Level of completion along continuum of care for maternal and newborn health services and factors associated with it among women in Arba Minch Zuria woreda, Gamo zone, Southern Ethiopia: A community based cross-sectional study.
Adolescent
Adult
Continuity of Patient Care
/ statistics & numerical data
Cross-Sectional Studies
Demography
Ethiopia
Female
Health Knowledge, Attitudes, Practice
Humans
Infant
Infant Health
/ statistics & numerical data
Infant Mortality
Infant, Newborn
Male
Maternal Health Services
/ statistics & numerical data
Young Adult
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2020
2020
Historique:
received:
09
08
2019
accepted:
25
05
2020
entrez:
9
6
2020
pubmed:
9
6
2020
medline:
25
8
2020
Statut:
epublish
Résumé
Completion along continuum of care for maternal and newborn health (MNH) services like antenatal care, skilled birth attendance and postnatal care services is advantageous over each segment of services. It is one of the currently recommended strategies to reduce both maternal and neonatal mortality and achieve the global target of ending preventable maternal and under-five children's mortality. Although studies on factors affecting each segment of MNH services have been well documented in Ethiopia, there is a dearth of evidence about the level of continuum of care and factors associated with it. This study was intended to fill this gap in evidence in the study area so that interventions could be taken to improve maternal and newborn health. A community-basedcross-sectional study was conducted among 432 postnatal women who gave birth in the previous year in Arba Minch Health and Demographic Surveillance System (HDSS) site. Women were selected by computer generated random numbers from a list of women who stayed at least 6 weeks after birth. A pre-tested, structured, and interviewer-administered questionnaire was used for data collection. Data were entered and coded in Epi-data and analyzed using SPSS software version 23. Binary logistic regression model was fitted to identify factors associated with the dependent variable. Bivariate and multivariable analyses were fitted in steps to select candidate variables for multivariable analysis and to control for potential confounding effect respectively. The overall completion along the continuum of care was 42(9.7%). The factors significantly associated with completion of care along the continuumwere timely initiation of antenatalcare (before16weeks) [AOR: 10.7, CI (5.1, 22.7], birth preparedness and complication readiness [AOR: 2.9, CI (1.4, 6.1), pre-pregnancy contraception utilization [AOR: 3.9, CI: 1.4, 11.0], being employed [AOR: 2.6 CI:(1.3, 5.4)], and having a planned pregnancy [AOR:3.5 CI: (1.1, 11.4)]. Completion along the continuum of care for MNH services was low in the study area. Thus, efforts to improve the completion of care should focus on interventions that enhance early initiation of antenatal care, planned pregnancy, and birth preparedness and complication readiness.
Sections du résumé
BACKGROUND
Completion along continuum of care for maternal and newborn health (MNH) services like antenatal care, skilled birth attendance and postnatal care services is advantageous over each segment of services. It is one of the currently recommended strategies to reduce both maternal and neonatal mortality and achieve the global target of ending preventable maternal and under-five children's mortality. Although studies on factors affecting each segment of MNH services have been well documented in Ethiopia, there is a dearth of evidence about the level of continuum of care and factors associated with it. This study was intended to fill this gap in evidence in the study area so that interventions could be taken to improve maternal and newborn health.
METHODS
A community-basedcross-sectional study was conducted among 432 postnatal women who gave birth in the previous year in Arba Minch Health and Demographic Surveillance System (HDSS) site. Women were selected by computer generated random numbers from a list of women who stayed at least 6 weeks after birth. A pre-tested, structured, and interviewer-administered questionnaire was used for data collection. Data were entered and coded in Epi-data and analyzed using SPSS software version 23. Binary logistic regression model was fitted to identify factors associated with the dependent variable. Bivariate and multivariable analyses were fitted in steps to select candidate variables for multivariable analysis and to control for potential confounding effect respectively.
RESULTS
The overall completion along the continuum of care was 42(9.7%). The factors significantly associated with completion of care along the continuumwere timely initiation of antenatalcare (before16weeks) [AOR: 10.7, CI (5.1, 22.7], birth preparedness and complication readiness [AOR: 2.9, CI (1.4, 6.1), pre-pregnancy contraception utilization [AOR: 3.9, CI: 1.4, 11.0], being employed [AOR: 2.6 CI:(1.3, 5.4)], and having a planned pregnancy [AOR:3.5 CI: (1.1, 11.4)].
