and/or web-based platforms, and five were based on social media platforms. The majority of the digital health solutions were used for diabetes education and support. High engagement, utilization, and satisfaction rates with digital health solutions were observed. The use of digital health solutions was also associated with improvement in self-management, taking medication, and reduction in glycated hemoglobin (HbA1c) levels. CONCLUSION: COVID-19 triggered digital health solutions have tremendous potential to improve health outcomes for people with diabetes. Further studies are needed to evaluate the sustainability and scale-up of these solutions.

India Field Epidemiology Training Program Response to COVID-19 Pandemic, 2020-2021.

The India Field Epidemiology Training Program (FETP) has played a critical role in India's response to the ongoing COVID-19 pandemic. During March 2020-June 2021, a total of 123 FETP officers from across 3 training hubs were deployed in support of India's efforts to combat COVID-19. FETP officers have successfully mitigated the effect of COVID-19 on persons in India by conducting cluster outbreak investigations, performing surveillance system evaluations, and developing infection prevention and control tools and guidelines. This report discusses the successes of select COVID-19 pandemic response activities undertaken by current India FETP officers and proposes a pathway to augmenting India's pandemic preparedness and response efforts through expansion of this network and a strengthened frontline public health workforce.

Epidemiology of COVID-19 and effect of public health interventions, Chennai, India, March - October 2020

ObjectivesTo describe the public health strategies and their effect in controlling the COVID-19 pandemic from March to October 2020 in Chennai, India. SettingChennai, a densely populated metropolitan city in Southern India, was one of the five cities which contributed to more than half of the COVID-19 cases in India. ParticipantsWe collected the de-identified line list of all the 192,450 COVID-19 case-patients reported from 17 March to 31 October 2020 in Chennai and their contacts for the analysis. We defined a COVID-19 case-patient based on the RT-PCR positive test in one of the Government approved labs. Outcome measuresThe primary outcomes of interest were incidence of COVID-19 per million population, case fatality ratio, deaths per million and the effective reproduction number (Rt). We also analysed the indicators for surveillance, testing, contact tracing and isolation. ResultsOf the 192,450 RT-PCR confirmed COVID-19 case-patients reported in Chennai from 17 March-31 October 2020, 114,889 (60%) were males. The highest incidence was 41,064 per million population among the 61-80 years. The incidence peaked during June 2020 at 5239 per million and declined to 3,627 per million in October 2020. The city reported 3,543 deaths, with a case fatality ratio (CFR) of 1.8% and the crude death rate was 431 per million. When lockdown began, Rt was high (4.2) in March and fluctuated from April to June 2020. The Rt dropped below one by the first week of July and remained so until October 2020, even with the relaxation of restrictions ConclusionThe combination of public health strategies controlled the COVID-19 epidemic in a large, densely populated city in India. We recommend continuing the interventions to prevent resurgence, even as vaccination is being rolled out. StrengthsO_LIWe did a comprehensive analysis of COVID-19 strategies and outcome in a large, densely populated metropolitan city in India. C_LIO_LIWe documented that the community-centric public health strategies were feasible and effective in controlling the COVID-19 outbreak even in a large, thickly populated city C_LIO_LIThe lessons learnt are relevant to similar settings in low-and middle-income countries. Given the ongoing multiple waves of COVID-19 and the difficulty in controlling the transmission, our experience and lessons learnt will be valuable for policymakers and scientific advisors globally C_LI LimitationsO_LIWe analysed the data available from the GCC database and not from the hospitals where patients with moderate to severe illness were admitted. Hence, we could not report the severity of illness among admitted patients. C_LIO_LISecond, the COVID-19 incidence might have been underestimated while testing was low during the early phase of the epidemic C_LI

India Hypertension Control Initiative-Hypertension treatment and blood pressure control in a cohort in 24 sentinel site clinics.

The India Hypertension Control Initiative (IHCI) is a multi-partner initiative, implementing and scaling up a public health hypertension control program across India. A cohort of 21,895 adult hypertension patients in 24 IHCI sentinel site facilities in four Indian states (Punjab, Madhya Pradesh, Maharashtra, and Telangana), registered from January 2018 until June 2019 were assessed at baseline and then followed up for blood pressure (BP) control and antihypertensive medication use. Among all registrations, 11 274 (51%) of the patients returned for a follow-up visit between July 2019 and September 2019. Among patients returning for follow-up, 26.3% had BP controlled at registration, and 59.8% had BP controlled at follow-up (p < .001). The absolute improvement in BP control was more than two times greater in primary care (48.1 percentage point increase) than secondary care facilities (22.9 percentage point increase). Most IHCI patients received prescriptions according to state-specific treatment protocols. This study demonstrates that a scalable public health hypertension control program can yield substantial BP control improvements, especially in primary care settings. However, high loss to follow-up limits population health impact; future efforts should focus on improving systems to increase the likelihood that patients will return to the clinic for routine hypertension care.

Lifestyle-associated risk for cardiovascular diseases among doctors and nurses working in a medical college hospital in Tamil Nadu, India.

CONTEXT: Globally, about 17 million people die of cardiovascular diseases (CVDs) every year and a substantial number of these deaths are attributed to four major risk factors namely unhealthy diet, physical inactivity, tobacco consumption, and alcohol consumption. Doctors and nurses often have a sedentary lifestyle. AIMS: This study aimed at assessing the lifestyle-associated risk for CVDs among doctors and nurses in a medical college hospital. SETTING AND DESIGN: Cross-sectional study among 250 doctors and nurses, selected using a stratified random sampling, working at a medical college hospital in Tamil Nadu. SUBJECTS AND METHODS: After consenting, each participant answered a questionnaire comprising questions pertaining to the sociodemographic characteristics as well as lifestyle-related risk factors. Risk was categorized into low, moderate, and high based on general risk factors, physical activity risk factors, and dietary risk factors separately. STATISTICAL ANALYSIS: Descriptive statistics and Chi-square analysis were used to analyze the data. RESULTS: It was found that 31.2% of all study subjects and 49.2% of doctors were at high general risk for CVDs; 30.4% of all study subjects and 42.1% of doctors were at high physical activity-related risk for CVDs; 14.4% of all study subjects and 19.8% of all doctors were at high dietary pattern-related risk for CVDs. Advancing age is a statistically significant risk factor across all risk groups. CONCLUSIONS: Doctors are at a higher risk for CVDs as compared to nurses as well as the general population.