Managing Multimorbidity (Multiple Chronic Diseases) Amid COVID-19 Pandemic: A Community Based Study From Odisha, India

A longitudinal qualitative study on physician experience in managing multimorbidity across the COVID-19 pandemic in Odisha, India

While many studies have documented adverse impact of multiple chronic conditions or multimorbidity on COVID-19 outcomes in patients, there is scarcity of report on how physicians managed these patients. We investigated the experiences and challenges of clinicians in managing patients with multimorbidity throughout the COVID-19 pandemic in Odisha state, India. To understand the factors influencing illness management and the adaptive responses of physicians alongside the evolving pandemic, we followed a longitudinal qualitative study design. Twenty-three physicians comprising general practitioners, specialists, and intensivists, were telephonically interviewed in-depth. Saldana's longitudinal qualitative data analysis method was employed for data analysis. COVID-19 pandemic initially diverted the attention of health systems, resulting in reduced care. With time, the physicians overcame fear, anxiety, and feelings of vulnerability to COVID-19 and started prioritising patients with multimorbidity for treatment and vaccination. All physicians recommended teleconsultation and digital health records to benefit chronic illness care during future public health crises. The findings underscore the transformative potential of physician resilience and adaptation during the COVID-19 pandemic, emphasizing the importance of prioritizing patients with multimorbidity, incorporating teleconsultation, and implementing digital health records in healthcare systems to enhance chronic illness care and preparedness for future public health crises.

Effects of the COVID-19 Pandemic on the Implementation of NCD Care at the Primary Care Level in the Philippines: A Qualitative Inquiry

Background and Objective

The focusing of resources to COVID-19 response hampered and disadvantaged primary care services including that for Non-Communicable Diseases (NCDs), compromising continuity of care and hence, patients' disease status. However, studies from low- and middle-income countries (LMICs) remain sparse; therefore, evidence generation on how the pandemic impacted the provision of these primary care services in LMICs will help further understand how policies can be reframed, and programs be made more efficient and effective despite similar crises. To bridge this gap, the study investigated how the pandemic affected the implementation of NCD care at the primary care level in the Philippines.

Methods

Thirty-one online focus group discussions via Zoom Meetings were conducted among 113 consenting physicians, nurses, midwives, and community health workers from various facilities - community health centers and stations, free-standing clinics, infirmaries, and level 1 hospitals - located within two provinces in the Philippines. All interviews were video-recorded upon participants' consent and transcribed verbatim. Inductive thematic analysis was employed through NViVo 12® to generate themes, identify categories, and describe codes.

Results

The impact of COVID-19 on NCD care at the primary care level revolved around heightened impediments to service delivery, alongside worsening of pre-existing challenges experienced by the healthcare workforce; subsequently compelling the public to resort to unhealthy practices. These detriments to the primary healthcare system involved resource constraints, discontinued programs, referral difficulties, infection, overburden among workers, and interrupted training activities. Citizens were also observed to adopt poor healthcare seeking behavior, thereby discontinuing treatment regimen.

Conclusion

Healthcare workers asserted that disadvantages caused by the pandemic in their NCD services at the primary care level possibly threaten patients' health status. Besides the necessity to address such detriments, this also emphasizes the need for quantitative studies that will aid in drawing inferences and evaluating the effect of health crises like the pandemic on such services to bridge gaps in improving quality of care.

Epidemiology and impact of chronic disease multimorbidity in India: a systematic review and meta-analysis

Objectives

This is the first systematic review and meta-analysis of the prevalence of multimorbidity, its risk factors including socioeconomic factors, and the consequences of multimorbidity on health systems and broader society in India.

Methods

A systematic review of both published and grey literature from five databases (Medline, Embase, EBSCO, Scopus, and ProQuest) was conducted including original studies documenting prevalence or patient outcomes associated with multimorbidity among adults in India. We excluded studies that did not explicitly mention multimorbidity. Three independent reviewers did primary screening based on titles and abstracts followed by full-text review for potential eligibility. The risk of bias was independently assessed by two reviewers following the Appraisal Tool for Cross-Sectional Studies. We presented both qualitative and quantitative (through meta-analysis) summaries of the evidence. The protocol for this study was prospectively registered with PROSPERO (CRD42021257281).

Results

The review identified 5442 articles out of which 35 articles were finally included in this study. Twenty-three studies were based on the primary data while 12 used secondary data. Eleven studies were conducted in hospital/primary care setting while 24 were community-based. The pooled prevalence of multimorbidity based on (n=19) studies included for meta-analysis was 20% (95% CI: 19% to 20%). The most frequent outcomes were increased healthcare utilization, reduced health-related quality of life, physical and mental functioning.

Conclusion

We identified a wide variance in the magnitude of multimorbidity across age groups and regions with most of the studies from eastern India. Nation-wide studies, studies on vulnerable populations and interventions are warranted.

Exploring multimorbidity clusters in relation to healthcare use and its impact on self-rated health among older people in India

