1
|
Muluneh AG, Merid MWM, Kassa GM. Hotspots of un-iodized salt availability among Ethiopian households, evidence from the national survey data. J Health Popul Nutr 2023; 42:20. [PMID: 36927806 PMCID: PMC10021937 DOI: 10.1186/s41043-023-00359-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 03/01/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND Universal salt iodization was started before decades but there are communities using the un-iodized salt till now. More than one-tenth of the Ethiopian community uses un-iodized salt. OBJECTIVE This study aimed to identify the hotspots and associate factors of un-iodized salt availability in Ethiopia based on Ethiopian national household survey data. METHODS We conducted an in-depth analysis of the Ethiopian Demographic and Health Survey 2016 data. A total of 15,567 households were included in the final analysis. We cleaned and weighed the data using Stata version 16 software and descriptive outputs were reported in graphs and tables. We computed the weighted prevalence of un-iodized salt and prepared it for spatial analysis. Global-level spatial autocorrelation, hotspot analysis using the Getis-Ord Gi* statistics, and spatial interpolation using empirical Bayesian interpolation were executed using ArcGIS 10.3 to predict the magnitude of un-iodized salt at the national level. The binary logistics regression model was used to identify the contributing factors of un-iodized salt utilization. Model goodness of fit was tested with Hosmer and Lemeshow goodness-of-fit test (P = 0.96). Finally, the adjusted odds ratio (AOR) with 95% CI was reported to identify significant factors. RESULTS The magnitude of un-iodized salt availability was 14.19% (95% CI: 13.65, 14.75) among Ethiopian households. Un-iodized salt hotspots were found in Afar, Somalia, and Benishangul Gumuz regions. Compared to poorest wealth index: poorer (AOR = 0.55, 95% CI: 0.48, 0.64), middle (AOR = 0.51, 95% CI: 0.44, 0.60), richer (AOR = 0.55, 95% CI: 0.47, 0.64), and richest (AOR = 0.61, 95% CI: 0.50, 0.75); compared to uneducated household head: heads with secondary (AOR = 0.72, 95% CI: 0.60, 0.67) and above secondary (AOR = 0.54, 95% CI: 0.43, 0.67) education reduced the odds of un-iodized salt viability, while households living in highland (AOR = 1.16, 95% CI: 1.05, 1.29) had increased the odds of un-iodized salt availability. CONCLUSION More than a tenth of the households in Ethiopia uses un-iodized salt. Hotspots of un-iodized salt availability were found in Somali and Afar regions of Ethiopia. Better wealth index and education of the household heads reduces the odds of un-iodized salt availability while living in a high altitude above 2200 m increases the odds of un-iodized salt availability in Ethiopia.
Collapse
Affiliation(s)
- Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, P.O. Box 196, Gondar, Ethiopia.
| | - Mehari W Mariam Merid
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, P.O. Box 196, Gondar, Ethiopia
| | - Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, P.O. Box 196, Gondar, Ethiopia
| |
Collapse
|
2
|
Goshu Muluneh A, Woldemariam Merid M, Tigabu B, Getie Ferede M, Molla Kassa G, Animut Y. Less than one-fifth of Ethiopian children were vaccinated for measles second dose; evidence from the Ethiopian mini demographic and health survey 2019. Vaccine X 2022; 12:100217. [PMID: 36148266 PMCID: PMC9486014 DOI: 10.1016/j.jvacx.2022.100217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 09/02/2022] [Accepted: 09/06/2022] [Indexed: 11/27/2022] Open
Abstract
Ethiopia introduced the measles second dose vaccine from the routine expanded immunization program in 2018. Shreds of evidence are scarce on the measles second dose vaccination coverage and its associated factors in Ethiopia. We aimed to assess the measles second dose vaccination coverage and associated factors in Ethiopia using the recent Ethiopian Mini Demographic and Health Survey (EMDHS) 2019 data. An in-depth secondary data analysis was conducted based on the Ethiopian mini demographic and health survey 2019 data; which was a cross-sectional survey targeted on key indicators of maternal and child health. A weighted sample of 965 children was included in the analysis. A multi-level mixed effect logistics regression model was fitted. Adjusted Odds Ratio (AOR) with 95 %CI was reported for statistically significant variables. The measles second dose coverage was 12.36 % (95 %CI = 10.89, 15.44). Not vaccinated for the third dose of pentavalent vaccine (Penta 3) (AOR = 0.60, 95 %CI: 0.37, 0.95), age of the child [13 to 23 months (AOR = 2.14, 95 %CI: 1.05, 4.36), 24 to 36 months (AOR = 2.58, 95 %CI: 1.32, 5.05)], household head educational status [no education (AOR = 0.51,95 %CI: 0.26, 0.99), primary (AOR = 0.44, 95 %CI: 0.23, 0.85)], and living in south nation, nationalities and peoples region (SNNPR) (AOR = 2.83,95 %CI: 1.12, 7.11) were significantly associated with measles second dose vaccination coverage. Measles second dose vaccination coverage was low in Ethiopia. Age of the child, being vaccinated for the Penta 3, educational status of the household head, and region of residence were significant determinants of measles second dose vaccination coverage.
Collapse
|
3
|
Muluneh AG, Merid MW, Kassa GM, Bitew DA, Ferede MG. Hotspots and determinants of women's discriminatory attitude towards people living with HIV; evidence from ethiopian demographic and health survey data. BMC Womens Health 2022; 22:420. [PMID: 36271378 PMCID: PMC9587567 DOI: 10.1186/s12905-022-01997-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 10/04/2022] [Indexed: 11/05/2022] Open
Abstract
Background Human Immunodeficiency Virus (HIV) is the major public health concern in Ethiopia with more profound effect on women. Discriminatory attitude towards people living with HIV (PLWH) impose a significant impact on patient outcomes and related issues. Hence, this study aimed to investigate the hotspot areas and determinant factors of women’s discriminatory attitude towards people living with HIV. Methods An in-depth secondary data analysis was conducted based on Ethiopian demographic and health survey (EDHS) 2016. A total of weighed 13,822 reproductive-age women were included in the analysis. The non-spatial analysis was conducted using Stata 16. A mixed effect multi-level logistic regression model was fitted to identify determinant factors of discriminatory attitude towards PLWH. A p-value < 0.2 and 0.05 were used as a cut-off point to declare statistical significance for the bi- and multi-variable regression models, respectively. Four separate models i.e. the null, individual, community level model, and a fourth combined model were fitted. Model comparison was done using deviance. Random effect parameters such as correlation coefficient, median odds ratio, and proportional change in variance were used to explain the variation between and within clusters. Global and local level spatial analyses were conducted using Global Moran’s index, GetisOrd Gi* statistics, and Spatial scan statistics were conducted. Results The magnitude of women’s discriminatory attitude towards PLWH was 62.66% (95%CI: 60.12, 65.10). The discriminatory attitude of women towards PLWH was spatially clustered (Moran’s index = 0.41, P < 0.01). The hotspots of discriminatory attitude towards PLWH were detected in most parts of the Tigray region; Northern, and southeast borders of the Amhara region; Addis Ababa city; Central, Southern, and western Oromiya region; and East, south, and northeastern parts of South Nations, Nationalities and Peoples Region (SNNPR). Being rural resident, and having no media exposure were positively associated while better educational statuses, better wealth index, unmarried, having comprehensive HIV knowledge, Orthodox religion fellow, and ever being tested for HIV were negatively associated with women’s discriminatory attitude towards people living with HIV. Conclusion Discriminatory attitude of women towards PLWH was high in Ethiopia. Hotspots were detected in Amhara, Oromiya, SNNPR, Tigray regions, and Addis Ababa city. Socio-demographic, socio-economic, and HIV knowledge-related factors determine the women’s discriminatory attitude towards PLWH.
