Challenges of non-COVID-19 patients with chronic illness during the pandemic

Abraham, Debi Ann; Vijayakumar, T.; Rajanandh, Muhasaparur Ganesan

doi:10.4103/jrpp.jrpp_20_64

Cited by 18 publications

(13 citation statements)

References 5 publications

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“…Empirical evidence shows that patients with chronic conditions are particularly vulnerable to COVID-19. They have a much higher COVID mortality rate than the general population ( 65 ), and tend to take extra precaution to avoid health facilities for fear of infection ( 66 ). Both COVID-19 and chronic conditions have been proven to be associated with anxiety and depression ( 67 , 68 ).…”

Section: Discussionmentioning

confidence: 99%

Delay in seeking health care from community residents during a time with low prevalence of COVID-19: A cross-sectional national survey in China

Wang

Tang²,

Guan³

et al. 2023

Front. Public Health

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BackgroundThe pandemic of COVID-19 has significant implications on health resources allocation and health care delivery. Patients with non-COVID illness may have to change their care seeking behaviors to mitigate the risk of infections. The research aimed to investigate potential delay of community residents in seeking health care at a time with an overall low prevalence of COVID-19 in China.MethodsAn online survey was conducted in March 2021 on a random sample drawn from the registered survey participants of the survey platform Wenjuanxing. The respondents who reported a need for health care over the past month (n = 1,317) were asked to report their health care experiences and concerns. Logistic regression models were established to identify predictors of the delay in seeking health care. The selection of independent variables was guided by the Andersen's service utilization model. All data analyses were performed using SPSS 23.0. A two-sided p value of <0.05 was considered as statistically significant.Key resultsAbout 31.4% of respondents reported delay in seeking health care, with fear of infection (53.5%) as a top reason. Middle (31–59 years) age (AOR = 1.535; 95% CI, 1.132 to 2.246), lower levels of perceived controllability of COVID-19 (AOR = 1.591; 95% CI 1.187 to 2.131), living with chronic conditions (AOR = 2.008; 95% CI 1.544 to 2.611), pregnancy or co-habiting with a pregnant woman (AOR = 2.115; 95% CI 1.154 to 3.874), access to Internet-based medical care (AOR = 2.529; 95% CI 1.960 to 3.265), and higher risk level of the region (AOR = 1.736; 95% CI 1.307 to 2.334) were significant predictors of the delay in seeking health care after adjustment for variations of other variables. Medical consultations (38.7%), emergency treatment (18.2%), and obtainment of medicines (16.5%) were the top three types of delayed care, while eye, nose, and throat diseases (23.2%) and cardiovascular and cerebrovascular diseases (20.8%) were the top two conditions relating to the delayed care. Self-treatment at home was the most likely coping strategy (34.9%), followed by Internet-based medical care (29.2%) and family/friend help (24.0%).ConclusionsDelay in seeking health care remained at a relatively high level when the number of new COVID-19 cases was low, which may present a serious health risk to the patients, in particular those living with chronic conditions who need continuous medical care. Fear of infection is the top reason for the delay. The delay is also associated with access to Internet-based medical care, living in a high risk region, and perceived low controllability of COVID-19.

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Section: Discussionmentioning

confidence: 99%

Delay in seeking health care from community residents during a time with low prevalence of COVID-19: A cross-sectional national survey in China

Wang

Tang²,

Guan³

et al. 2023

Front. Public Health

View full text Add to dashboard Cite

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“…Mamedov M. N. 1 , Druk I. V. 2 , Turusheva E. A. 2 , Eremina E. Yu. 3 , Morozova T. E. 4 , Iskenderov B. G. 5 , Sapozhnikov A. N. 6 , Drozdetsky S. I.…”

Section: Behavioral Risk Factors and Clinical Course Of Cardiovascular Diseases And Other Noncommunicable Diseases During Quarantine In Vmentioning

confidence: 99%

“…12 Во всем мире пандемия новой коронавирусной инфекции (COVID-19) характеризуется высокой заболеваемостью и огромными социально-экономическими потерями, что отразилось на работе систем здравоохранения и изменении приоритетов [1]. Это не могло не отразиться на качестве оказания помощи пациентам с хроническими неинфекционными заболеваниями (ХНИЗ), представляющими собой серьезную медико-социальную проблему в целом [2]. С другой стороны, в первые месяцы распространения COVID-19 было показано, что пожилой возраст пациентов, курение, ожирение, артериальная гипертония, мужской пол, сердечно-сосудистые заболевания (ССЗ), сахарный диабет (СД), хроническая обструктивная болезнь легких (ХОБЛ), онкологические заболевания, а также их коморбидность являются предикторами развития осложнений, включая летальный исход [3,4].…”