The conventional definition of multimorbidity may not address the complex treatment needs resulting from interactions between multiple conditions, impacting self-rated health (SRH). In India, there is limited research on healthcare use and SRH considering diverse disease combinations in individuals with multimorbidity. This study aims to identify multimorbidity clusters related to healthcare use and determine if it improves the self-rated health of individuals in different clusters. This study extracted information from cross-sectional data of the first wave of the Longitudinal Ageing Study in India (LASI), conducted in 2017-18. The study participants were 31,373 people aged ≥ 60 years. A total of nineteen chronic diseases were incorporated to identify the multimorbidity clusters using latent class analysis (LCA) in the study. Multivariable logistic regression was used to examine the association between identified clusters and healthcare use. A propensity score matching (PSM) analysis was utilised to further examine the health benefit (i.e., SRH) of using healthcare in each identified cluster. LCA analysis identified five different multimorbidity clusters: relatively healthy' (68.72%), 'metabolic disorder (16.26%), 'hypertension-gastrointestinal-musculoskeletal' (9.02%), 'hypertension-gastrointestinal' (4.07%), 'complex multimorbidity' (1.92%). Older people belonging to the complex multimorbidity [aOR:7.03, 95% CI: 3.54-13.96] and hypertension-gastrointestinal-musculoskeletal [aOR:3.27, 95% CI: 2.74-3.91] clusters were more likely to use healthcare. Using the nearest neighbor matching method, results from PSM analysis demonstrated that healthcare use was significantly associated with a decline in SRH across all multimorbidity clusters. Findings from this study highlight the importance of understanding multimorbidity clusters and their implications for healthcare utilization and patient well-being. Our findings support the creation of clinical practice guidelines (CPGs) focusing on a patient-centric approach to optimize multimorbidity management in older people. Additionally, finding suggest the urgency of inclusion of counseling and therapies for addressing well-being when treating patients with multimorbidity.

The accessibility and quality of health services for diabetes mellitus and chronic respiratory disease patients during Covid-19 in Northern Jordan: A mixed method study

BACKGROUND

The catastrophe caused by the Coronavirus disease has affected all services worldwide. A range of policies were introduced to slow the virus spread, which in turn, affected the accessibility and quality of healthcare services. This was a problematic and concerning for patients with chronic diseases, such as patients with diabetes mellitus (DM) and chronic respiratory diseases (CRD), due to their sustained need for ongoing health care. The aims of the study were: 1) assessing the level of both accessibility and quality of healthcare services during the Covid-19 pandemic from the DM and CRD patients' perspectives, 2) assessing the association between the patients' socio-demographics and their perspectives on health services accessibility and quality, and 3) exploring the perspectives of DM and CRD patients on barriers and facilitators of health services accessibility and quality during the era of COVID -19.

METHOD

Design. A sequential explanatory mixed-method was used in this study. In the quantitative part, a self -administered questionnaire was used to collect data from 300 patients with DM and/or CRD. In the qualitative part, focus group approach was used to collect data from 25 patients. Setting. Public, private and teaching hospitals were involved. Analysis. SPSS Version 25 was used to analyze the quantitative data. Thematic analysis was used to analyze the qualitative data.

RESULTS

The quantitative findings indicated that almost 99% of the participating patients perceived barriers, ranging from low to high, to accessing health services during COVID-19. Additionally, more than half of the sample perceived low to moderate level of quality of health services. Four themes and nine subthemes related to barriers and facilitators were identified in the qualitative part of the study.

CONCLUSION

The study revealed that both quality and accessibility of healthcare services for DM and CRD patients were impacted during the era of COVID -19. The findings lay the ground for developing future health programs and establishing or revising policies with the goal of improving healthcare services quality and accessibility for the target population.

Telemedicine in cancer care during COVID-19 pandemic: a systematic mapping study

Background

For monitoring, providing, and managing COVID-19 pandemic healthcare services, telemedicine holds incredible potential. During this period, there has been a change in the remote services offered to cancer patients. As a result, the purpose of this study was to conduct a mapping review to identify and classify telemedicine applications for providing cancer care to patients during the COVID-19 pandemic.

Methods

Articles published in scientific databases such as Web of Science, Scopus, PubMed, and ProQuest up to 2022 were searched for in this systematic mapping study. Identifying keywords, creating a search strategy, and selecting data sources were all part of our search for relevant articles. The articles were chosen in phases based on inclusion and exclusion criteria.

Results

A total of 1331 articles were found, with the majority of them (46% of them) taking place in the United States. Telemedicine systems were most commonly developed for breast cancer (11.4%), lung cancer (7.9%), head and neck cancer (6.4%), brain cancer (5.4%), gynecologic cancer (6.0%), urological cancer (5.7%), prostate cancer (5.0%), colorectal cancer (5.0%), biliary tract cancer (5.0%), and skin cancer (5.0%). Teleconsultation was the most common type of telemedicine application, with 60% of it taking place in real time.

Conclusion

Because of its emphasis on providing high-quality health care while reducing costs, telemedicine has gained popularity in the majority of countries, with positive economic and social consequences. While telemedicine systems provide a variety of healthcare services, during the COVID-19 era, they do not currently provide many services to all cancer patients worldwide.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12553-023-00762-2.

"We are invisible to them"-Identifying the most vulnerable groups in humanitarian crises during the COVID-19 pandemic: The case of Rohingyas and the Host communities of Cox's Bazar

The COVID-19 pandemic has had an adverse impact on the Rohingya and the Bangladeshi host communities, which have been well documented in the literature. However, the specific groups of people rendered most vulnerable and marginalized during the pandemic have not been studied comprehensively. This paper draws on data to identify the most vulnerable groups of people within the Rohingya and the host communities of Cox's Bazar, Bangladesh, during the COVID-19 pandemic. This study employed a systematic sequential method to identify the most vulnerable groups in the context of Rohingya and Host communities of Cox's Bazar. We conducted a rapid literature review (n = 14 articles) to list down Most vulnerable groups (MVGs) in the studied contexts during the COVID-19 pandemic and conducted four (04) group sessions with humanitarian providers and relevant stakeholders in a research design workshop to refine the list. We also conducted field visits to both communities and interviewed community people using In-depth interviews (n = 16), Key-informant Interviews (n = 8), and several informal discussions to identify the most vulnerable groups within them and their social drivers of vulnerabilities. Based on the feedback received from the community, we finalized our MVGs criteria. The data collection commenced from November 2020 to March 2021. Informed consent was sought from all participants, and ethical clearance for this study was obtained from the IRB of BRAC JPGSPH. The most vulnerable groups identified in this study were: single female household heads, pregnant and lactating mothers, persons with disability, older adults, and adolescents. Our analysis also found some factors that may determine the different levels of vulnerabilities and risks faced by some groups more than others in the Rohingya and host communities during the pandemic. Some of these factors include economic constraints, gender norms, food security, social safety-security, psychosocial well-being, access to healthcare services, mobility, dependency, and a sudden halt in education. One of the most significant impacts of COVID-19 was the loss of earning sources, especially for the already economically vulnerable; this had far-reaching consequences on individuals' food security and food consumption. Across the communities, it was found that the economically most affected group was single female household heads. The elderly and pregnant and lactating mothers face challenges seeking health services due to their restricted mobility and dependency on other family members. Persons living with disabilities from both contexts reported feelings of inadequacy in their families, exacerbated during the pandemic. Additionally, the shutdown in the formal education, and informal learning centres in both communities had the most significant impact on the adolescents during the COVID-19 lockdown. This study identifies the most vulnerable groups and their vulnerabilities amid the COVID-19 pandemic in the Rohingya and Host communities of Cox's Bazar. The reasons behind their vulnerabilities are intersectional and represent deeply embedded patriarchal norms that exist in both communities. The findings are essential for the humanitarian aid agencies and policymakers for evidence-based decision-making and service provisions for addressing the vulnerabilities of the most vulnerable groups.

