| Literature DB >> 32756382 |
Emily Ying Yang Chan1,2,3, Jean Hee Kim3, Eugene Siu Kai Lo1,3, Zhe Huang1,3, Heidi Hung3, Kevin Kei Ching Hung1,4, Eliza Lai Yi Wong3, Eric Kam Pui Lee3, Martin Chi Sang Wong3, Samuel Yeung Shan Wong3.
Abstract
People with existing non-communicable diseases (NCDs) are particularly vulnerable to health risks brought upon by emergencies and disasters, yet limited research has been conducted on disease management and the implications of Health-EDRM policies that address health vulnerabilities of people with NCDs during the COVID-19 pandemic. This paper reports the baseline findings of an anonymous, random, population-based, 6-month cohort study that aimed to examine the experiences of people with NCDs and their relevant self-care patterns during the COVID-19 pandemic. A total of 765 telephone interviews were completed from 22nd March to 1st April 2020 in Hong Kong, China. The dataset was representative of the population, with 18.4% of subjects reporting at least one NCD. Results showed that low household income and residence in government-subsidized housing were significant predictors for the subjects who experienced difficulty in managing during first 2 months of the pandemic (11% of the NCD patients). Of those on long-term NCD medication, 10% reported having less than one week's supply of medication. Targeted services for vulnerable groups during a pandemic should be explored to support NCD self-care.Entities:
Keywords: COVID-19; Health-EDRM; NCD management; early phase of pandemic; home care; non-communicable disease; self-care
Mesh:
Year: 2020 PMID: 32756382 PMCID: PMC7432008 DOI: 10.3390/ijerph17155588
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Difficulties reported by study samples for non-communicable diseases (NCD) management during COVID-19 pandemic (n = 16).
Perceived difficulties for NCD management by sociodemographic factors during the COVID-19 pandemic.
| Perceived No Difficulty ( | Perceived Difficulty ( | ||
|---|---|---|---|
|
| 0.394 | ||
| Male | 48.8% | 37.5% | |
| Female | 51.2% | 62.5% | |
|
| 0.307 | ||
| 18–24 | 3.2% | 0.0% | |
| 25–44 | 7.2% | 18.8% | |
| 45–64 | 45.6% | 31.3% | |
| 65 or above | 44.0% | 50.0% | |
|
| 0.087 | ||
| Primary level or below | 14.5% | 18.8% | |
| Secondary level | 54.0% | 75.0% | |
| Tertiary level | 31.5% | 6.3% | |
|
| 0.224 | ||
| Not living alone | 85.6% | 100.0% | |
| Living alone | 14.4% | 0.0% | |
|
| 0.289 | ||
| White collar | 24.2% | 6.3% | |
| Blue collar | 14.5% | 31.3% | |
| Housewives | 20.2% | 25.0% | |
| Students | 1.6% | 0.0% | |
| Unemployment or retired | 39.5% | 37.5% | |
|
| 0.012 * | ||
| Public housing | 32.0% | 18.8% | |
| Government subsidized housing | 10.4% | 31.3% | |
| Private housing | 57.6% | 43.8% | |
| Others | 0.0% | 6.3% | |
|
| 0.018 * | ||
| < 8000 | 22.8% | 12.5% | |
| 8000–19999 | 25.4% | 62.5% | |
| 20000–39999 | 20.2% | 18.8% | |
| 40000 or more | 31.6% | 6.3% |
a Fisher’s exact test. b USD = 7.8 HKD. * p < 0.05.