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Behavioral risk factors and clinical course of cardiovascular diseases and other noncommunicable diseases during quarantine in various regions of Russia

et al. 2021

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Aim. To assess the behavioral risk factors and the clinical course of cardiovascular diseases (CVDs) and other noncommunicable diseases (NCDs) during quarantine in various regions of Russia.Material and methods. This multicenter cohort cross-sectional study included 205 men and women from 6 Russian cities. Further, 4 of them (Saransk, Nizhny Novgorod, Penza, Ulyanovsk) were combined into one group — the Volga region. The study included men and women aged 30-69 years with one or more NCDs (hypertension, coronary artery disease with or without myocardial infarction, type 2 diabetes, chronic obstructive pulmonary disease/asthma and cancer in patients receiving chemotherapy and/or radiation therapy) who were self-isolated during coronavirus disease 2019 (COVID-19) pandemic. For all patients, a questionnaire was used, which included socio-demographic parameters, behavioral risk factors, status of the underlying disease, incidence of COVID-19 and its complications. Self-assessment of the state of health was carried out using the European Quality of Life Questionnaire.Results. In every third Muscovite, the intensity of physical activity decreased, and in the groups of patients from Omsk and the Volga region, it was 45% and 43%, respectively. An increase in meal frequency and an impairment of eating habits in Moscow and Omsk was noted in 18,2% and 18,7% of participants, while in Volga region subjects, these parameters were 2 times higher (42,4%). At the same time, no significant changes of alcohol consumption and smoking was revealed in the cohorts. Hypertensive crises during a pandemic were noted in all three subgroups, but more of them were recorded in the Volga region — in every third patient (p< 0,05 compared to Moscow), in the Omsk group — in every fourth patient, and among Muscovites — no more than 5%. Clinical deterioration in patients with angina was noted in 15% of cases, while the smallest number was noted in Omsk subjects (5,3%), three times less than in other subgroups. Changes in intensity and regimen of hypoglycemic therapy were noted in patients from Omsk, while 30% of them (p< 0,05 compared with the Volga region) increased the doses of medications taken. Chronic obstructive pulmonary disease was registered in the group with the largest number of Volga region patients — 14,1% (p< 0,05 compared to Omsk), while 17% of patients in this group increased the dose of drugs. Any cancer was recorded in 13,6% of Muscovites, while in the other two groups — about 5%. The largest number of patients from the Volga region noted a health decline over the past year (30,8%), while every fifth patient from Omsk (19,6%) and 13,6% of Muscovites reported health changes.Conclusion. During quarantine and self-isolation, changes in dietary habits and physical activity decline were noted among patients with NCDs, while alcohol consumption and smoking remained practically unchanged. The change in clinical status was characterized by an increase in hypertensive crisis incidence, an increase in doses of antihypertensive and hypoglycemic medication. Depending on the region, the health decline was noted by 13-31% of patients with NCDs.

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“…Stress and anxiety are well-known risk factors for maladaptive coping (smoking, substance use, unhealthy eating habits and sedentary behavior) [ [8] , [9] , [10] , [11] , [12] , [13] , [14] , [15] , [16] , [17] ], inadequate treatment adherence [ [18] , [19] , [20] , [21] , [22] ], reduced self-efficacy [ [23] , [24] , [25] ], avoidance of healthcare visits [ [26] , [27] , [28] ], and worse health outcomes [ [29] , [30] , [31] ]. In addition, the potential negative health consequences associated with limited availability and access to healthcare services were cited as a significant concern [ 32 ]. Understanding how patients were managing health amidst uncertainty and issues accessing healthcare may provide insight into how patients managed health through the subsequent months as infection rates continued to change.…”

Section: Introductionmentioning

confidence: 99%