Voices From the Community: Maternal Healthcare Experiences During the COVID-19 Pandemic

Introduction The coronavirus disease 2019 (COVID-19) pandemic had a significant impact on health services around the world. Many hospitals and clinics were overwhelmed by the influx of patients, leading to delays and disruptions in care. The fear of contracting the virus also led to a decrease in the number of people seeking medical care, even for urgent or life-threatening conditions. Various studies have reported a decrease in overall utilization of maternal health services. However, it remains vital to find the reasons for reduced utilization along with the experiences of the women as well as healthcare workers during the pandemic. Objective The objective of this study was to identify the facilitators and barriers to maternal healthcare services utilization during the COVID-19 pandemic. Methods It was a qualitative study conducted in a rural area of Haryana, India. Twelve in-depth interviews (IDIs) were conducted with health workers and four focused group discussions (FGDs) were conducted with pregnant women. Textual analysis was done for both IDIs as well as FGDs. Qualitative analysis was done manually. Results The identified themes were complete cessation of services, no outpatient department (OPD) services for many months, no antenatal care (ANC) services for two months, disruption of supply of medicines, unavailability of drugs, fear of getting COVID-19 infection, mandatory COVID-19 negative report for admission in hospital, and increased referral from government health facilities during the pandemic and lockdown. Conclusion Maternal healthcare services suffered during COVID-19 for various reasons including the closure of health facilities, limited supply of stocks, or fear of the disease among pregnant women. This evidence can be used to prepare as well as manage healthcare services in future.

Burden of COVID-19 infection and lockdown measures on individuals with chronic diseases in Saudi Arabia: A national population-based study

BACKGROUND

The recent COVID-19 crisis has placed a huge strain on the global health and economy. The toll of the damage on the human society exceeds the morbidity and mortality of the pandemic and the associated burden, considering the multidimensional impact on all aspects of life.

OBJECTIVES

The present study assessed the specific impact of COVID-19 on individuals with chronic diseases including the Years Lost for Disability (YLD) burden of COVID-19 infection, and multidimensional impact on the disease management, adaptive lifestyle, and socioeconomic dimensions.

METHOD

A national, population-based cross-sectional study was conducted among adult Saudi population. An internet-based questionnaire was used to collect sociodemographic characteristics, medical history, impact of COVID-19 lockdown on the management of the chronic disease, adaptive lifestyle, and impact of COVID-19 on family members. Additionally, data regarding eventual COVID-19 infection, severity and management were collected. YLD was estimated and normalized per 100,000 persons.

RESULT

Having a chronic disease was not associated with a greater risk of COVID-19 (relative risk [RR]=0.83, p = 0.153); however, it was associated with higher risk of declined physical activity (RR=1.30, p < 0.0001), deteriorated eating habit (RR=1.20, p = 0.002), sleep quality (RR=1.25, p < 0.0001), and overall health perception (RR=1.61, p < 0.0001), loss of family members due to COVID-19 (RR=1.96, p = 0.0001), and impacted household income (RR=1.11, p = 0.010). In case of COVID-19 infection, having a chronic disease was associated with increased risk of hospitalization (RR=5.04, p = 0.005) and having a moderate-to-severe form of COVID-19 (RR=6.00, p = 0.013). The overall YLD was estimated to be 17.7 per 100,000 individuals, and there was no significant difference between individuals with chronic diseases and those without.

CONCLUSION

COVID-19 entailed a substantial burden on the Saudi society in 2020, and individuals with preexisting chronic diseases suffered more important multidimensional impact, which need further research to assess the real impact of the pandemic and draw the pertinent lessons from the experience for future possible epidemics.

Experiences of Urban Slum-Dwelling Women With Maternal and Child Health Services During COVID-19 Pandemic: A Multi-City Qualitative Study From India

Objectives: The COVID-19 pandemic containment necessitated the diversion of substantial health care resources thus affecting the routine essential care, and posing barriers to achieving the Sustainable Development Goals (SDGs). We explored the experiences of vulnerable communities—urban-slum-dwelling women regarding maternal and child health services during COVID-19.

Methods: We conducted 48 in-depth interviews in four Indian states—12 in each state among urban-slum antenatal, intra-natal, and postnatal women. We used framework analysis.

Results: Amidst the implementation of the mandatory stay-at-home, many women acknowledged that routine immunization services and antenatal check-ups remained uninterrupted, and were mostly provided at the community level. To prevent transmission, the family members and relatives had restricted visits to the health facility during labor or post-delivery. Women preferred to have a shorter hospital stay post-delivery and reduced routine postnatal check-ups for fear of infection.

