Maternal survival in a low-resource setting, Mpilo Central Hospital, Bulawayo, Zimbabwe
Abstract Objectives Maternal mortality is an important global subject. This dataset was generated from a retrospective cross-sectional study carried out at Mpilo Central Hospital, covering the period January 1, 2015 to December 31, 2018. The aim of the study was to compare how frequently the exposur...
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| Format: | Article |
| Language: | English |
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BMC
2020-01-01
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| Series: | BMC Research Notes |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13104-020-4911-y |
| _version_ | 1818461065756803072 |
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| author | Solwayo Ngwenya Faith Nleya Desmond Mwembe |
| author_facet | Solwayo Ngwenya Faith Nleya Desmond Mwembe |
| author_sort | Solwayo Ngwenya |
| collection | DOAJ |
| description | Abstract Objectives Maternal mortality is an important global subject. This dataset was generated from a retrospective cross-sectional study carried out at Mpilo Central Hospital, covering the period January 1, 2015 to December 31, 2018. The aim of the study was to compare how frequently the exposure to a risk factor was related to maternal death. Maternal deaths that were recorded during the study period were considered as cases. Controls were selected randomly from women of child-bearing age who survived during the study period. Low-resourced countries contribute significantly to global maternal deaths. Understanding risk factors could help reduce maternal mortality. Data description The dataset contains data of 387 pregnant women who were included in the study. Data were collected as secondary data using a data collection sheet, as recorded by the hospital staff that gave all necessary demographic details in birth and mortality registers. The data collected included socio-demographic and clinical data. The independent variables were maternal age, gravidity, parity, antenatal visits, booking status, marital status, educational status, days spent in hospital, mode of delivery, fetal outcomes, and maternal complications. The dependent variable was maternal mortality. The data can be used to determine the relationship between the independent variables and maternal death. |
| first_indexed | 2024-12-14T23:40:13Z |
| format | Article |
| id | doaj.art-2d25acb07c8c491f8621665adcdc7265 |
| institution | Directory Open Access Journal |
| issn | 1756-0500 |
| language | English |
| last_indexed | 2024-12-14T23:40:13Z |
| publishDate | 2020-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Research Notes |
| spelling | doaj.art-2d25acb07c8c491f8621665adcdc72652022-12-21T22:43:33ZengBMCBMC Research Notes1756-05002020-01-011311210.1186/s13104-020-4911-yMaternal survival in a low-resource setting, Mpilo Central Hospital, Bulawayo, ZimbabweSolwayo Ngwenya0Faith Nleya1Desmond Mwembe2Mpilo Central HospitalNational University of Science & TechnologyNational University of Science & TechnologyAbstract Objectives Maternal mortality is an important global subject. This dataset was generated from a retrospective cross-sectional study carried out at Mpilo Central Hospital, covering the period January 1, 2015 to December 31, 2018. The aim of the study was to compare how frequently the exposure to a risk factor was related to maternal death. Maternal deaths that were recorded during the study period were considered as cases. Controls were selected randomly from women of child-bearing age who survived during the study period. Low-resourced countries contribute significantly to global maternal deaths. Understanding risk factors could help reduce maternal mortality. Data description The dataset contains data of 387 pregnant women who were included in the study. Data were collected as secondary data using a data collection sheet, as recorded by the hospital staff that gave all necessary demographic details in birth and mortality registers. The data collected included socio-demographic and clinical data. The independent variables were maternal age, gravidity, parity, antenatal visits, booking status, marital status, educational status, days spent in hospital, mode of delivery, fetal outcomes, and maternal complications. The dependent variable was maternal mortality. The data can be used to determine the relationship between the independent variables and maternal death.https://doi.org/10.1186/s13104-020-4911-yMaternal mortalityComplicationsSurvival timesSafe motherhoodLow-resource settings |
| spellingShingle | Solwayo Ngwenya Faith Nleya Desmond Mwembe Maternal survival in a low-resource setting, Mpilo Central Hospital, Bulawayo, Zimbabwe BMC Research Notes Maternal mortality Complications Survival times Safe motherhood Low-resource settings |
| title | Maternal survival in a low-resource setting, Mpilo Central Hospital, Bulawayo, Zimbabwe |
| title_full | Maternal survival in a low-resource setting, Mpilo Central Hospital, Bulawayo, Zimbabwe |
| title_fullStr | Maternal survival in a low-resource setting, Mpilo Central Hospital, Bulawayo, Zimbabwe |
| title_full_unstemmed | Maternal survival in a low-resource setting, Mpilo Central Hospital, Bulawayo, Zimbabwe |
| title_short | Maternal survival in a low-resource setting, Mpilo Central Hospital, Bulawayo, Zimbabwe |
| title_sort | maternal survival in a low resource setting mpilo central hospital bulawayo zimbabwe |
| topic | Maternal mortality Complications Survival times Safe motherhood Low-resource settings |
| url | https://doi.org/10.1186/s13104-020-4911-y |
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