Collapse
Affiliation(s)
- Atalay Goshu Muluneh
- grid.59547.3a0000 0000 8539 4635Department of Epidemiology and Biostatistics, Institute of Public health, college of medicine and Health sciences, University of Gondar, Gondar, Ethiopia
| | - Mehari Woldemariam Merid
- grid.59547.3a0000 0000 8539 4635Department of Epidemiology and Biostatistics, Institute of Public health, college of medicine and Health sciences, University of Gondar, Gondar, Ethiopia
| | - Getahun Molla Kassa
- grid.59547.3a0000 0000 8539 4635Department of Epidemiology and Biostatistics, Institute of Public health, college of medicine and Health sciences, University of Gondar, Gondar, Ethiopia
| | - Desalegn Anmut Bitew
- grid.59547.3a0000 0000 8539 4635Department of Reproductive health, Institute of Public health, College of medicine and Health sciences, University of Gondar, Gondar, Ethiopia
| | - Menberesibhat Getie Ferede
- grid.59547.3a0000 0000 8539 4635Departments of Human Anatomy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
4
|
Fentie DT, Kassa GM, Tiruneh SA, Muche AA. Development and validation of a risk prediction model for lost to follow-up among adults on active antiretroviral therapy in Ethiopia: a retrospective follow-up study. BMC Infect Dis 2022; 22:727. [PMID: 36071386 PMCID: PMC9449961 DOI: 10.1186/s12879-022-07691-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 08/12/2022] [Indexed: 11/10/2022] Open
Abstract
Background Over 420,000 people have initiated life-saving antiretroviral therapy (ART) in Ethiopia; however, lost-to-follow-up (LTFU) rates continues to be high. A clinical decision tool is needed to identify patients at higher risk for LTFU to provide individualized risk prediction to intervention. Therefore, this study aimed to develop and validate a statistical risk prediction tool that predicts the probability of LTFU among adult clients on ART. Methods A retrospective follow-up study was conducted among 432 clients on ART in Gondar Town, northwest, Ethiopia. Prognostic determinates included in the analysis were determined by multivariable logistic regression. The area under the receiver operating characteristic (AUROC) and calibration plot were used to assess the model discriminative ability and predictive accuracy, respectively. Individual risk prediction for LTFU was determined using both regression formula and score chart rule. Youden index value was used to determine the cut-point for risk classification. The clinical utility of the model was evaluated using decision curve analysis (DCA). Results The incidence of LTFU was 11.19 (95% CI 8.95–13.99) per 100-persons years of observation. Potential prognostic determinants for LTFU were rural residence, not using prophylaxis (either cotrimoxazole or Isoniazid or both), patient on appointment spacing model (ASM), poor drug adherence level, normal Body mass index (BMI), and high viral load (viral copies > 1000 copies/ml). The AUROC was 85.9% (95% CI 82.0–89.6) for the prediction model and the risk score was 81.0% (95% CI 76.7–85.3) which was a good discrimination probability. The maximum sensitivity and specificity of the probability of LTFU using the prediction model were 72.07% and 83.49%, respectively. The calibration plot of the model was good (p-value = 0.350). The DCA indicated that the model provides a higher net benefit following patients based on the risk prediction tool. Conclusion The incidence of LTFU among clients on ART in Gondar town was high (> 3%). The risk prediction model presents an accurate and easily applicable prognostic prediction tool for clients on ART. A prospective follow-up study and external validation of the model is warranted before using the model. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-022-07691-x.
Collapse
Affiliation(s)
- Dawit Tefera Fentie
- Department of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
| | - Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, Ethiopia
| | - Sofonyas Abebaw Tiruneh
- Department of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia
| | - Achenef Asmamaw Muche
- Department of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
5
|
Muluneh AG, Asratie MH, Gebremariam T, Adu A, Enyew MM, Cherkos EA, Melkamu S, Berta M, Mamo W, Kassahun D, Tsega NT, Kebede AA, Asmamaw DB, Kassa GM, Mihret MS. Lifetime adverse pregnancy outcomes and associated factors among antenatal care booked women in Central Gondar zone and Gondar city administration, Northwest Ethiopia. Front Public Health 2022; 10:966055. [PMID: 36033730 PMCID: PMC9399634 DOI: 10.3389/fpubh.2022.966055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 07/22/2022] [Indexed: 01/24/2023] Open
Abstract
Background In developing countries, adverse pregnancy outcomes are major public health issues. It is one of the leading causes of neonatal morbidity and mortality worldwide. Despite the fact that ending prenatal mortality and morbidity is one of the third Sustainable Development Goals (SDG), the burden of the problem continues to be a huge concern in developing countries, including Ethiopia. Hence, this study aimed to determine the prevalence and associated factors of lifetime adverse pregnancy outcomes among antenatal care (ANC) booked women in Northwest Ethiopia. Methods An institutional-based cross-sectional study design was conducted in Northwest Ethiopia, between March 2021 and June 2021. A multi-stage stratified random sampling technique was employed to recruit participants. An interviewer-administered and checklist questionnaire were used to collect the data. The data were entered into Epi-data version 4.6 software and exported to Stata version 16 for analysis. The binary logistic regression model was fitted to identify an association between associated factors and the outcome variable. Variables with a p-value of < 0.05 in the multivariable logistic regression model were declared as statistically significant. Results In this study, the lifetime prevalence of adverse pregnancy outcome among study participants was 14.53% (95%CI: 11.61, 18.04). Road access to the health facilities (AOR = 2.62; 95% CI: 1.14, 6.02) and husband-supported pregnancy (AOR = 2.63; 95 CI: 1.46, 4.72) were significantly associated with adverse pregnancy outcomes. Conclusions More than one in 10 reproductive age women had adverse pregnancy outcome throughout their life. Road access to health facilities and husband-supported pregnancy were statistically significant factors for adverse events in pregnancy. Therefore, it is better to give more attention to expanding infrastructure like road accessibility and increasing husband-supported pregnancy to reduce adverse pregnancy outcomes.
Collapse
Affiliation(s)
- Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Melaku Hunie Asratie
- Department of Women's and Family Health, School of Midwifery, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Tesfamichael Gebremariam
- Department of Surgical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Aynalem Adu
- Department of Surgical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mihretu Molla Enyew
- Department of Clinical Midwifery, School of Midwifery, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Endeshaw Admasu Cherkos
- Department of Women's and Family Health, School of Midwifery, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Senetsehuf Melkamu
- Department of Surgical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Martha Berta
- Department of Women's and Family Health, School of Midwifery, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Worku Mamo
- North Gondar Zonal Health Department, Carter Center Zonal Project Coordinator, Gondar, Ethiopia
| | - Dawit Kassahun
- Department of Obstetrics and Gynecology, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Nuhamin Tesfa Tsega
- Department of Women's and Family Health, School of Midwifery, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Azmeraw Ambachew Kebede
- Department of Clinical Midwifery, School of Midwifery, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Desale Bihonegn Asmamaw
- Department of Reproductive Health, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia,*Correspondence: Desale Bihonegn Asmamaw
| | - Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Muhabaw Shumye Mihret
- Department of Clinical Midwifery, School of Midwifery, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
6
|
Muluneh AG, Merid MW, Gelaye KA, Tilahun SY, Teshager NW, Abereha AY, Sugamo KS, Yimer MA, Kassa GM. More Than Three-Fourths of AstraZeneca (ChAdox1 COV-19) COVID-19 Vaccinated Individuals Develop Post Immunization Adverse Event in Northwest Ethiopia. Infect Drug Resist 2022; 15:2409-2416. [PMID: 35535029 PMCID: PMC9078864 DOI: 10.2147/idr.s360605] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 04/21/2022] [Indexed: 12/23/2022] Open
Abstract
Background Ethiopia was using the ChAdOx1 COV-19 vaccine, and health professionals were targets of the first phase of the vaccination strategy. Evidence on the adverse events following immunization (AEFI) was barely available. The study aimed to assess the magnitude and associated factors of adverse events following ChAdOx1 COV-19 immunization among health professionals of the University of Gondar Specialized and Comprehensive Hospital, 2021. Methods An institution-based cross-sectional study was conducted among health professionals of the University of Gondar Comprehensive and specialized referral hospital. All health professionals who took the ChAdOx1 COV-19 vaccine in the 1st phase were surveyed. A total of 314 health professionals who took the ChAdOx1 COV-19 vaccine were included. The EpiData version 4.6.0.0 and Stata 16 were used for data entry and analysis, respectively. A binary logistic regression was used to identify statistically significant factors associated with AEFI. Chi-square and multicollinearity assumptions were tested. A p-value <0.2 and 0.05 were used as cut-off values of significance in the bi- and multivariable logistic regression models, respectively. An adjusted odds ratio (AOR) with 95% CI was reported for statistically significant variables. Results Among 314 study participants, 263 of them had at least one mild to severe AEFI of ChAdOx1 COV-19 with a prevalence of AEFI of 83.76% (95% CI: 79.23, 87.46). The commonest AEFI observed were injection site tenderness (n=198/263), fatigue (114/263), headache (n=107/263), and muscle pain (n=85/263). Females (AOR=2.75, 95% CI: 1.15, 6.58), and participants who felt the vaccine was unsafe (AOR=2.84, 95% CI: 1.03, 7.85) were having nearly three times more odds of AEFI immunization as compared to males and those who felt the vaccine was safe, respectively. Conclusion Adverse event following immunization has been a public health problem in Northwest Ethiopia. Being female and having a feeling that the vaccine is unsafe were statistically significantly associated with AEFI.
