| Literature DB >> 34980605 |
Mikyias Kotiso1, Naseeb Qirbi1, Kahtan Al-Shabi2, Elena Vuolo1, Ali Al-Waleedi3, Jeremias Naiene4, Mikiko Senga1, Mohammed Khalil5, Huda Basaleem6, Ahmed Alhidary7.
Abstract
BACKGROUND: The COVID-19 pandemic has led to a global crisis, creating an unprecedented situation, which has taken the world by storm, overshadowing on all life' aspects and having a significant impact on the health systems of most countries. In this study, the delivery of health services is investigated both before and during the outbreak of the COVID-19 pandemic at public hospitals in Yemen to assess the impact of COVID-19 on the utilisation of health services.Entities:
Keywords: COVID-19; infection control; infectious diseases; public health
Mesh:
Year: 2022 PMID: 34980605 PMCID: PMC8724586 DOI: 10.1136/bmjopen-2020-047868
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Data collection timeframe from the targeted hospitals. The used data represent the 3 months before the outbreak of COVID-19 in Yemen, January–March 2020, and the 3 months during the COVID-19 outbreak, April and June 2020. The results were then compared with the same period of the year 2019, January–June.
Overview of number of health services delivered, January–June, 2019 and 2020
| Statement | Consultations* | Surgery† | Deliveries‡ | C-sections | Penta-3rd dose | |||||
| 2019§ | 20205 | 2019* | 2020† | 2019* | 2020† | 2019* | 2020† | 2019* | 2020† | |
| January | 546 046 | 638 142 | 23 766 | 23 998 | 12 094 | 12 467 | 3199 | 3903 | 6479 | 6441 |
| February | 553 410 | 635 718 | 22 642 | 24 427 | 10 785 | 13 100 | 3005 | 4095 | 5854 | 6326 |
| March | 587 732 | 597 296 | 24 724 | 22 480 | 11 296 | 12 609 | 3206 | 3865 | 6373 | 6552 |
| April | 583 593 | 528 323 | 22 277 | 20 806 | 11 201 | 11 486 | 3232 | 3698 | 5905 | 5712 |
| May | 459 220 | 353 808 | 20 615 | 14 127 | 12 240 | 12 900 | 3328 | 3736 | 4885 | 2799 |
| June | 551 365 | 384 418 | 20 501 | 15 131 | 13 216 | 11 038 | 3386 | 3397 | 5146 | 4497 |
| Total | 3 271 878 | 3 137 705 | 134 525 | 120 969 | 70 832 | 73 600 | 19 356 | 22 694 | 34 642 | 32 327 |
*All beneficiaries who visited the clinic or emergency room in a health facility in specific period to meet a health professional practitioner during the working hours for diagnosis, treatment, general check-up or advice.
†Surgeries include major and minor surgeries.
‡Year of 2019 is the comparison period and included the months from January to Jan.
§Year of 2020 is the study year and included prepandemic period that included months from January to March and during pandemic which included the months from April to June.
Figure 2The trends of the five health services in pre-COVID-19 and during the COVID-19 outbreak compared with the same period of the year 2019. Note that the results showed that the consultations, surgeries and vaccinated children number have been declined during the COVID-19 pandemic. In regards to the C-section, services remained nearly in the same level, and did not affect by the COVID-19 pandemic.
Results of the liner GEE model, the effect of COVID-19 outbreak on the services utilisation*, df†=1
| Dependent variables | Parameters | B | SE | 95% CI‡ | χ2 | Sig |
| Consultations | Intercept | 4573.81 | 552.06 | 3491.8 to 5655.8 | 68.642 | <0.001 |
| Condition§ | 1,76.69 | 140.84 | −99.4 to 452.7 | 1.574 | 0.21 | |
| February | 19.45 | 85.39 | −147.9 to 186.8 | 0.052 | 0.82 | |
| March | 38.84 | 117.35 | 191.2 to 268.8 | 0.110 | 0.74 | |
| April | −284.54 | 126.30 | −532.1 to −36.9 | 5.075 | 0.02 | |
| May | −1461.26 | 200.67 | −1854.6 to −1067.9 | 53.030 | <0.001 | |
| Jun | −977.9 | 188.44 | −1347.3 to −608.6 | 26.934 | <0.001 | |
| Surgeries | Intercept | 215.99 | 38.72 | 140.10 to 291.88 | 31.114 | <0.001 |
| Condition§ | 30.25 | 14.92 | 1.01 to 59.49 | 4.111 | 0.043 | |
| February | −27.50 | 14.81 | −56.54 to 1.53 | 3.448 | 0.063 | |
| March | −32.28 | 14.51 | −60.73 to −3.84 | 4.949 | 0.026 | |
| April | −25.20 | 11.32 | −47.38 to −3.02 | 4.959 | 0.026 | |
| May | −54.98 | 12.32 | −79.13 to −30.83 | 19.911 | <0.001 | |
| Jun | −85.03 | 26.03 | −136.05 to −34.02 | 10.673 | 0.001 | |
| Penta-3rd dose | Intercept | 58.57 | 6.30 | 46.21 to 70.93 | 86.309 | 0.000 |
| Condition§ | 3.61 | 1.75 | 0.18 to 7.03 | 4.263 | 0.039 | |
| February | −3.46 | 1.62 | −6.63 to −0.29 | 4.567 | 0.033 | |
| March | 0.02 | 2.22 | −4.32 to 4.37 | 0.000 | 0.992 | |
| April | −6.09 | 2.18 | −10.36 to −1.82 | 7.799 | 0.005 | |
| May | −24.47 | 3.11 | −30.56 to −18.38 | 62.010 | 0.000 | |
| Jun | −15.31 | 2.48 | −20.18 to −10.45 | 38.075 | 0.000 | |
| Deliveries | Intercept | 112.71 | 12.45 | 88.32 to 137.11 | 81.985 | 0.000 |
| Condition§ | −4.16 | 3.24 | −10.50 to 2.19 | 1.649 | 0.199 | |
| February | −3.05 | 3.89 | −10.67 to 4.58 | 0.612 | 0.434 | |
| March | −2.95 | 4.47 | −11.72 to 5.81 | 0.437 | 0.509 | |
| April | −8.44 | 4.39 | −17.06 to 0.17 | 3.689 | 0.055 | |
| May | 2.61 | 4.34 | −5.90 to 11.11 | 0.361 | 0.548 | |
| Jun | −1.38 | 4.44 | −10.08 to 7.32 | 0.097 | 0.755 | |
| C-sections | Intercept | 60.78 | 8.24 | 44.62 to 76.94 | 54.344 | 0.000 |
| Condition§ | −8.83 | 3.43 | −15.56 to −2.11 | 6.624 | 0.010 | |
| February | −0.02 | 1.83 | −3.60 to 3.57 | 0.000 | 0.993 | |
| March | −0.25 | 2.41 | −4.96 to 4.47 | 0.010 | 0.919 | |
| April | −1.37 | 2.63 | −6.51 to 3.78 | 0.270 | 0.603 | |
| May | −0.30 | 2.25 | −4.70 to 4.10 | 0.018 | 0.893 | |
| Jun | −2.53 | 2.57 | −7.58 to 2.51 | 0.968 | 0.325 |
January was used as reference.
*Dependent variable: surgeries, probability distribution: normal, number of hospitals: model: (Intercept), condition, months, working correlation matrix structure: exchangeable.
†df is degree of freedom.
‡95% CI: if the 95% CI, contains zero (null value), then there are no statistical significant differences.
§Condition is the COVID-19 period (2020) and comparison period (2019).