| Literature DB >> 34733394 |
Olamide Olajumoke Afolalu1, Oluwabusolami Esther Atekoja2, Zaccheus Opeyemi Oyewumi3, Semiu Opeyemi Adeyeye3, Karimat Itunu Jolayemi4, Oluwadamilare Akingbade5,6.
Abstract
INTRODUCTION: the COVID-19 pandemic since its emergence has posed a great danger to the health of the general populace while impacting the Nigerian healthcare delivery significantly. Since its emergence, the health system has been stretched with overwhelming responsibilities. The study assessed health providers´ perceived impact of coronavirus pandemic on the uptake of health care services in South West Nigeria.Entities:
Keywords: COVID-19; Nigeria; healthcare systems; uptake
Mesh:
Year: 2021 PMID: 34733394 PMCID: PMC8531964 DOI: 10.11604/pamj.2021.40.26.28279
Source DB: PubMed Journal: Pan Afr Med J
socio-demographic characteristics (n=385)
| Variables | n (%) |
|---|---|
|
| |
| Less than 20 | 3 (0.8) |
| 21-40 | 275 (71.4) |
| 41-60 | 107 (27.8) |
|
| |
| Female | 243 (63.1) |
| Male | 142 (36.9) |
|
| |
| Divorced/separated | 6 (1.6) |
| Married | 263 (68.3) |
| Single | 103 (26.7) |
| Widow/widower | 13 (3.4) |
|
| |
| Christianity | 264 (68.6) |
| Islam | 118 (30.6) |
| Traditional | 3 (0.8) |
|
| |
| CHEW | 28 (7.3) |
| CHO | 10 (2.6) |
| Medical doctor | 60 (15.6) |
| Medical laboratory scientist | 31 (8.1) |
| Medical laboratory technician | 7 (1.8) |
| Nursing | 184 (47.8) |
| Nutritionist | 12 (3.1) |
| Others (specify) | 9 (2.3) |
| Pharmacist | 28 (7.3) |
| Pharmacy technician | 5 (1.3) |
| Radiotherapist | 11 (2.8) |
|
| |
| Bachelor's degree | 227 (59.0) |
| Diploma | 87 (22.6) |
| Masters | 65 (16.9) |
| PhD | 6 (1.55) |
|
| |
| Less than 10 years | 115 (29.9) |
| 11-20 years | 134 (34.8) |
| 21-30 years | 69 (17.9) |
| 31-40 years | 67 (17.4) |
|
| |
| Rural (outside the city) | 63 (16.4) |
| Suburban (residential area bordering a city) | 111 (28.8) |
| Urban (in the city) | 211 (54.8) |
| Type of facility | |
| Government | 303 (78.7) |
| Mission | 13 (3.4) |
| Private | 69 (17.9) |
|
| |
| Not applicable | 26 (6.7) |
| Primary | 75 (19.5) |
| Secondary | 150 (39.0) |
| Tertiary | 134 (34.8) |
|
| |
| Lagos | 83 (21.6) |
| Ekiti | 72 (18.7) |
| Ogun | 66 (17.1) |
| Ondo | 51 (13.2) |
| Osun | 53 (13.8) |
| Oyo | 60 (15.6) |
CHEW: community health extension worker; CHO: chief happiness officer
impact of COVID-19 pandemic on Nigeria healthcare services (n=385)
| Variables | n (%) |
|---|---|
|
| |
| Yes | 184 (47.8) |
| No | 201 (52.2) |
|
| |
| 1-4 | 140 (76.1) |
| 5-8 | 44 (23.9) |
| Total | 184 (100.0) |
|
| |
| 1-5 | 34 (8.8) |
| Greater than 5 | 25 (6.5) |
| None | 326 (84.7) |
|
| |
| 0-7 | 366 (95.1) |
| 8-15 | 19 (4.9) |
|
| |
| None | 232 (60.3) |
| 1-20 | 153 (39.7) |
|
| |
| Yes | 346 (89.9) |
| No | 39 (10.1) |
pattern of healthcare utilization prior and during COVID-19 pandemic
| No of patients attended to | Prior n (%) mean score=32.7 | During n (%) mean score=24.9 | X2 (P-value) |
|---|---|---|---|
| 0-25 | 188 (48.8) | 236 (61.3) | 92.77 (0.000) |
| 26-50 | 136 (35.3) | 110 (28.6) | |
| 51-75 | 32 (8.3) | 32 (8.3) | |
| 76-100 | 26 (6.8) | 6 (1.6) | |