Collapse
Affiliation(s)
- Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Correspondence: Atalay Goshu Muluneh, Email
| | - Mehari Woldemariam Merid
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Kassahun Alemu Gelaye
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Sewbesew Yitayih Tilahun
- Department of Psychiatry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Nahom Worku Teshager
- Department of Pediatrics and Child health, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Aklilu Yiheyis Abereha
- Department of Surgery, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Kalkidan Samuel Sugamo
- Department of Internal medicine, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mulugeta Ayalew Yimer
- Department of Pediatrics and Child health, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
7
|
Azene ZN, Merid MW, Muluneh AG, Geberu DM, Kassa GM, Yenit MK, Tilahun SY, Gelaye KA, Mekonnen HS, Azagew AW, Wubneh CA, Belay GM, Asmamaw NT, Agegnehu CD, Azale T, Tamiru AT, Rade BK, Taye EB, Taddese AA, Andualem Z, Dagne H, Gashaye KT, Kabito GG, Mekonnen TH, Daba S, Azanaw J, Adane T, Alemayehu M. Correction: Adherence towards COVID-19 mitigation measures and its associated factors among Gondar City residents: A community-based cross-sectional study in Northwest Ethiopia. PLoS One 2021; 16:e0256954. [PMID: 34437652 PMCID: PMC8389361 DOI: 10.1371/journal.pone.0256954] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
[This corrects the article DOI: 10.1371/journal.pone.0244265.].
Collapse
|
8
|
Dewau R, Angaw DA, Kassa GM, Dagnew B, Yeshaw Y, Muche A, Feleke DG, Molla E, Yehuala ED, Tadesse SE, Yalew M, Fentaw Z, Asfaw AH, Andargie A, Chanie MG, Ayele WM, Hassen AM, Damtie Y, Hussein FM, Asfaw ZA, Addisu E, Adane B, Ayele FY, Kefale B, Zerga AA, Mekonnen TC, Necho M, Ebrahim OA, Adane M, Ayele TA. Urban-rural disparities in institutional delivery among women in East Africa: A decomposition analysis. PLoS One 2021; 16:e0255094. [PMID: 34329310 PMCID: PMC8323938 DOI: 10.1371/journal.pone.0255094] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 07/09/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Though institutional delivery plays a significant role in maternal and child health, there is substantial evidence that the majority of rural women have lower health facility delivery than urban women. So, identifying the drivers of these disparities will help policy-makers and programmers with the reduction of maternal and child death. METHODS The study used the data on a nationwide representative sample from the most recent rounds of the Demographic and Health Survey (DHS) of four East African countries. A Blinder-Oaxaca decomposition analysis and its extensions was conducted to see the urban-rural differences in institutional delivery into two components: one that is explained by residence difference in the level of the determinants (covariate effects), and the other components was explained by differences in the effect of the covariates on the outcome (coefficient effects). RESULTS The findings showed that institutional delivery rates were 21.00% in Ethiopia, 62.61% in Kenya, 65.29% in Tanzania and 74.64% in Uganda. The urban-rural difference in institutional delivery was higher in the case of Ethiopia (61%), Kenya (32%) and Tanzania (30.3%), while the gap was relatively lower in the case of Uganda (19.2%). Findings of the Blinder-Oaxaca decomposition and its extension showed that the covariate effect was dominant in all study countries. The results were robust to the different decomposition weighting schemes. The frequency of antenatal care, wealth and parity inequality between urban and rural households explains most of the institutional delivery gap. CONCLUSIONS The urban-rural institutional delivery disparities were high in study countries. By identifying the underlying factors behind the urban-rural institutional birth disparities, the findings of this study help in designing effective intervention measures targeted at reducing residential inequalities and improving population health outcomes. Future interventions to encourage institutional deliveries to rural women of these countries should therefore emphasize increasing rural women's income, access to health care facilities to increase the frequency of antenatal care utilization.
Collapse
Affiliation(s)
- Reta Dewau
- Department of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
- * E-mail:
| | - Dessie Abebaw Angaw
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Baye Dagnew
- Department of Physiology, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Yigizie Yeshaw
- Department of Physiology, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Amare Muche
- Department of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Dejen Getaneh Feleke
- Department of Neonatal Nursing, College of Medicine and Health Sciences, Debretabor University, Debretabor, Ethiopia
| | - Eshetie Molla
- Department of Public Health, College of Medicine and Health Sciences, Debretabor University, Debretabor, Ethiopia
| | - Enyew Dagnew Yehuala
- Department of Midwifery College of Medicine and Health Sciences, Debretabor University, Debretabor, Ethiopia
| | - Sisay Eshete Tadesse
- Department of Public Health Nutrition, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Melaku Yalew
- Department of Reproductive and Family Health, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Zinabu Fentaw
- Department of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Ahmed Hussien Asfaw
- Department of Public Health Nutrition, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Assefa Andargie
- Department of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Muluken Genetu Chanie
- Department of Health System and Policy, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Wolde Melese Ayele
- Department of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Anissa Mohammed Hassen
- Department of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Yitayish Damtie
- Department of Reproductive and Family Health, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Foziya Mohammed Hussein
- Department of Public Health Nutrition, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Zinet Abegaz Asfaw
- Department of Reproductive and Family Health, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Elsabeth Addisu
- Department of Reproductive and Family Health, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Bezawit Adane
- Department of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Fanos Yeshanew Ayele
- Department of Public Health Nutrition, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Bereket Kefale
- Department of Reproductive and Family Health, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Aregash Abebayehu Zerga
- Department of Public Health Nutrition, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Tefera Chane Mekonnen
- Department of Public Health Nutrition, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Mogesie Necho
- Department of Psychiatry, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | | | - Metadel Adane
- Department of Environmental Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Tadesse Awoke Ayele
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
9
|
Kassa GM, Merid MW, Muluneh AG. Khat Chewing and Clinical Conditions Determine the Epidemiology of Primary Drug Resistance Tuberculosis in Amhara Region of Ethiopia: A Multicenter Study. Infect Drug Resist 2021; 14:2449-2460. [PMID: 34234475 PMCID: PMC8255900 DOI: 10.2147/idr.s316268] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 06/18/2021] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Rifampicin and/or multidrug-resistant tuberculosis (RR/MDR-TB) remains an uncontrolled public health emergency that has been synergized by the recently increased person-to-person transmission in the community as primary RR/MDR-TB, which is defined as RR/MDR-TB in new TB patients with no prior exposure to anti-TB treatment for more than one month. This study aimed to measure the prevalence and associated factors of primary drug-resistance among drug-resistant tuberculosis patients, as evidenced by the Amhara region treatment initiating centers. METHODS An institutional-based multicenter cross-sectional study was conducted from September 2010 to December 2017, among 580 RR/MDR-TB patients on the second-line anti-TB drug in the Amhara regional state. Data were collected from patient charts and registration books using a standardized data abstraction sheet. The data were entered using Epi-data 4.2.0.0 and transferred to Stata 14 software for further data management and analysis. A bivariable and multivariable binary logistic model was run subsequently, and finally, a p-value of less than 0.05 with a 95% confidence interval (CI) was used to declare the significance of the explanatory variable. RESULTS The magnitude of primary drug resistance among drug-resistant tuberculosis patients was 15.69% (95% CI: 12.94, 18.89). Alcohol drinking (adjusted odds ratio [AOR] = 0.31, 95% CI: 0.12-0.82), khat chewing (AOR = 4.43; 95% CI: 1.67-11.76), ambulatory and bedridden functional status (AOR = 0.43; 95% CI: 0.24-0.76) and (AOR = 0.41; 95% CI: 0.19-0.91), respectively, positive sputum smear result (AOR = 0.48; 95% CI: 0.26-0.90), and HIV coinfection (AOR= 2.31; 95% CI: 1.31-4.06) remained statistically significant associated factors of primary RR/MDR-TB. CONCLUSION Primary drug resistance is a public health problem in the study setting. Different behavioral and clinical conditions were significant factors of primary drug-resistant development. Mitigation strategies targeted on the patient's clinical condition, substance-related behaviors, and universal DST coverage might be very important for early detection and treatment of RR/MDR-TB to prevent community-level transmission.
