| Literature DB >> 35197355 |
Shehrin Shaila Mahmood1, Md Zahid Hasan2, A M Rumayan Hasan2, Md Golam Rabbani2, Farzana Begum2, Tariq Bin Yousuf3, Syed Manzoor Ahmed Hanifi2, Daniel D Reidpath2, Sabrina Rasheed2.
Abstract
OBJECTIVE: We aimed to rapidly assess the health system impact of COVID-19 in the urban slums of Bangladesh.Entities:
Keywords: COVID-19; health economics; health policy; public health
Mesh:
Year: 2022 PMID: 35197355 PMCID: PMC8882639 DOI: 10.1136/bmjopen-2021-057402
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Health system impact of COVID-19 on urban slum dwellers.
Background characteristics of household members (N=2140)
| Variables | n | % |
|
| ||
| ≤14 | 631 | 29.5 |
| 15–29 | 682 | 31.9 |
| 30–39 | 349 | 16.3 |
| 40–49 | 224 | 10.5 |
| 50–59 | 131 | 6.1 |
| ≥60 | 123 | 5.8 |
|
| ||
| Male | 1064 | 49.7 |
| Female | 1076 | 50.3 |
|
| ||
| No education | 680 | 31.8 |
| Primary | 701 | 32.8 |
| Secondary and above | 759 | 35.5 |
|
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| Currently unemployed | 1442 | 67.38 |
| Service holder | 261 | 12.20 |
| Businessman | 115 | 5.37 |
| Informal worker | 299 | 13.97 |
| Others | 23 | 1.07 |
|
| ||
| Married | 1130 | 52.8 |
| Unmarried | 776 | 36.3 |
| Others | 234 | 10.9 |
|
| ||
| Yes | 499 | 23.3 |
| No | 1641 | 76.7 |
|
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| No income | 546 | 25.5 |
| ≤8000 | 352 | 16.5 |
| 8001–14 000 | 557 | 26.0 |
| 14 001–20 000 | 362 | 16.9 |
| >20 000 | 323 | 15.1 |
|
| ||
| Poorest | 572 | 26.7 |
| Second | 279 | 13.0 |
| Third | 405 | 18.9 |
| Fourth | 433 | 20.2 |
| Richest | 451 | 21.1 |
Healthcare utilisation for general illness or symptoms in 14 days
| Variables | n | % |
|
| ||
| Yes | 251 | 11.7 |
| No | 1889 | 88.3 |
|
| ||
| Yes | 207 | 82.5 |
| No | 44 | 17.5 |
|
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| Cough | 83 | 33.1 |
| Fever | 81 | 32.3 |
| Pain/chest pain | 31 | 12.4 |
| Diarrhoea | 11 | 4.4 |
| Skin disease | 10 | 4.0 |
| Weakness | 6 | 2.4 |
| Shortness of breath | 5 | 2.0 |
| Injury/fractured | 5 | 2.0 |
| Others (e.g., vomiting, worms) | 19 | 7.6 |
|
| ||
| Yes | 227 | 90.4 |
| No | 24 | 9.6 |
| The problem was not critical | 14 | 51.9 |
| Financial constraints | 8 | 29.6 |
| Fear of COVID-19 | 3 | 11.1 |
| Others | 5 | 7.4 |
|
| ||
| The day the person got sick | 27 | 11.9 |
| One day later | 114 | 50.2 |
| Two days later | 52 | 22.9 |
| Three or more days later | 34 | 15.0 |
| Drug stores | 145 | 63.9 |
| Private hospitals | 37 | 16.3 |
| Public hospitals | 31 | 13.7 |
| NGO hospitals | 5 | 2.2 |
| Others (e.g., homeopathic) | 9 | 4 |
NGO, Non-Governmental Organization.
Chronic illness and healthcare utilisation among the households’ members aged 40 and above
| Variables | n | % |
|
| ||
| Yes | 120 | 25.1 |
| No | 358 | 74.9 |
|
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| Diabetes | 29 | 24.2 |
| Arthritis | 24 | 20.0 |
| Asthma | 19 | 15.8 |
| Cardiovascular disease | 16 | 13.3 |
| Hypertension | 11 | 9.2 |
| Psychological disorder | 4 | 3.3 |
| Chronic Ovarian disease | 3 | 2.5 |
| Liver disease | 3 | 2.5 |
| Others (e.g., gastric, prolonged injury) | 11 | 9.2 |
| Yes | 96 | 80.0 |
| No | 24 | 20.0 |
|
| ||
| Yes | 67 | 55.8 |
| No | 53 | 44.2 |
| The problem was not critical | 28 | 41.8 |
| Financial constraint | 25 | 37.3 |
| Fear of COVID-19 | 12 | 17.9 |
| Others (e.g., no accompanying person) | 3 | 3.0 |
| Public hospital | 15 | 22.4 |
| Private hospital | 18 | 26.9 |
| drug store | 31 | 46.3 |
| Others (e.g., homeopathic) | 3 | 4.5 |
Utilisation of maternity care (child delivery and pregnancy-related)
| Variables | n | % |
| Yes | 69 | 13.4 |
| No | 445 | 86.6 |
| Yes | 27 | 39.1 |
| No | 42 | 60.9 |
| The problem was not critical | 36 | 73.5 |
| Financial constraint | 7 | 14.3 |
| Fear of COVID-19 | 3 | 6.1 |
| Others (e.g., distance) | 3 | 6.1 |
| ANC | 16 | 48.5 |
| Delivery | 10 | 30.3 |
| PNC | 7 | 21.2 |
|
| ||
| Less or equal to three times | 12 | 75.0 |
| Four times plus | 4 | 25.0 |
|
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| Public hospital | 1 | 6.3 |
| Private hospital | 7 | 43.8 |
| NGO hospital | 7 | 43.8 |
| Others (e.g., trained birth attendant) | 1 | 6.3 |
|
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| Normal delivery | 8 | 80.0 |
| Caesarean delivery | 2 | 20.0 |
|
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| Home delivery | 3 | 30.0 |
| Institutional delivery | 7 | 70.0 |
|
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| Public hospital | 2 | 28.5 |
| Private hospital | 4 | 57.1 |
| NGO hospital | 1 | 14.3 |
|
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| One time | 4 | 57.1 |
| More than one time | 3 | 42.9 |
|
| ||
| Public hospital | 2 | 28.6 |
| Private hospital | 3 | 42.9 |
| NGO hospital | 1 | 14.3 |
| Others | 1 | 14.3 |
ANC, antenatal care; NGO, Non-Governmental Organization; PNC, postnatal care.
Figure 2Median out-of-pocket expenditure for healthcare. ANC, antenatal care; OOP, out-of-pocket; PNC, postnatal care.
Knowledge about access to COVID-19-related information
| Variables | Yes; n (%) | No; n (%) |
| Do you have access to quarantine facility nearby your house/ workplace? | 94 (19.8) | 382 (80.25) |
| Did you receive any message on COVID-19 prevention and treatment? | 244 (51.26) | 232 (48.74) |
| Do you know any hotline number to contact in case of any symptoms of you or others? | 234 (49.16) | 242 (50.84) |
Figure 3Source of information on COVID-19.