Conclusion: India has a variety of national and state-level programs focused on improving MCH indicators to achieve the SDGs. COVID-19 inadvertently interrupted some components of health services, insinuating the need for a disaster or pandemic-resilient MCH services delivery system.

COVID-19 pandemic effects on the distribution of healthcare services in India: A systematic review

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has brought fundamental changes to our problems and priorities, especially those related to the healthcare sector. India was one of the countries severely affected by the harsh consequences of the COVID-19 pandemic.

AIM

To understand the challenges faced by the healthcare system during a pandemic.

METHODS

The literature search for this review was conducted using PubMed, EMBASE, Scopus, Web of Science, and Google Scholar. We also used Reference Citation Analysis (RCA) to search and improve the results. We focused on the published scientific articles concerned with two major vital areas: (1) The Indian healthcare system; and (2) COVID-19 pandemic effects on the Indian healthcare system.

RESULTS

The Indian healthcare system was suffering even before the pandemic. The pandemic has further stretched the healthcare services in India. The main obstacle in the healthcare system was to combat the rising number of communicable as well as noncommunicable diseases. Besides the pandemic measures, there was a diversion of focus of the already established healthcare services away from the chronic conditions and vaccinations. The disruption of the vaccination services may have more severe short and long-term consequences than the pandemic’s adverse effects.

CONCLUSION

Severely restricted resources limited the interaction of the Indian healthcare system with the COVID-19 pandemic. Re-establishment of primary healthcare services, maternal and child health services, noncommunicable diseases programs, National Tuberculosis Elimination Program, etc. are important to prevent serious long-term consequences of this pandemic.

Multimorbidity

Multimorbidity (two or more coexisting conditions in an individual) is a growing global challenge with substantial effects on individuals, carers and society. Multimorbidity occurs a decade earlier in socioeconomically deprived communities and is associated with premature death, poorer function and quality of life and increased health-care utilization. Mechanisms underlying the development of multimorbidity are complex, interrelated and multilevel, but are related to ageing and underlying biological mechanisms and broader determinants of health such as socioeconomic deprivation. Little is known about prevention of multimorbidity, but focusing on psychosocial and behavioural factors, particularly population level interventions and structural changes, is likely to be beneficial. Most clinical practice guidelines and health-care training and delivery focus on single diseases, leading to care that is sometimes inadequate and potentially harmful. Multimorbidity requires person-centred care, prioritizing what matters most to the individual and the individual's carers, ensuring care that is effectively coordinated and minimally disruptive, and aligns with the patient's values. Interventions are likely to be complex and multifaceted. Although an increasing number of studies have examined multimorbidity interventions, there is still limited evidence to support any approach. Greater investment in multimorbidity research and training along with reconfiguration of health care supporting the management of multimorbidity is urgently needed.

Identifying non-communicable disease multimorbidity patterns and associated factors: a latent class analysis approach

OBJECTIVE

In the absence of adequate nationally-representative empirical evidence on multimorbidity, the existing healthcare delivery system is not adequately oriented to cater to the growing needs of the older adult population. Therefore, the present study identifies frequently occurring multimorbidity patterns among older adults in India. Further, the study examines the linkages between the identified patterns and socioeconomic, demographic, lifestyle and anthropometric correlates.

DESIGN

The present findings rest on a large nationally-representative sample from a cross-sectional study.

SETTING AND PARTICIPANTS

The study used data on 58 975 older adults (45 years and older) from the Longitudinal Ageing Study in India, 2017-2018.

PRIMARY AND SECONDARY OUTCOME MEASURES

The study incorporated a list of 16 non-communicable diseases to identify commonly occurring patterns using latent class analysis. The study employed multinomial logistic regression models to assess the association between identified disease patterns with unit-level socioeconomic, demographic, lifestyle and anthropometric characteristics.

RESULTS

The present study demonstrates that older adults in the country can be segmented into six patterns: 'relatively healthy', 'hypertension', 'gastrointestinal disorders-hypertension-musculoskeletal disorders', 'musculoskeletal disorders-hypertension-asthma', 'metabolic disorders' and 'complex cardiometabolic disorders'. Additionally, socioeconomic, demographic, lifestyle and anthropometric factors are significantly associated with one or more identified disease patterns.

CONCLUSIONS

The identified classes 'hypertension', 'metabolic disorders' and 'complex cardiometabolic disorders' reflect three stages of cardiometabolic morbidity with hypertension as the first and 'complex cardiometabolic disorders' as the last stage of disease progression. This underscores the need for effective prevention strategies for high-risk hypertension group. Also, targeted interventions are essential to reduce the burden on the high-risk population and provide equitable health services at the community level.

Multimorbidity Among Urban Poor in India: Findings From LASI, Wave-1

Background

Multimorbidity has become a norm in low-and middle-income countries such as India requiring notable health system improvements to combat. Urban population is a heterogeneous group where poor are at a risk of facing inequity in accessing healthcare services which can jeopardize our efforts to attain universal health coverage (UHC). We aimed to estimate the prevalence, assess correlates and patterns of multimorbidity among urban poor. Further, we assessed the outcomes of multimorbidity such as healthcare utilization, expenditure and self-rated health.

Methods

Longitudinal Aging Study in India (LASI), wave-1 is a nationally representative survey conducted amongst participants aged ≥45 years in 2017–18. We included 9,327 participants residing in urban areas, categorized as poor based on monthly per capita expenditure. Descriptive statistics computed prevalence with 95% uncertainty interval. Multivariable logistic regression was executed to assess the association between multimorbidity and various correlates, expressed as adjusted odds ratio. An ordinal regression model was run between self-rated health and number of chronic conditions.