Collapse
Affiliation(s)
- Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences and Specialized Comprehensive Hospitals, University of Gondar, Gondar, Ethiopia
| | - Mehari Woldemariam Merid
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences and Specialized Comprehensive Hospitals, University of Gondar, Gondar, Ethiopia
| | - Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences and Specialized Comprehensive Hospitals, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
10
|
Taddese AA, Azene ZN, Merid MW, Muluneh AG, Geberu DM, Kassa GM, Yenit MK, Tilahun SY, Gelaye KA, Mekonnen HS, Azagew AW, Wubneh CA, Belay GM, Assimamaw NT, Agegnehu CD, Azale T, Tamiru AT, Rade BK, Taye EB, Andualem Z, Dagne H, Gashaye KT, Kabito GG, Mekonnen TH, Daba S, Azanaw J, Adane T, Alemayehu M. Knowledge and attitude of the communities towards COVID-19 and associated factors among Gondar City residents, northwest Ethiopia: A community based cross-sectional study. PLoS One 2021; 16:e0248821. [PMID: 33861758 PMCID: PMC8051777 DOI: 10.1371/journal.pone.0248821] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 03/06/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND COVID-19 is the novel coronavirus responsible for the ongoing global outbreak of acute respiratory disease and viral pneumonia. In order to tackle the devastating condition of the virus, countries need to attack the virus with aggressive and targeted tactics. Thus, to strengthen the COVID-19 mitigation measures and to give rapid response, there is an urgent need to understand the public's knowledge and attitude about of the pandemic at this critical moment. OBJECTIVE This study was aimed to assess the knowledge and attitude of communities about COVID-19 and associated factors among Gondar City residents. METHODS A community based cross-sectional study was done among 623 respondents in Gondar city from April 20-27/2020. Data were collected using a structured questionnaire adapted from different literatures. The data were entered using Epi data version 3.1 and then exported into STATA version 14 for analysis. Bi-variable and multivariable binary logistic regression were performed. Adjusted odds ratio with 95% CI was used to declare statistically significant variables on the basis of p value less than 0.05 in the multivariable binary logistic regression model. RESULTS The overall knowledge and attitude of the community towards COVID19 was 51.85% [95% CI (47.91%-55.78%)] and 53.13% [95% CI (49.20, 57.06%)], respectively. In this study, being married [AOR = 0.60 at 95% CI: (0.42, 0.86)], educational level; primary [AOR = 3.14 at 95% CI: (1.78,5.54)], secondary [AOR = 2.81 at 95% CI: (1.70,4.63)], college and above [AOR = 4.49 at 95% CI: 7.92, 13.98)], and family size [AOR = 1.80, at 95% CI: (1.05, 3.08)] were emerged as statistically significant factors impacting the knowledge of the community about COVID-19. Besides, educational level; primary [AOR = 1.76 at 95% CI: (1.03, 3.01)], secondary [AOR = 1.69 at 95% CI: (1.07, 2.68)], and college & above [AOR = 2.38 at 95% CI: (1.50, 3.79)], and family size; four to six members [AOR = 1.84 at 95% CI (1.27, 2.67)], above seven members [AOR = 1.79 at 95% CI (1.08, 2.96)] were factors identified as significantly attribute for positive attitude of the communities towards COVID-19. CONCLUSION More than half of the respondents had better knowledge and attitude regarding COVID-19. Higher educational level and larger family size were significant factors predominantly affecting the knowledge and attitude of the communities towards COVID-19.
Collapse
Affiliation(s)
- Asefa Adimasu Taddese
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Zelalem Nigussie Azene
- Department of Women’s and Family Health, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mehari Woldemariam Merid
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | | | - Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Melaku Kindie Yenit
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Sewbesew Yitayih Tilahun
- Department of Psychiatry, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Kassahun Alemu Gelaye
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Habtamu Sewunet Mekonnen
- Department of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Abere Woretaw Azagew
- Department of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Chalachew Adugna Wubneh
- Department of Pediatric and Child Health Nursing, School of Nursing, College of Medicine and Health sciences, University of Gondar, Gondar, Ethiopia
| | - Getaneh Mulualem Belay
- Department of Pediatric and Child Health Nursing, School of Nursing, College of Medicine and Health sciences, University of Gondar, Gondar, Ethiopia
| | - Nega Tezera Assimamaw
- Department of Pediatric and Child Health Nursing, School of Nursing, College of Medicine and Health sciences, University of Gondar, Gondar, Ethiopia
| | - Chilot Desta Agegnehu
- School of Nursing, College of Medicine and Health Sciences and Comprehensive Specialized Hospital, University of Gondar, Gondar, Ethiopia
| | - Telake Azale
- Department of Health Education and Behavioral Sciences, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Animut Tagele Tamiru
- Department of General Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Bayew Kelkay Rade
- Department of General Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Eden Bishaw Taye
- Department of Clinical Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Zewudu Andualem
- Department of Environmental and Occupational Health and Safety Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Henok Dagne
- Department of Environmental and Occupational Health and Safety Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Kiros Terefe Gashaye
- Department of Gynecology and Obstetrics, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Gebisa Guyasa Kabito
- Department of Environmental and Occupational Health and Safety Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Tesfaye Hambisa Mekonnen
- Department of Environmental and Occupational Health and Safety Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Sintayehu Daba
- Department of Environmental and Occupational Health and Safety Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Jember Azanaw
- Department of Environmental and Occupational Health and Safety Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Tsegaye Adane
- Department of Environmental and Occupational Health and Safety Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mekuriaw Alemayehu
- Department of Environmental and Occupational Health and Safety Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
11
|
Kassa GM, Merid MW, Muluneh AG, Fentie DT. Sputum smear grading and associated factors among bacteriologically confirmed pulmonary drug-resistant tuberculosis patients in Ethiopia. BMC Infect Dis 2021; 21:238. [PMID: 33663408 PMCID: PMC7934369 DOI: 10.1186/s12879-021-05933-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 02/24/2021] [Indexed: 11/21/2022] Open
Abstract
Background The sputum smear bacilliary load is a fundamental indicator of the level of infectiousness in DR-TB patients. However, evidence on DR-TB sputum smear grading and its factors in the study setting is limited. This study was aimed to determine the level of sputum smear grading and associated factors among DR-TB patients in Ethiopia. Methods This was an institution based cross-sectional study on 520 bacteriological confirmed pulmonary DR-TB patients from September 2010 to December 2017 in the northwest Ethiopia. Epidata 4.2.00 and SPSS 20 were used for data entry and management, respectively. Ordinary logistic regression was fitted. A cut of p-value less than 0.05 in the multivariable ordinary logistic regression was considered to declare statistically significant variables. Results Of all 520 bacteriological confirmed pulmonary DR-TB patients; 34.42% had 3+, 15.77% had 2+, 18.27% had 1+, 15.19% had scanty, and 16.35% had negative sputum smear grading results. The odds of having higher sputum smear grades were significantly associated with the patient’s educational status of secondary (Adjusted Odds Ratio (AOR) = 0.43, 95% Confidence Interval (CI): 0.21, 0.89), body mass index of 16 to 18.49 kg/m2 (AOR = 1.81, 95%CI: 1.16, 2.84), and TB treatment history of two and more times (AOR = 1.78, 95%CI: 1.24, 2.55). Conclusions More than a third of the bacteriological confirmed pulmonary DR-TB patients in the study setting was highly infectious with the highest bacillary load. The odds of having a high bacillary load were significantly associated with the patient’s TB treatment history, nutritional, and educational status.
