Pregnant women follow‐up service, Shewa, Ethiopia
Abstract Background and Aims The goal of this study was to demonstrate the effects of factors related with time to developing pre‐eclampsia (PE) among pregnant women follow‐up service at Arerti Primary Hospital. Methods A survival analysis was employed on a pregnant women's follow‐up service fr...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-03-01
|
| Series: | Health Science Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/hsr2.561 |
| _version_ | 1797224938922311680 |
|---|---|
| author | Dawit BayeHaile Aragaw EshetieAguade Moges ZerihunFetene |
| author_facet | Dawit BayeHaile Aragaw EshetieAguade Moges ZerihunFetene |
| author_sort | Dawit BayeHaile |
| collection | DOAJ |
| description | Abstract Background and Aims The goal of this study was to demonstrate the effects of factors related with time to developing pre‐eclampsia (PE) among pregnant women follow‐up service at Arerti Primary Hospital. Methods A survival analysis was employed on a pregnant women's follow‐up service from September 2018 to June 2019 at the Arerti Primary Hospital. A closed‐form sample size formula for estimating the effect of the time‐to‐event data was used. Both the descriptive method and Cox proportional hazards model were applied to compute the research survival data. Results Using the Kaplan–Meier estimation technique, the univariable analysis shows that the survival time median is 7 months and 3 weeks. The graph of Kaplan–Meier estimate of total survival functions indicates a decreasing pattern of survivorship function. We used the Kaplan–Meier estimates to investigate the effects of observed differences among different categories of the factors, we applied the Log‐rank test. The final survival model outcomes weight, marital status, age, history of PE, and multiplicity were related to a substantial hazard of evolving PE. Conclusion On the basis of our final survival model results, we recommended that all pregnant women having such risk factors should see a health care professional and control their medical condition before and during pregnancy. Advising women about proper body weight in each follow‐up period is supported. Finally, health experts should advise pregnant women about potential risk factors related to PE. |
| first_indexed | 2024-03-12T13:33:16Z |
| format | Article |
| id | doaj.art-571f2b271ff84693a86ad91eefd1ddf0 |
| institution | Directory Open Access Journal |
| issn | 2398-8835 |
| language | English |
| last_indexed | 2024-04-24T14:01:05Z |
| publishDate | 2022-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Health Science Reports |
| spelling | doaj.art-571f2b271ff84693a86ad91eefd1ddf02024-04-03T12:41:03ZengWileyHealth Science Reports2398-88352022-03-0152n/an/a10.1002/hsr2.561Pregnant women follow‐up service, Shewa, EthiopiaDawit BayeHaile0Aragaw EshetieAguade1Moges ZerihunFetene2Department of Statistics, College of Natural and Computational Science Dilla University Dilla EthiopiaDepartment of Statistics, College of Natural and Computational Science University of Gondar Gondar EthiopiaDepartment of Statistics, College of Natural and Computational Science University of Gondar Gondar EthiopiaAbstract Background and Aims The goal of this study was to demonstrate the effects of factors related with time to developing pre‐eclampsia (PE) among pregnant women follow‐up service at Arerti Primary Hospital. Methods A survival analysis was employed on a pregnant women's follow‐up service from September 2018 to June 2019 at the Arerti Primary Hospital. A closed‐form sample size formula for estimating the effect of the time‐to‐event data was used. Both the descriptive method and Cox proportional hazards model were applied to compute the research survival data. Results Using the Kaplan–Meier estimation technique, the univariable analysis shows that the survival time median is 7 months and 3 weeks. The graph of Kaplan–Meier estimate of total survival functions indicates a decreasing pattern of survivorship function. We used the Kaplan–Meier estimates to investigate the effects of observed differences among different categories of the factors, we applied the Log‐rank test. The final survival model outcomes weight, marital status, age, history of PE, and multiplicity were related to a substantial hazard of evolving PE. Conclusion On the basis of our final survival model results, we recommended that all pregnant women having such risk factors should see a health care professional and control their medical condition before and during pregnancy. Advising women about proper body weight in each follow‐up period is supported. Finally, health experts should advise pregnant women about potential risk factors related to PE.https://doi.org/10.1002/hsr2.561Cox‐PH modelKaplan–Meier estimatorpregnant womentime to onset of pre‐eclampsia |
| spellingShingle | Dawit BayeHaile Aragaw EshetieAguade Moges ZerihunFetene Pregnant women follow‐up service, Shewa, Ethiopia Health Science Reports Cox‐PH model Kaplan–Meier estimator pregnant women time to onset of pre‐eclampsia |
| title | Pregnant women follow‐up service, Shewa, Ethiopia |
| title_full | Pregnant women follow‐up service, Shewa, Ethiopia |
| title_fullStr | Pregnant women follow‐up service, Shewa, Ethiopia |
| title_full_unstemmed | Pregnant women follow‐up service, Shewa, Ethiopia |
| title_short | Pregnant women follow‐up service, Shewa, Ethiopia |
| title_sort | pregnant women follow up service shewa ethiopia |
| topic | Cox‐PH model Kaplan–Meier estimator pregnant women time to onset of pre‐eclampsia |
| url | https://doi.org/10.1002/hsr2.561 |
| work_keys_str_mv | AT dawitbayehaile pregnantwomenfollowupserviceshewaethiopia AT aragaweshetieaguade pregnantwomenfollowupserviceshewaethiopia AT mogeszerihunfetene pregnantwomenfollowupserviceshewaethiopia |