Results

The prevalence of multimorbidity was 45.26% among the urban poor. Hypertension and oral morbidities were the most commonly observed dyad. Respondents who were poorer [AOR: 1.27 (1.06–1.51)] had higher chances of having multimorbidity than the poorest. Respondents with a health insurance [AOR: 1.40 (1.14–1.70)] had a higher risk of having multimorbidity. In-patient admission was significantly higher among participants having multimorbidity. Out of pocket expenditure increased while self-rated health deteriorated with each additional morbid condition.

Conclusion

Multimorbidity is found to be increasingly prevalent among urban poor and individuals having health insurance which demonstrates the need to expand healthcare insurance schemes such as Ayushman Bharat for urban poor to achieve UHC.

Incidence of multimorbidity and associated factors during the COVID-19 pandemic in Brazil: a cohort study

BACKGROUND

Due to the coronavirus disease 2019 (COVID-19) pandemic, access to healthcare services may have become difficult, which may have led to an increase in chronic diseases and multimorbidity.

OBJECTIVES

To assess the incidence of multimorbidity and its associated factors among adults living in the state of Rio Grande do Sul, Brazil.

DESIGN AND SETTING

Cohort study conducted in Rio Grande do Sul, Brazil.

METHODS

We included data from the two waves of the Prospective Study About Mental and Physical Health (PAMPA). Data were collected via online questionnaires between June and July 2020 (wave 1) and between December 2020 and January 2021 (wave 2). Multimorbidity was defined as the presence of two or more diagnosed medical conditions.

RESULTS

In total, 516 individuals were included, among whom 27.1% (95% confidence interval, CI: 23.5-31.1) developed multimorbidity from wave 1 to 2. In adjusted regression models, female sex (hazard ratio, HR: 1.97; 95% CI: 1.19-3.24), middle-aged adults (31-59 years) (HR: 1.78; 95% CI: 1.18-2.70) and older adults (60 or over) (HR: 2.41; 95% CI: 1.25-4.61) showed higher risk of multimorbidity. Back pain (19.4%), high cholesterol (13.3%) and depression (12.2%) were the medical conditions with the highest proportions reported by the participants during wave 2.

CONCLUSION

The incidence of multimorbidity during a six-month period during the COVID-19 pandemic was 27.1% in the state of Rio Grande do Sul, Brazil.

Self-care Behaviours and Technology utilised during COVID-19: Systematic Review

Background

Self-care behaviors are essential for people living with chronic conditions; however, the outbreak of the COVID-19 pandemic has imposed additional complications on their daily routines. Few studies have analyzed how self-care behaviors have changed during COVID-19 and the role of digital technology, especially among people with chronic conditions.

Objective

This study aims to review how self-care behaviors have changed for people with chronic conditions during the COVID-19 pandemic, and what technology they have adopted to manage their conditions during that period.

Methods

A systematic review was conducted using narrative synthesis. Data were extracted from PubMed, MEDLINE, EMBASE, PsycINFO, CINAHL, and Google Scholar, including articles from December 2019 onward. Eligible studies focused on adults diagnosed with chronic conditions undertaking any self-care tasks in line with the middle-range theory of self-care of chronic illness (ie, self-care maintenance, monitoring, and management). The methodological quality of the included articles was assessed with the McMaster Critical Review Forms for Quantitative or Qualitative Studies.

Results

In total, 36 primary research articles were included. Changes to self-care behaviors during COVID-19 among people with chronic conditions were organized according to the middle-range theory of self-care of chronic illness focusing on self-care maintenance (ie, medication adherence, physical activity, and diet control), self-care monitoring (ie, monitoring signs and symptoms), and self-care management (ie, consultations with health care providers). Positive self-care behaviors observed include the following: individuals trying to maintain good glycemic control during COVID-19 increased their medication adherence in 27% (10/36) of studies; and diet control improved in 50% (18/36) of studies. Negative self-care behaviors observed include the following: decline in physical activities and increased sedentariness were observed in 65% (23/36) of studies; poor diet control was observed in 57% (21/36) of studies; and self-monitoring of health status dropped in 43% (15/36) of studies. The use of technology to support self-care of chronic conditions during COVID-19 was reported in 72% (26/36) of studies. The actual use of telehealth in place of physical consultations during COVID-19 was observed in 50% (18/36) of studies, and other digital technologies (eg, social media apps, smartphone apps, web-based platforms, and web browsing) were used in 50% (18/36) of studies. Telehealth was discussed and recommended as the default technology in delivering future health care services during COVID-19 and beyond in 77% (28/36) of studies.

Conclusions

This review highlighted the necessity to rethink how models of self-care should continue to address the demands of chronic conditions while being responsive to the imminent threats of infectious diseases. Perhaps the silver lining of COVID-19 is that adoption of digital technology (especially telehealth) among a vast cross-section of people with chronic conditions is possible. Future research should investigate effective ways to incorporate evidence-based digital health tools into these new models of self-care that address the challenges of chronic and infectious conditions.

All-cause mortality during the COVID-19 pandemic in Chennai, India: an observational study

BACKGROUND

India has been severely affected by the ongoing COVID-19 pandemic. However, due to shortcomings in disease surveillance, the burden of mortality associated with COVID-19 remains poorly understood. We aimed to assess changes in mortality during the pandemic in Chennai, Tamil Nadu, using data on all-cause mortality within the district.

METHODS

For this observational study, we analysed comprehensive death registrations in Chennai, from Jan 1, 2016, to June 30, 2021. We estimated expected mortality without the effects of the COVID-19 pandemic by fitting models to observed mortality time series during the pre-pandemic period, with stratification by age and sex. Additionally, we considered three periods of interest: the first 4 weeks of India's first lockdown (March 24 to April 20, 2020), the 4-month period including the first wave of the pandemic in Chennai (May 1 to Aug 31, 2020), and the 4-month period including the second wave of the pandemic in Chennai (March 1 to June 30, 2021). We computed the difference between observed and expected mortality from March 1, 2020, to June 30, 2021, and compared pandemic-associated mortality across socioeconomically distinct communities (measured with use of 2011 census of India data) with regression analyses.