Collapse
Affiliation(s)
- Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mehari Woldemariam Merid
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
| | - Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Dawit Tefera Fentie
- Gondar City Health Department, Amhara Regional State Health Bureau, Ministry of Health-Ethiopia, Gondar, Ethiopia
| |
Collapse
|
12
|
Kassa GM, Merid MW, Muluneh AG, Wolde HF. Comparing the impact of genotypic based diagnostic algorithm on time to treatment initiation and treatment outcomes among drug-resistant tuberculosis patients in Amhara region, Ethiopia. PLoS One 2021; 16:e0246938. [PMID: 33600409 PMCID: PMC7891731 DOI: 10.1371/journal.pone.0246938] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 01/28/2021] [Indexed: 11/19/2022] Open
Abstract
Background To end Tuberculosis (TB) by 2030, early detection and timely treatment of Drug-Resistant Tuberculosis (DR-TB) is vital. The role of rapid, accurate, and sensitive DR-TB diagnostic tool is indispensable to accelerate the TB control program. There are evidence breaks in the time difference and its effect on treatment outcomes among different DR-TB diagnostic tools in Ethiopia. This article aimed to compare the different DR-TB diagnostic tools with time pointers and evaluate their effect on the treatment outcomes. Method We performed a retrospective chart review of 574 DR-TB patients from September 2010 to December 2017 to compare the impact of molecular DR-TB diagnostic tests (Xpert MTB/RIF, Line Probe Assay (LPA), and solid culture-based Drug Susceptibility Testing (DST)) on time to diagnosis, treatment initiation, and treatment Outcomes. Kruskual-Wallis test was employed to assess the presence of a significant difference in median time among the DR-TB diagnostic tests. Chi-Square and Fisher exact tests were used to test the presence of relations between treatment outcome and diagnostic tests. Result The data of 574 DR-TB patients were included in the analysis. From these, 321, 173, and 80 patients were diagnosed using Xpert MTB/RIF, Line Probe Assay (LPA), and solid culture-based DST, respectively. The median time in a day with (Interquartile range (IQR)) for Xpert MTB/RIF, LPA, and solid culture-based DST was from a first care-seeking visit to diagnosis: 2(0, 9), 4(1, 55), and 70(18, 182), from diagnosis to treatment initiation: 3(1, 8), 33(4, 76), and 44(9, 145), and from a first care-seeking visit to treatment initiation: 4(1, 11), 3(1, 12) and 76(3.75, 191) respectively. The shorter median time was observed in the Xpert MTB/RIF followed by the LPA, and this was statistically significant with a p-value <0.001. There was no statistically significant difference concerning treatment outcomes among the three DST tests. Conclusion Xpert MTB/RIF can mitigate the transmission of DR-TB significantly via quick diagnosis and treatment initiation followed by LPA as equating to the solid culture base DST, particularly in smear-positive patients. However, we didn’t see a statistically significant impact in terms of treatment outcomes. Xpert MTB/RIF can be used as the first test to diagnose DR-TB by further complimenting solid culture base DST to grasp the drug-resistance profile.
Collapse
Affiliation(s)
- Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mehari Woldemariam Merid
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- * E-mail:
| | - Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Haileab Fekadu Wolde
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
13
|
Azene ZN, Merid MW, Muluneh AG, Geberu DM, Kassa GM, Yenit MK, Tilahun SY, Gelaye KA, Mekonnen HS, Azagew AW, Wubneh CA, Belay GM, Asmamaw NT, Agegnehu CD, Azale T, Tamiru AT, Rade BK, Taye EB, Taddese AA, Andualem Z, Dagne H, Gashaye KT, Kabito GG, Mekonnen TH, Daba S, Azanaw J, Adane T, Alemayeyu M. Adherence towards COVID-19 mitigation measures and its associated factors among Gondar City residents: A community-based cross-sectional study in Northwest Ethiopia. PLoS One 2020; 15:e0244265. [PMID: 33378332 PMCID: PMC7773181 DOI: 10.1371/journal.pone.0244265] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 11/22/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Considering its pandemicity and absence of effective treatment, authorities across the globe have designed various mitigation strategies to combat the spread of COVID-19. Although adherence towards preventive measures is the only means to tackle the virus, reluctance to do so has been reported to be a major problem everywhere. Thus, this study aimed to assess the community's adherence towards COVID-19 mitigation strategies and its associated factors among Gondar City residents, Northwest Ethiopia. METHODS A community-based cross-sectional study was employed among 635 respondents from April 20-27, 2020. Cluster sampling technique was used to select the study participants. Data were collected using an interviewer-administered structured questionnaire. Epi-Data version 4.6 and STATA version 14 were used for data entry and analysis, respectively. Binary logistic regressions (Bivariable and multivariable) were performed to identify statistically significant variables. Adjusted odds ratio with 95% CI was used to declare statistically significant variables on the basis of p < 0.05 in the multivariable logistic regression model. RESULTS The overall prevalence of good adherence towards COVID-19 mitigation measures was 51.04% (95%CI: 47.11, 54.96). Female respondents [AOR: 2.39; 95%CI (1.66, 3.45)], receiving adequate information about COVID-19 [AOR: 1.58; 95%CI (1.03, 2.43)], and favorable attitude towards COVID-19 preventive measures were significantly associated with good adherence towards COVID-19 mitigation measures. Whereas, those respondents who had high risk perception of COVID-19 were less likely to adhere towards COVID-19 mitigation measures [AOR: 0.61; 95% CI (0.41, 0.92)]. CONCLUSIONS The findings have indicated that nearly half of the study participants had poor adherence towards COVID-19 mitigation measures. Sex, level of information exposure, attitude towards COVID-19 preventive measures, and risk perception of COVID-19 were factors which significantly influenced the adherence of the community towards COVID-19 mitigation measures. Therefore, it is crucial to track adherence responses towards the COVID-19 preventive measures, scale up the community's awareness of COVID-19 prevention and mitigation strategies through appropriate information outlets, mainstream media, and rely on updating information from TV, radio, and health care workers about COVID-19.
Collapse
Affiliation(s)
- Zelalem Nigussie Azene
- Department of Women’s and Family Health, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mehari Woldemariam Merid
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | | | - Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Melaku Kindie Yenit
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Sewbesew Yitayih Tilahun
- Department of Psychiatry, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Kassahun Alemu Gelaye
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Habtamu Sewunet Mekonnen
- Department of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Abere Woretaw Azagew
- Department of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Chalachew Adugna Wubneh
- Department of Pediatric and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Getaneh Mulualem Belay
- Department of Pediatric and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Nega Tezera Asmamaw
- Department of Pediatric and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Chilot Desta Agegnehu
- School of Nursing, College of Medicine and Health Sciences and Comprehensive Specialized Hospital, University of Gondar, Gondar, Ethiopia
| | - Telake Azale
- Department of Health Education and Behavioral Sciences, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Animut Tagele Tamiru
- Department of General Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Bayew Kelkay Rade
- Department of General Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Eden Bishaw Taye
- Department of Clinical Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Asefa Adimasu Taddese
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Zewudu Andualem
- Department of Environmental and Occupational Health and Safety Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Henok Dagne
- Department of Environmental and Occupational Health and Safety Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Kiros Terefe Gashaye
- Department of Gynecology and Obstetrics, University of Gondar College of Medicine and Health Sciences, Gondar, Ethiopia
| | - Gebisa Guyasa Kabito
- Department of Environmental and Occupational Health and Safety Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Tesfaye Hambisa Mekonnen
- Department of Environmental and Occupational Health and Safety Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Sintayehu Daba
- Department of Environmental and Occupational Health and Safety Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Jember Azanaw
- Department of Environmental and Occupational Health and Safety Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Tsegaye Adane
- Department of Environmental and Occupational Health and Safety Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mekuriaw Alemayeyu
- Department of Environmental and Occupational Health and Safety Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
14
|
Mekonnen HS, Azagew AW, Wubneh CA, Belay GM, Assimamaw NT, Agegnehu CD, Azale T, Azene ZN, Merid MW, Muluneh AG, Geberu DM, Kassa GM, Yenit MK, Tilahun SY, Gelaye KA, Tamiru AT, Rade BK, Taye EB, Taddese AA, Andualem Z, Dagne H, Gashaye KT, Kabito GG, Mekonnen TH, Wami SD, Azanaw J, Adane T, Alemayehu M. Community's misconception about COVID-19 and its associated factors among Gondar town residents, Northwest Ethiopia. Trop Med Health 2020; 48:99. [PMID: 38624536 PMCID: PMC7719437 DOI: 10.1186/s41182-020-00279-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 10/29/2020] [Indexed: 12/22/2022] Open
Abstract
Background Despite the implementation of various strategies such as the declaration of COVID-19 emergency state, staying at home, lockdown, and massive protective equipment distribution, still COVID-19 is increasing alarmingly. Therefore, the study aimed to assess the community's perception of COVID-19 and its associated factors in Gondar town, Northwest Ethiopia. Methods A community-based cross-sectional study was employed among 635 Gondar administrative town residents, from April 20 to April 27, 2020. Study participants were selected using a cluster sampling technique. Data were collected using an interviewer-administered structured questionnaire. Epi-Data version 4.6 and STATA 14 were used for data entry and analysis, respectively. Logistic regressions (bivariable and multivariable) were performed to identify statistically significant variables at p < 0.05. Results Of the 635 study participants, 623 have completed the study with a 98.1% response rate. The mean age of participants was 36.32 years (SD ± 13.24). The overall magnitude of the community's misconception about COVID-19 stood at 56.9% (349). Age and religion showed a negative association with misconceptions. To be specific, being in the age group of 27-33 (AOR = 0.52, 95% CI 0.32, 0.86) and being a Muslim (AOR 0.51, 95% CI 0.34, 0.78) were negatively associated with the misconception of COVID-19, whereas occupation and awareness showed positive associations with the misconception. To be specific, having an unemployed occupational status (AOR = 1.79, 95% CI 1.14, 2.82) and being unaware of the number of cases of COVID-19 (AOR 1.66, 95% CI 1.05, 2.62) were positively associated with the community's misconception on COVID-19. Conclusion The magnitude of the community's misconception about COVID-19 among Gondar town residents was high. Age, religion, unemployment, and unawareness about the number of COVID-19 cases were significant factors of misconception about COVID-19. Thus, stakeholders ought to build community perceptions about COVID 19. To resolve misinformation about COVID-19, accurate and relevant information should be provided to the community using appropriate communication media.