| Above 100 | 3 (0.8) | 1 (0.3) |
Figure 1pattern of healthcare utilization during COVID-19 pandemic
factors influencing uptake of health service during COVID-19 pandemic
| Variables | Agree | Neutral | Disagree |
|---|---|---|---|
| Fear of nosocomial infection | 287 (74.5%) | 48 (12.5%) | 50 (13.0%) |
| Lack of available infection control and prevention services | 244 (63.4%) | 67 (17.4%) | 74 (19.2%) |
| Fear of stigmatization | 284 (73.2%) | 46 (11.9%) | 57 (14.8%) |
| Adverse health outcomes resulting from accessibility barriers | 248 (64.4%) | 82 (21.3%) | 55 (14.3%) |
| Attitudes of healthcare providers/nature of hospital atmosphere during pandemic | 224 (58.2%) | 74 (19.2%) | 87 (22.6%) |
| Misconception/misinformation on COVID-19 diseases and care | 286 (74.3%) | 54 (14.0%) | 45 (11.7%) |
| Information on facility management | 240 (62.3%) | 54 (14.0%) | 91 (23.6%) |
| Long waiting times | 219 (56.9%) | 91 (23.6%) | 75 (19.5%) |
| Lack of available trained personnel | 184 (47.8%) | 54 (14.0%) | 147 (38.2%) |
| Cost of drugs and treatment | 244 (63.4%) | 66(17.1%) | 75 (19.5%) |
health-related conditions requiring hospitalization during COVID-19 pandemic
| Variables | n=423 (%) | Mean | Standard dev. |
|---|---|---|---|
|
| |||
| Extremely unlikely | 59 (15.3%) | 3.59 | 1.404 |
| Unlikely | 35 (9.1%) | ||
| Neutral | 17 (4.4%) | ||
| Likely | 159 (41.3%) | ||
| Extremely likely | 115 (29.9%) | ||
|
| |||
| Extremely unlikely | 37 (9.6%) | 3.88 | 1.300 |
| Unlikely | 32 (8.3%) | ||
| Neutral | 19 (4.9%) | ||
| Likely | 157 (40.8%) | ||
| Extremely likely | 140 (36.4%) | ||
|
| |||
| Extremely unlikely | 87 (22.6%) | 3.16 | 1.499 |
| Unlikely | 62 (16.1%) | ||
| Neutral | 40 (10.4%) | ||
| Likely | 126 (32.7%) | ||
| Extremely likely | 70 (18.2%) | ||
|
| |||
| Extremely unlikely | 48 (12.5%) | 3.47 | 1.329 |
| Unlikely | 56 (14.5%) | ||
| Neutral | 57 (14.8%) | ||
| Likely | 148 (38.4%) | ||
| Extremely likely | 76 (19.7%) | ||
|
| |||
| Extremely unlikely | 53 (13.8%) | 3.31 | 1.37 |
| Unlikely | 83 (21.6%) | ||
| Neutral | 50 (13.0%) | ||
| Likely | 133 (34.5%) | ||
| Extremely likely | 66 (17.1%) | ||
|
| |||
| Extremely unlikely | 88 (22.9%) | 3.18 | 1.486 |
| Unlikely | 61 (15.8%) | ||
| Neutral | 36 (9.4%) | ||
| Likely | 135 (35.1%) | ||
| Extremely likely | 65 (16.9%) | ||
|
| |||
| Extremely unlikely | 85 (22.1%) | 3.25 | 1.493 |
| Unlikely | 50 (13.0%) | ||
| Neutral | 32 (8.3%) | ||
| Likely | 143 (37.1%) | ||
| Extremely likely | 75 (19.5%) |
evaluation of health care services affected by coronavirus pandemic
| Variable | Never | Rarely | Usually |
|---|---|---|---|
| Antenatal services, obstetrics and gynaecologic services | 152 (39.5%) | 93 (24.2%) | 140 (36.4%) |
| In-patient and out-patient services | 93 (24.2%) | 106 (27.5%) | 186 (48.3%) |
| Emergency services | 154 (40.0%) | 78 (20.3%) | 153 (39.7%) |
| Laboratory services and pharmaceutical services | 137 (35.6%) | 117 (30.4%) | 131 (34.0%) |
| Surgery and medical services | 115 (29.9%) | 111 (28.8%) | 159 (41.3%) |
| Immunization services and family planning services | 160 (41.6) | 84 (21.8) | 141 (36.6) |