FINDINGS

Between March 1, 2020, and June 30, 2021, 87 870 deaths were registered in areas of Chennai district represented by the 2011 census, exceeding expected deaths by 25 990 (95% uncertainty interval 25 640-26 360) or 5·18 (5·11-5·25) excess deaths per 1000 people. Stratified by age, excess deaths numbered 21·02 (20·54-21·49) excess deaths per 1000 people for individuals aged 60-69 years, 39·74 (38·73-40·69) for those aged 70-79 years, and 96·90 (93·35-100·16) for those aged 80 years or older. Neighbourhoods with lower socioeconomic status had 0·7% to 2·8% increases in pandemic-associated mortality per 1 SD increase in each measure of community disadvantage, due largely to a disproportionate increase in mortality within these neighbourhoods during the second wave. Conversely, differences in excess mortality across communities were not clearly associated with socioeconomic status measures during the first wave. For each increase by 1 SD in measures of community disadvantage, neighbourhoods had 3·6% to 8·6% lower pandemic-associated mortality during the first 4 weeks of India's country-wide lockdown, before widespread SARS-CoV-2 circulation was underway in Chennai. The greatest reductions in mortality during this early lockdown period were observed among men aged 20-29 years, with 58% (54-62) fewer deaths than expected from pre-pandemic trends.

INTERPRETATION

Mortality in Chennai increased substantially but heterogeneously during the COVID-19 pandemic, with the greatest burden concentrated in disadvantaged communities. Reported COVID-19 deaths greatly underestimated pandemic-associated mortality.

FUNDING

National Institute of General Medical Sciences, Bill & Melinda Gates Foundation, National Science Foundation.

TRANSLATION

For the Hindi translation of the abstract see Supplementary Materials section.

Identifying psychological antecedents and predictors of vaccine hesitancy through machine learning: A cross sectional study among chronic disease patients of deprived urban neighbourhood, India

COVID-19 vaccine hesitancy among chronic disease patients can severely impact individual health with the potential to impede mass vaccination essential for containing the pandemic. The present study was done to assess the COVID-19 vaccine antecedents and its predictors among chronic disease patients. This cross-sectional study was conducted among chronic disease patients availing care from a primary health facility in urban Jodhpur, Rajasthan. Factor and reliability analysis was done for the vaccine hesitancy scale to validate the 5 C scale. Predictors assessed for vaccine hesitancy were modelled with help of machine learning (ML). Out of 520 patients, the majority of participants were female (54.81%). Exploratory factor analysis revealed four psychological antecedents’ “calculation”; “confidence”; “constraint” and “collective responsibility” determining 72.9% of the cumulative variance of vaccine hesitancy scale. The trained ML algorithm yielded an R2 of 0.33. Higher scores for COVID-19 health literacy and preventive behaviour, along with family support, monthly income, past COVID-19 screening, adherence to medications and age were associated with lower vaccine hesitancy. Behaviour changes communication strategies targeting COVID-19 health literacy and preventive behaviour especially among population sub-groups with poor family support, low income, higher age groups and low adherence to medicines may prove instrumental in this regard.

Metabolomics of Multimorbidity: Could It Be the Quo Vadis?

Multimorbidity, the simultaneous presence of two or more chronic diseases, affects the health care to a great extent. Its association with health care cost, more disability, and poor quality of life makes it a major public health risk. The matter of worry is that management of a multimorbid condition is complicated by the fact that multiple types of treatment may be required to treat different diseases at a time, and the interaction between some of the therapies can be detrimental. Understanding the causal factors of simultaneously occurring disease conditions and investigating the connected pathways involved in the whole process may resolve the complication. When different disease conditions present in an individual share common responsible factors, treatment strategies targeting at those common causes will certainly reduce the chance of development of multimorbidity occurring because of those factors. Metabolomics that can dig out the underlying metabolites/molecules of a medical condition is believed to be an effective technique for identification of biomarkers and intervention of effective treatment strategies for multiple diseases. We hypothesize that understanding the metabolic profile may shed light on targeting the common culprit for different/similar chronic diseases ultimately making the treatment strategy more effective with a combinatorial effect.

Older adults with pre-existing noncommunicable conditions and their healthcare access amid COVID-19 pandemic: a cross-sectional study in eastern Nepal

BACKGROUND

COVID-19 has greatly impacted older adults with pre-existing noncommunicable conditions (hereafter called pre-existing conditions) in terms of their access to essential healthcare services. Based on the theory of vertical health equity, this study investigated access to healthcare by Nepali older adults with pre-existing conditions during the COVID-19 pandemic.

METHODS

A cross-sectional study surveyed 847 randomly selected older adults (≥60 years) in three districts of eastern Nepal. Survey questionnaires, administered by trained community health workers, collected information on participants reported difficulty obtaining routine care and medications during the pandemic, in addition to questions on demographics, socioeconomic factors and pre-existing conditions. Cumulative scores for pre-existing conditions were recoded as no pre-existing condition, single condition and multimorbidity for the analyses. χ² tests and binary logistic regressions determined inferences.

RESULTS

Nearly two-thirds of the participants had a pre-existing condition (43.8% single condition and 22.8% multimorbid) and reported experiencing difficulty obtaining routine care (52.8%) and medications (13.5%). Participants with single (OR 3.06, 95% CI 2.17 to 4.32) and multimorbid (OR 5.62, 95% CI 3.63 to 8.71) conditions had threefold and fivefold increased odds of experiencing difficulty accessing routine care. Findings were similar for difficulty obtaining medication (OR single: 3.12, 95% CI 1.71 to 5.69; OR multimorbid: 3.98, 95% CI 2.01 to 7.87) where odds were greater than threefolds.