Collapse
Affiliation(s)
- Habtamu Sewunet Mekonnen
- Department of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Abere Woretaw Azagew
- Department of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Chalachew Adugna Wubneh
- Department of Pediatrics and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Getaneh Mulualem Belay
- Department of Pediatrics and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Nega Tezera Assimamaw
- Department of Pediatrics and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Chilot Desta Agegnehu
- School of Nursing, College of Medicine and Health Sciences and Comprehensive Specialized Hospital, University of Gondar, Gondar, Ethiopia
| | - Telake Azale
- Department of Health Education and Behavioral Sciences, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Zelalem Nigussie Azene
- Department of Women’s and Family Health, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mehari Woldemariam Merid
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Demiss Mulatu Geberu
- Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Melaku Kindie Yenit
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Sewbesew Yitayih Tilahun
- Departmnet of Psychiatry, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Kassahun Alemu Gelaye
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Animut Tagele Tamiru
- Department of General Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Bayew Kelkay Rade
- Department of General Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Eden Bishaw Taye
- Department of Clinical Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Asefa Adimasu Taddese
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Zewudu Andualem
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Henok Dagne
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Kiros Terefe Gashaye
- Department of Gynecology and Obstetrics, University of Gondar College of Medicine and Health Sciences, Gondar, Ethiopia
| | - Gebisa Guyasa Kabito
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Tesfaye Hambisa Mekonnen
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Sintayehu Daba Wami
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Jember Azanaw
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Tsegaye Adane
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mekuriaw Alemayehu
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
15
|
Kabito GG, Alemayehu M, Mekonnen TH, Daba Wami S, Azanaw J, Adane T, Azene ZN, Merid MW, Muluneh AG, Geberu DM, Kassa GM, Yenit MK, Tilahun SY, Gelaye KA, Mekonnen HS, Azagew AW, Wubneh CA, Belay GM, Assimamaw NT, Agegnehu CD, Azale T, Tamiru AT, Rade BK, Taye EB, Taddese AA, Andualem Z, Dagne H, Gashaye KT. Community's perceived high risk of coronavirus infections during early phase of epidemics are significantly influenced by socio-demographic background, in Gondar City, Northwest Ethiopia: A cross-sectional -study. PLoS One 2020; 15:e0242654. [PMID: 33211748 PMCID: PMC7676679 DOI: 10.1371/journal.pone.0242654] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 11/07/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Epidemiological studies during the early phase of the coronavirus (COVID-19) pandemics reported different level of people's risk perception in different countries. There is a paucity of data on perceived high risk of COVID-19 and associated factors in Ethiopia. We sought to assess the prevalence of community's perceived high risk about COVID-19 infections and associated factors among Gondar town community. METHODS A cross-sectional study was carried out from April 20 to 27, 2020 in Gondar town community, Northwest Ethiopia. Multistage cluster sampling technique was used to recruit 635 participants. Structured and pre-tested questionnaire was used to collect the data. Descriptive statistics, bivariate and multivariable binary logistic regression were used to summarize the results. RESULTS A total of 623 participants were considered in the analysis with a response rate of 98.1%. The prevalence of coronavirus high risk perceptions of the respondents was found to be 23.11% (95% CI; 19.80%-26.43%). Age above 45 years (AOR = 1.41, 95%CI; 1.19-2.66), college and above educational level (AOR = 0.28, 95%CI; 0.21-0.98), and poor knowledge towards COVID-19 virus (AOR = 1.57, 95%CI; 1.09-2.23) were significantly associated with perceived high risk about COVID-19. CONCLUSIONS The prevalence of perceived high risk of COVID-19 was found to be low. Factors such as age, educational status, and knowledge about COVID-19 virus were found to be independent predictors of perceived high risk towards COVID-19. Government and non-government organizations should use formal and informal means of educating the community.
Collapse
Affiliation(s)
- Gebisa Guyasa Kabito
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mekuriaw Alemayehu
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Tesfaye Hambisa Mekonnen
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Sintayehu Daba Wami
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Jember Azanaw
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Tsegaye Adane
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Zelalem Nigussie Azene
- Department of Women’s and Family Health, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mehari Woldemariam Merid
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Demiss Mulatu Geberu
- Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Melaku Kindie Yenit
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Sewbesew Yitayih Tilahun
- Department of Psychiatry, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Kassahun Alemu Gelaye
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Habtamu Sewunet Mekonnen
- Department of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Abere Woretaw Azagew
- Department of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Chalachew Adugna Wubneh
- Department of Pediatric and Child Health Nursing, School of Nursing, College of Medicine and Health sciences, University of Gondar, Gondar, Ethiopia
| | - Getaneh Mulualem Belay
- Department of Pediatric and Child Health Nursing, School of Nursing, College of Medicine and Health sciences, University of Gondar, Gondar, Ethiopia
| | - Nega Tezera Assimamaw
- Department of Pediatric and Child Health Nursing, School of Nursing, College of Medicine and Health sciences, University of Gondar, Gondar, Ethiopia
| | - Chilot Desta Agegnehu
- School of Nursing, College of Medicine and Health Sciences and Comprehensive Specialized Hospital, University of Gondar, Gondar, Ethiopia
| | - Telake Azale
- Department of Health Education and Behavioral Sciences, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Animut Tagele Tamiru
- Department of General Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Bayew Kelkay Rade
- Department of General Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Eden Bishaw Taye
- Department of Clinical Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Asefa Adimasu Taddese
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Zewudu Andualem
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Henok Dagne
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Kiros Terefe Gashaye
- Department of Gynecology and Obstetrics, University of Gondar College of Medicine and Health Sciences, Gondar, Ethiopia
| |
Collapse
|
16
|
Tamiru AT, Rade BK, Taye EB, Azene ZN, Merid MW, Muluneh AG, Kassa GM, Yenit MK, Taddese AA, Gelaye KA, Geberu DM, Tilahun SY, Mekonnen HS, Azagew AW, Webneh CA, Belay GM, Assimamaw NT, Agegnehu CD, Azale T, Andualem Z, Dagne H, Gashaye KT, Kabito GG, Mekonnen TH, Daba S, Azanaw J, Adane T, Alemayehu M. Community Level of COVID-19 Information Exposure and Influencing Factors in Northwest Ethiopia. Risk Manag Healthc Policy 2020; 13:2635-2644. [PMID: 33244280 PMCID: PMC7682608 DOI: 10.2147/rmhp.s280346] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 11/05/2020] [Indexed: 11/23/2022] Open
Abstract
Background Coronavirus disease 2019 (COVID-19) is an emerging respiratory infection, and the crisis has become a worldwide issue, and society has become concerned in various aspects. Good information exposure related to transmission, prevention, and risk factors of COVID-19 can be the best means to reduce the risk of disease exposure and mitigate further spread. The countries that have well practiced this strategy (society information exposure) were controlling disease progression, but there is a low practice in sub-Saharan countries, including Ethiopia. Therefore, this study aimed to evaluate the information exposure level about COVID-19 and influencing factors among northwest community of Ethiopia. Methods and Materials Community-based cross-sectional study design was employed among the community of Gondar city from April 20 to 27, 2020. A total of 623 study participants were involved in this interview, and a systematic sampling technique was applied to select the households. Data were entered into EpiData version 4.6 and then exported to STATA version 14 for analysis. A multivariable binary logistic regression was employed to identify factors associated with good information exposure about COVID-19. The adjusted odds ratio (AOR) with 95% confidence interval (CI) was estimated to show the strength of association. A p-value <0.05 was a cut-off point to declare statistical significance. Results The overall rate of information exposure about COVID-19 was 44.9%. Age 18-26 years [AOR=0.53; 95% CI (0.28-0.99)] and 34-45 years [AOR=0.44; 95% CI (0.24-0.80)], elementary school [AOR=2.48; 95% CI (1.20-5.15)], secondary school [AOR=3.98; 95% CI (1.99-7.99)], college and above [AOR=8.38; 95% CI (4.10-17.26)], browsed or follow social media [AOR=2.21; 95% CI (1.44-3.38)] and those having a discussion with their family members [AOR=2.37; 95% CI (1.44-3.90)] and friends [AOR=2.15; 95% CI (1.38-3.34)] were the factors significantly associated with good information exposure towards COVID-19. Conclusion Communities total level of good information exposure from different information platforms about COVID-19 in this study area remains low. Age, high level of education, browsing social media, and those having interpersonal (family and friends) discussion were the factors that significantly influence communities who have good information exposure related to COVID-19. Therefore, efforts on community mobilization through regional/national mass media and other information conveying platforms are recommended.