CONCLUSION AND RECOMMENDATION
Completion along the continuum of care for MNH services was low in the study area. Thus, efforts to improve the completion of care should focus on interventions that enhance early initiation of antenatal care, planned pregnancy, and birth preparedness and complication readiness.
Identifiants
pubmed: 32511230
doi: 10.1371/journal.pone.0221670
pii: PONE-D-19-22531
pmc: PMC7279583
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0221670Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
Références
Reprod Health. 2014 Jul 20;11:55
pubmed: 25038820
PLoS One. 2015 Sep 30;10(9):e0139288
pubmed: 26422685
Lancet. 2007 Oct 13;370(9595):1358-69
pubmed: 17933651
Ethiop J Health Sci. 2018 May;28(3):267-276
pubmed: 29983526
BMC Pregnancy Childbirth. 2016 Jul 27;16(1):190
pubmed: 27460042
Asia Pac J Public Health. 2016 Jul;28(5):423-37
pubmed: 27371578
Int J Reprod Med. 2016;2016:7095352
pubmed: 27433481
BMJ Glob Health. 2018 Sep 3;3(4):e000786
pubmed: 30233827
Health Policy Plan. 2017 Jul 1;32(6):791-799
pubmed: 28334973
BMC Pregnancy Childbirth. 2016 Apr 06;16:73
pubmed: 27053241
BMC Pregnancy Childbirth. 2017 Sep 11;17(1):300
pubmed: 28893222
PLoS One. 2016 Oct 27;11(10):e0164965
pubmed: 27788176
Afr Health Sci. 2016 Mar;16(1):10-7
pubmed: 27358608
PLoS One. 2013 May 15;8(5):e60957
pubmed: 23690921
Lancet Glob Health. 2014 Jun;2(6):e323-33
pubmed: 25103301
PLoS One. 2015 Oct 19;10(10):e0140448
pubmed: 26479476
Indian J Med Sci. 2009 Oct;63(10):436-44
pubmed: 19901482
Obstet Gynecol Int. 2019 Aug 14;2019:5036783
pubmed: 31485232
Lancet. 2014 Apr 12;383(9925):1333-1354
pubmed: 24263249
J Health Soc Behav. 1995 Mar;36(1):1-10
pubmed: 7738325
Soc Sci Med. 2014 Aug;114:169-77
pubmed: 24929918
PLoS One. 2018 Jun 7;13(6):e0197693
pubmed: 29879138
BMC Pregnancy Childbirth. 2017 Dec 8;17(1):412
pubmed: 29216830
PLoS One. 2015 Dec 09;10(12):e0142849
pubmed: 26650388
BMJ Open. 2019 Mar 20;9(3):e024783
pubmed: 30898814
PLoS One. 2017 Sep 18;12(9):e0184934
pubmed: 28922383
Int J Prev Med. 2019 Aug 12;10:136
pubmed: 31516677
J Environ Public Health. 2015;2015:971506
pubmed: 26543485
Int J Gynaecol Obstet. 2012 Sep;118 Suppl 2:S167-71
pubmed: 22920622
PLoS One. 2018 Feb 8;13(2):e0192428
pubmed: 29420598
BMJ Open. 2017 Nov 15;7(11):e017122
pubmed: 29146636
Matern Child Health J. 2016 Feb;20(2):281-9
pubmed: 26511130
Int J Equity Health. 2013 May 14;12:30
pubmed: 23672203
BMC Pregnancy Childbirth. 2018 May 16;18(1):173
pubmed: 29769122
Reprod Health. 2014 Sep 26;11 Suppl 3:S1
pubmed: 25414942
PLoS One. 2018 Jun 11;13(6):e0198829
pubmed: 29889894
BMC Health Serv Res. 2017 Mar 9;17(1):189
pubmed: 28279186
BMC Pregnancy Childbirth. 2015 Mar 19;15:62
pubmed: 25885596