CONCLUSIONS

Older adults with pre-existing conditions in Nepal, who require routine medical care and medication, faced significant difficulties obtaining them during the pandemic, which may lead to deterioration in their pre-existing conditions. Public health emergency preparedness should incorporate plans for both managing the emergency and providing continuing care.

Impact of Covid-19 Pandemic on Patients with Non-Communicable Disease: An Observational Cross-Sectional Study at AYUSH Set Ups of Krishna and Darjeeling District, India

OBJECTIVE

To determine the impact of covid-19 in patients suffering from NCDs in terms of their knowledge, awareness, perception about COVID-19, use of AYUSH immune boosters, and management of chronic condition during the pandemic.

METHOD

During the unlock down period (October 2020), a cross-sectional study was conducted in the Krishna and Darjeeling district of Andhra Pradesh and West Bengal, India. 499 individuals suffering from at least one chronic disease were interviewed using a structured questionnaire. Logistic regression was applied to investigate the relationship of socio-demographic characteristics with pandemic-related care challenges, Ayush Immune boosters(AIB). Principal Component Analysis was applied to minimize the dimensionality of factors related to covid care challenges.

RESULTS

499 individuals were surveyed. 91% identified at least three correct covid appropriate behaviour. 92.2% considered the coronavirus to be a potential threat (mean±sd: 5.8±2.6). 44.7% and 55.3% lived with one and 2 or more chronic conditions respectively. Hypertension alone (27.4%) and diabetes with hypertension (33%) were leading presentations. Out of 499, participants, 88.8% had at least one form of AIB. 52% took Ars. alb with other AIB and 40% took Ars. alb. alone. Only 09 participants were infected from Covid-19.

CONCLUSION

In the interest of a densely populated country like India, the inclusion of simple and safe AYUSH measures is realistic, ethical and cost-effective. Ayush interventions as Covid-19 prophylactic and treatment as well as Integrative care of chronic illnesses such as NCDs is suggested.

Multimorbidity matters in low and middle-income countries

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

Difficulties faced by older Rohingya (forcibly displaced Myanmar nationals) adults in accessing medical services amid the COVID-19 pandemic in Bangladesh

BACKGROUND

COVID-19 has seriously disrupted health services in many countries including Bangladesh. This research aimed to explore whether Rohingya (forcefully displaced Myanmar nationals) older adults in Bangladesh faced difficulties accessing medicines and routine medical care services amid this pandemic.

METHODS

This cross-sectional study was conducted among 416 Rohingya older adults aged 60 years and above residing in Rohingya refugee camps situated in the Cox's Bazar district of Bangladesh and was conducted in October 2020. A purposive sampling technique was followed, and participants' perceived difficulties in accessing medicines and routine medical care were noted through face-to-face interviews. Binary logistic regression models determined the association between outcome and explanatory variables.

RESULTS

Overall, one-third of the participants reported difficulties in accessing medicines and routine medical care. Significant factors associated with facing difficulties accessing medicine included feelings of loneliness (adjusted OR (AOR) 3.54, 95% CI 1.93 to 6.48), perceptions that older adults were at the highest risk of COVID-19 (AOR 3.35, 95% CI 1.61 to 6.97) and required additional care during COVID-19 (AOR 6.89, 95% CI 3.62 to 13.13). Also, the notable factors associated with difficulties in receiving routine medical care included living more than 30 min walking distance from the health centre (AOR 3.57, 95% CI 1.95 to 6.56), feelings of loneliness (AOR 2.20, 95% CI 1.25 to 3.87), perception that older adults were at the highest risk of COVID-19 (AOR 2.85, 95% CI 1.36 to 5.99) and perception that they required additional care during the pandemic (AOR 4.55, 95% CI 2.48 to 8.35).

CONCLUSION

Many Rohingya older adults faced difficulties in accessing medicines and routine medical care during this pandemic. This call for policy-makers and relevant stakeholders to re-assess emergency preparedness plans including strategies to provide continuing care.

Coping with COVID-19 pandemic: reflections of older couples living alone in urban Odisha, India

AIM

We explored the 'coping reflections' of elderly couples living alone (without any other family members) during the COVID-19 pandemic in urban Odisha, India.

BACKGROUND

Evidence worldwide suggests that older people are at increased risk from COVID-19 adverse outcomes and experience greater stress. In our previous community-based study urban dwelling, particularly elderly participants, and living alone reported higher pandemic-associated health care challenges than their rural and residing-with-family counterparts. We intended to explore how the elderly couples living alone coped through this challenging yet stressful situation during the COVID-19 pandemic and what were their key strategies adopted toward this.

METHODS

We conducted telephonic in-depth interviews (IDIs) with 11 urban elderly couples living alone in Bhubaneswar city of Odisha, India using a semi-structured interview guide. All IDIs were digitally recorded, transcribed into the original language, and translated to English. We used a thematic approach for analysis.

FINDINGS

Four themes emerged: (1) Risk appraisal and feeling vulnerable; (2) Safeguarding against COVID-19; (3) Managing routine health care and emergency; and (4) Pursuing mental and psychological well-being. Although fear, anxiety, and loneliness were continuing stressors, many of them learnt to adapt and emerge resilient with the evolving situation. Various elements at the individual, family, community, and organizational levels were conducive to better coping. The companionship and complementary support of spouse, self-health literacy, and digital efficacy, virtual connectedness with family and friends, availability of community pharmacy and diagnostic services in the vicinity, support of neighbors, reengaging with creative leisure time activity, and assurance of a responsive administration at the time of emergency helped them to cruise through the pandemic. Furthermore, watching the re-telecast of prime time serials made these elderly fondly remember their own youth time memories. Self-health monitoring, indoor physical exercise, spiritual practices, continuation of previous prescription, telephonic advice of physicians were add-on strategies that facilitated their physical and psychological well-being during the pandemic.