Collapse
Affiliation(s)
- Animut Tagele Tamiru
- Department of General Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Bayew Kelkay Rade
- Department of General Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Eden Bishaw Taye
- Department of Clinical Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Zelalem Nigussie Azene
- Department of Women's and Family Health, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mehari Woldemariam Merid
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Melaku Kindie Yenit
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Asefa Adimasu Taddese
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Kassahum Alemu Gelaye
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Demiss Mulatu Geberu
- Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Sewbesew Yitayih Tilahun
- Department of Psychiatry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Habtamu Sewunet Mekonnen
- Department of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Abere Woretaw Azagew
- Department of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Chalachew Adugna Webneh
- Department of Pediatric and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Getaneh Mulualem Belay
- Department of Pediatric and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Nega Tezera Assimamaw
- Department of Pediatric and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Chilot Desta Agegnehu
- School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Telake Azale
- Department of Health Education and Behavioral Sciences, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Zewudu Andualem
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Henok Dagne
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Kiros Terefe Gashaye
- Department of Gynecology and Obstetrics, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Gebisa Guyasa Kabito
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Tesfaye Hambisa Mekonnen
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Sintayehu Daba
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Jember Azanaw
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Tsegaye Adane
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mekuriaw Alemayehu
- Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
17
|
Kassa GM, Tadesse A, Gelaw YA, Alemayehu TT, Tsegaye AT, Tamirat KS, Akalu TY. Predictors of mortality among multidrug-resistant tuberculosis patients in central Ethiopia: a retrospective follow-up study. Epidemiol Infect 2020; 148:e258. [PMID: 33054897 PMCID: PMC7689597 DOI: 10.1017/s0950268820002514] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 10/02/2020] [Accepted: 10/09/2020] [Indexed: 01/30/2023] Open
Abstract
The burden of multidrug-resistant tuberculosis (MDR-TB) related to mortality in resource-poor countries remains high. This study aimed to estimate the incidence and predictors of death among MDR-TB patients in central Ethiopia. A retrospective follow-up study was conducted at three hospitals in the Amhara region on 451 patients receiving treatment for MDR-TB from September 2010 to January 2017. Data were collected from patient registration books, charts and computer databases. Data were fitted to a parametric frailty model and survival was expressed as an adjusted hazard ratio (AHR) with a 95% confidence interval (CI). The median follow-up time of participants was 20 months (interquartile range: 12, 22) and 46 (10.20%) of patients died during this period. The incidence rate of mortality was 7.42 (95% CI 5.56-9.91)/100 person-years. Older age (AHR = 1.04, 95% CI 1.01-1.08), inability to self-care (AHR = 13.71, 95% CI 5.46-34.40), co-morbidity (AHR = 5.74, 95% CI 2.19-15.08), low body mass index (AHR = 4.13, 95% CI 1.02-16.64), acute lung complications (AHR = 4.22, 95% CI 1.66-10.70) and lung consolidation at baseline (AHR = 5.27, 95% CI 1.06-26.18) were independent predictors of mortality. Most of the identified predictor factors of death in this study were considered to be avoidable if the TB programme had provided nutritional support for malnourished patients and ensured a close follow-up of the elderly, and patients with co-morbidities.
Collapse
Affiliation(s)
- Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Abilo Tadesse
- Department of Internal Medicine, School of Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Yalemzewod Assefa Gelaw
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
- Population Child Health Research Group, School of Women's & Children's Health, UNSW Sydney, Sydney, Australia
| | - Temesgen Tadesse Alemayehu
- Department of Radiology, School of Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Adino Tesfahun Tsegaye
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Koku Sisay Tamirat
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Temesgen Yihunie Akalu
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
18
|
Merid MW, Muluneh AG, Yenit MK, Kassa GM. Treatment interruption and associated factors among patients registered on drug-resistant tuberculosis treatment in Amhara regional state, Ethiopia: 2010-2017. PLoS One 2020; 15:e0240564. [PMID: 33052983 PMCID: PMC7556470 DOI: 10.1371/journal.pone.0240564] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 09/28/2020] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Drug-Resistant Tuberculosis (DR-TB) is a rising threat of the TB control program caused mainly by treatment interruption in Ethiopia. The success of the current treatment regimen for DR-TB is poor partly due to a high treatment interruption rate. Thus, this study assessed treatment interruption and associated factors among DR-TB patients. METHODS An institution-based cross-sectional study was conducted among 550 DR-TB patients who have initiated treatment from September 2010 to December 2017. Data were entered using Epi Data version 4.200 and exported to STATA version 14 for analysis. A bi-variable logistic regression model was first fitted, and variables having a p-value < 0.2 in the bi-variable analysis were entered into the multivariable logistic regression model. Crude and Adjusted Odds Ratios (COR and AOR) with 95% confidence interval (CI) were used to determine the strength of association between the treatment interruption and independent variables. Variables with p-value <0.05 in the multi-variable model were considered as statistically significant predictors of treatment interruption. RESULTS In this study, the prevalence of treatment interruption among patients registered on DR-TB treatment was 14.55% (95% CI: 11.83, 17.76). Of the interrupters, the treatment interruption during the intensive and continuation phase of treatment was reported as 45% and 71.25%, respectively. Similarly, about 15% of patients had treatment interruption both during the intensive and continuation phase of treatment. The average duration of treatment interruption was 12 (±2.03 SD) and 6 (±1.2 SD) days during the intensive and continuation phase of treatment, respectively. Patients who had no treatment supporter [AOR = 1.45; 95% CI: 1.23-3.66] and developed adverse drug events [AOR = 1.60; 95% CI: 1.22-2.85] were statistically significant predictors of treatment interruption. CONCLUSIONS Treatment interruption was low in the study setting. The presence of treatment supporter and absence of drug side effects was significantly associated with decreased occurrence of treatment interruption. Thus, patient linkage to treatment supporter and excellent pharmacovigilance are highly recommended in the study setting.
Collapse
Affiliation(s)
- Mehari Woldemariam Merid
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Melaku Kindie Yenit
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
19
|
Muluneh AG, Kassa GM, Alemayehu GA, Merid MW. High dropout rate from maternity continuum of care after antenatal care booking and its associated factors among reproductive age women in Ethiopia, Evidence from Demographic and Health Survey 2016. PLoS One 2020; 15:e0234741. [PMID: 32530948 PMCID: PMC7292400 DOI: 10.1371/journal.pone.0234741] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 06/01/2020] [Indexed: 11/19/2022] Open
Abstract
Background Maternal continuums of care were vital to reducing maternal and neonatal mortalities. While the dropout rate remains high and limited studies were found on risk factors associated with a high dropout rate of the maternal continuum of care. Objective This study aimed to assess the magnitude of dropout rate and its associated factors of maternity continuum of care in Ethiopia, 2016 Methods An in-depth secondary data analysis was conducted from the Ethiopian Demographic and Health Survey 2016 data. A total of 4,693 women who were booked for antenatal care visit were included to the final analysis. A community-based cross-sectional study design and a pre-tested and standardized questionnaire were used to collect the survey data. Data were weighted using women data weighting variables. Chi-square and multicollinearity assumptions were checked for independent variables. Bi-variable and multivariable logistics regression used to identify associated factors with a cut of the p-value of 0.2 and 0.05 respectively. Adjusted Odds Ratio (AOR) with 95%CI was reported for the final model. Results Of the total 4,693 women who were booked for antenatal care visits, 2,092(44.58%), 2,183 (46.52%), and 4,086(87.07%) dropped from a recommended number of ANC, Institutional delivery and postnatal care visit respectively. Only 308 (6.56%, 95%CI: 5.89, 7.31) women used all the complete continuum of care. Not married, and poorest wealth index were significantly associated with dropout from ANC visit. Being a protestant religious follower was significantly associated with dropout from PNC after antenatal care booking. While not exposed to media, distance from health facility as a big problem, protestant affiliation, parity of 2 to 4 and above4, Wealth index of the poorest, poorer, middle, and richer significantly associated with dropout from institutional delivery. Not being informed about pregnancy complications during their ANC visit was significantly associated with dropout from ANC, PNC, and institutional delivery. Conclusions Dropout of women from the maternity continuum of care after antenatal care booking was a public health problem in Ethiopia. Socio-demographic, pregnancy, and health service-related factors were significant determinants of dropout from the maternity continuum of care. Improving the family wealth index, increasing access to health facilities, media exposure, and giving more information during the antenatal care visit is important to reduce the dropout rate from the maternity continuum of care.
Collapse
Affiliation(s)
- Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- * E-mail: ,
| | - Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Geta Asrade Alemayehu
- Department of Health System and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mehari Woldemariam Merid
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
20
|
Kassa GM, Teferra AS, Wolde HF, Muluneh AG, Merid MW. Incidence and predictors of lost to follow-up among drug-resistant tuberculosis patients at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia: a retrospective follow-up study. BMC Infect Dis 2019; 19:817. [PMID: 31533661 PMCID: PMC6751642 DOI: 10.1186/s12879-019-4447-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Accepted: 09/09/2019] [Indexed: 11/18/2022] Open
Abstract
Background The emergence of Drug-Resistance Tuberculosis (DR-TB) is an increasing global public health problem. Lost to Follow-up (LTFU) from DR-TB treatment remains a major barrier to tuberculosis epidemic control and better treatment outcome. In Ethiopia, evidences on the incidence and predictors of LTFU are scarce. Thus, this study aimed to determine the incidence and identify the predictors of LTFU among DR-TB patients. Methods A retrospective follow-up study was conducted among a total of 332 DR-TB patients at the University of Gondar comprehensive specialized hospital. Data were retrieved from patient records from September 2010 to December 2017 and entered in to Epi-data 4.2.0.0 and analysed using Stata14.1 software. The risk was estimated using the Nelson-Aalen cumulative hazard curve. A log-rank test was used for survival comparisons between categories of independent variables. The Gompertz regression model was fitted, and hazard ratio with a 95% confidence interval (CI) was used to measure the strength of associations. Variables with less than 0.05 p-values in the multivariable model were considered as significantly associated with LTFU. Results Among a total of 332 patient records reviewed, 206 (62.05%) were male. The median age was 30 years (Inter Quartile Range (IQR): 23–40). Forty-one (12.35%) of the participants had no history of TB treatment, while a quarter of were TB-HIV co-infected. Closely all (92.17%) of the patients had pulmonary tuberculosis. The median follow up time was 20.37 months (IQR: 11.02, 21.80). Thirty-six (10.84%) patients were lost from follow-up with an incidence rate of 6.47 (95% CI: 4.67, 8.97)/1000 Person Months (PM). Homelessness (Adjusted Hazard Ratio (AHR) =2.51, 95%CI: 1.15, 5.45) and treatment enrolment year from 2013 to 2014 (AHR = 3.25, 95% CI: 1.30, 8.13) were significant predictors of LTFU. Conclusion This study indicated that LTFU among DR-TB registered patients was high in the first six months compared to subsequent months. Homelessness and year of treatment enrolment were independent predictors of LTFU, requiring more economic support to patients in order to ensure treatment completion. This result can be generalized to patients who are using DR-TB treatment in similar settings.
Collapse
Affiliation(s)
- Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences and Specialized Comprehensive Hospital, University of Gondar, Gondar, Ethiopia.
| | - Alemayehu Shimeka Teferra
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences and Specialized Comprehensive Hospital, University of Gondar, Gondar, Ethiopia
| | - Haileab Fekadu Wolde
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences and Specialized Comprehensive Hospital, University of Gondar, Gondar, Ethiopia
| | - Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences and Specialized Comprehensive Hospital, University of Gondar, Gondar, Ethiopia
| | - Mehari Woldemariam Merid
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences and Specialized Comprehensive Hospital, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
21
|
Merid MW, Gezie LD, Kassa GM, Muluneh AG, Akalu TY, Yenit MK. Incidence and predictors of major adverse drug events among drug-resistant tuberculosis patients on second-line anti-tuberculosis treatment in Amhara regional state public hospitals; Ethiopia: a retrospective cohort study. BMC Infect Dis 2019; 19:286. [PMID: 30917788 PMCID: PMC6437856 DOI: 10.1186/s12879-019-3919-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 03/19/2019] [Indexed: 11/22/2022] Open
Abstract
Background Second line anti-tuberculosis drugs are substantially complex, long term, more costly, and more toxic than first line anti-tuberculosis drugs. In Ethiopia, evidence on the incidence and predictors of adverse drug events has been limited. Thus, this study aimed at assessing incidence and predictors of major adverse drug events among drug resistant tuberculosis patients on second line tuberculosis treatment in Amhara Regional State public hospitals, Ethiopia. Methods A multi-center retrospective cohort study was conducted on 570 drug resistant tuberculosis Patients. Data were entered in to EPI-Data version 4.2.0.0 and exported to Stata version 14 for analysis. Proportional hazard assumption was checked. The univariate Weibull regression gamma frailty model was fitted. Cox-Snell residual was used to test goodness of fit and Akaike Information Criteria (AIC) for model selection. Hazard ratio with 95% CI was computed and variables with P-value < 0.05 in the multivariable analysis were taken as significant predictors for adverse drug event. Results A total of 570 patients were followed for 5045.09 person-month (PM) observation with a median follow-uptime of 8.23 months (Inter Quartile Range (IQR) =2.66–23.33). The overall incidence rate of major adverse drug events was 5.79 per 100 PM (95% CI: 5.16, 6.49). Incidence rate at the end of 2nd, 4th, and 6th months was 13.73, 9.25, 5.97 events per 100 PM observations, respectively. Age at 25–49 (Adjusted Hazard Ratio (AHR) = 3.36, 95% CI: 1.36, 8.28), and above 50 years (AHR = 5.60, 95% CI: 1.65, 19.05), co-morbid conditions (AHR = 2.74 CI: 1.12, 6.68), and anemia (AHR = 3.25 CI: 1.40, 7.53) were significant predictors of major adverse drug events. Conclusion The incidence rate of major adverse drug events in the early 6 months of treatment was higher than that of the subsequent months. Age above 25 years, base line anemia, and co-morbid conditions were independent predictors of adverse drug events. Thus, addressing significant predictors and strengthening continuous follow-ups are highly recommended in the study setting.
Collapse
Affiliation(s)
- Mehari Woldemariam Merid
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health sciences, University of Gondar, Gondar, Ethiopia
| | - Lemma Derseh Gezie
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health sciences, University of Gondar, Gondar, Ethiopia
| | - Getahun Molla Kassa
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health sciences, University of Gondar, Gondar, Ethiopia
| | - Atalay Goshu Muluneh
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health sciences, University of Gondar, Gondar, Ethiopia
| | - Temesgen Yihunie Akalu
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health sciences, University of Gondar, Gondar, Ethiopia
| | - Melaku Kindie Yenit
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health sciences, University of Gondar, Gondar, Ethiopia.
| |
Collapse
|