Clinical profile and outcome of non-COVID strokes during pandemic and the pre pandemic period: COVID-Stroke Study Group (CSSG) India

Background

As the health systems around the world struggled to meet the challenges of COVID-19 pandemic, care of many non-COVID emergencies was affected.

Aims

The present study examined differences in the diagnosis, evaluation and management of stroke patients during a defined period in the ongoing pandemic in 2020 when compared to a similar epoch in year 2019.

Methods

The COVID stroke study group (CSSG) India, included 18 stroke centres spread across the country. Data was collected prospectively between February and July 2020 and retrospectively for the same period in 2019. Details of demographics, stroke evaluation, treatment, in-hospital and three months outcomes were collected and compared between these two time points.

Results

A total of 2549 patients were seen in both study periods; 1237 patients (48.53%) in 2019 and 1312 (51.47%) in 2020. Although the overall number of stroke patients and rates of thrombolysis were comparable, a significant decline was observed in the month of April 2020, during the initial period of the pandemic and lockdown. Endovascular treatment reduced significantly and longer door to needle and CT to needle times were observed in 2020. Although mortality was higher in 2020, proportion of patients with good outcome were similar in both the study periods.

Conclusions

Although stroke admissions and rates of thrombolysis were comparable, some work flow metrics were delayed, endovascular stroke treatment rates declined and mortality was higher during the pandemic study period. Reorganization of stroke treatment pathways during the pandemic has likely improved the stroke care delivery across the globe.

Impact of the COVID-19 Pandemic on Kidney Diseases Requiring Renal Biopsy: A Single Center Observational Study

Background

The coronavirus disease-2019 (COVID-19) pandemic impacted healthcare services for kidney disease patients. Lockdown and social distancing were mandated worldwide, resulting in closure of medical services. The diagnosis of various kidney diseases may have been delayed during the COVID-19 pandemic because non-urgent tests and visits were postponed due to closure of medical services during the lockdown.

Methods

We here report the impact of the COVID-19 pandemic on a total number of 209 native kidney diseases requiring renal biopsy for diagnosis in a retrospective observational study from a tertiary hospital in Germany.

Results

The lockdown period in March and April 2020 primarily affected patients admitted to the normal medical ward with a compensatory increased rate of renal biopsies in the postlockdown phase. In addition, there was a shift toward more patients admitted with hemoglobinuria during the COVID-19 pandemic. This phenomenon of an increased number of patients with hemoglobinuria during the COVID-19 pandemic was specifically observed in a subgroup with hypertensive nephropathy requiring renal biopsy and associated with increased proteinuria, not attributed to the COVID-19 lockdown period itself.

Conclusion

To our knowledge, this is the first report of identifying a subpopulation susceptible to closure of medical services during the COVID-19 pandemic and diagnostic delay of specific kidney diseases. Therefore, the COVID-19 pandemic should be regarded as a risk factor especially in patients with diseases other than COVID-19 primarily admitted to the normal medical ward.

Challenges in Maternal and Child Health Services Delivery and Access during Pandemics or Public Health Disasters in Low-and Middle-Income Countries: A Systematic Review

Maternal and child health (MCH) has been a global priority for many decades and is an essential public health service. Ensuring seamless delivery is vital for desirable MCH outcomes. This systematic review outlined the challenges in accessing and continuing MCH services during public health emergencies-pandemics and disasters. A comprehensive search approach was built based on keywords and MeSH terms relevant to 'MCH services' and 'pandemics/disasters'. The online repositories Medline, CINAHL, Psyc INFO, and Epistemonikos were searched for studies. We included twenty studies-seven were on the Ebola outbreak, two on the Zika virus, five related to COVID-19, five on disasters, and one related to conflict situations. The findings indicate the potential impact of emergencies on MCH services. Low utilization and access to services have been described as common challenges. The unavailability of personal safety equipment and fear of infection were primary factors that affected service delivery. The available evidence, though limited, indicates the significant effect of disasters and pandemics on MCH. However, more primary in-depth studies are needed to understand better the overall impact of emergencies, especially the COVID-19 pandemic, on MCH. Our synthesis offers valuable insights to policymakers on ensuring the uninterrupted provision of MCH services during an emergency.

Non-communicable diseases care during COVID-19 pandemic: A mixed-method study in Khurda district of Odisha, India

BACKGROUND & OBJECTIVES

During any public health emergency, a need-based national non-communicable diseases (NCD) preparedness plan is essential. People living with NCDs could face challenges owing to restricted mobility, low access to medical care and suboptimal logistics during the pandemic. The present study explored the effect of the COVID-19 pandemic on NCD care in a district of Odisha State of India.

METHODS

This study was carried out during May-June 2020 in the Khurda district of Odisha. A community-based explanatory mixed-method study was followed. Data collection comprised 12 in-depth interviews and 491 structured interviews using Likert-questionnaire with individuals having at least one NCD. Mantel-Haenszel's Chi-square test was used to assess the difference in the effect of COVID-19 on the routine NCD care. Qualitative data were analyzed by content analysis.

RESULTS

Findings revealed that nearly two-thirds of participants encountered challenges in their routine investigation (69%), day-care procedures (67%) and reaching hospital (61%). Around half of them reported having trouble in doctor appointments (59%), emergency treatment (56%), access to the pharmacy (47%) and delay in healthcare (46%). Thirty seven per cent perceived that they could not access care because of social restriction/lockdown, 29 per cent attributed arranging finance as a constraint to visiting hospitals and 16 per cent avoided going to the hospital, fearing COVID-19 infection.

INTERPRETATION & CONCLUSIONS

Our findings showed that people with chronic NCDs faced multiple challenges in accessing health care during the pandemic. A cohesive doctor-pharmacy-patient engagement is vital for managing NCD care during a pandemic. During emergencies, changes in dispensing practices and service provision closer to the patients are crucial. Additionally, health literacy and home-based NCD management should be encouraged.