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CompletedNCT01665456Updated Apr 28, 2014

Assessing Childbirth-related Complications at the Community Level in Kenya

An observational study in Puerperal Sepsis, Postpartum Hemorrhage and Preeclampsia and Eclampsia, sponsored by Wilson Liambila. Completed at 1 site in Kenya. Open to female participants aged 15 Years to 49 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2014-04-28.

Sponsored by Wilson Liambila · Observational

Study type
Observational
Model
Case-control
Time perspective
Retrospective
Enrollment
585
Ages
15 Years to 49 Years
Sex
Female
01

Study summary

Kenya is one of the countries in sub-Saharan Africa that still experience high maternal mortality. For instance, in 2008/09 maternal mortality ratio was estimated to be 488/100,000 live births. Direct obstetric complications such as puerperal sepsis, postpartum hemorrhage, pre-eclampsia and eclampsia, obstructed labor and indirect causes including HIV, malaria and anemia in pregnancy are responsible for the majority of these cases. Just under 44% of births in Kenya are delivered under the supervision of a skilled birth attendant.

The overall objective of this study is to determine the effect of provider type in the occurrence and management of serious childbirth related complications among postpartum women at the community level in Bungoma and Lugari Districts of Western Province, Kenya.

The proposed study will employ a case control study design in which women with obstetric complication(s)will be cases and women without obstetric complications will be controls. Controls will be sampled concurrently with the cases. Each time a new case is diagnosed, a control is selected from the population at risk in the neighborhood at that point in time.

The study population will consist of women aged 15-49 years with a delivery in the past 12 months. A woman who reports having experienced a birth-related complication will be recruited as a case while woman who reports having experienced no complication during child-birth will be recruited as a control.

Read the detailed description

Evidence from published literature is scanty on the effect of various categories of health providers in averting serious child birth related complications at the community level. For instance, no one knows what happens to pregnancy outcomes for both the mother and the baby in a context where a significant proportion of women are delivered by neighbors, relatives or on their own. Literature is also scanty regarding the outcomes of child birth related complications in situations where Traditional Birth Attendants conduct a significant proportion of deliveries.

A thorough understanding of factors that fuel disrespect and abuse as well as their effect on utilization of delivery services will help providers and programme managers to explore ways of addressing this issue. This study hypothesizes that since majority of deliveries take place at the household level, most complications and even deaths are likely to occur at this level.

The overall objective of this study is to determine the effect of provider type in the occurrence and management of serious childbirth related complications among postpartum women at the community level in Bungoma and Lugari Districts of Western Province, Kenya. Specific objectives of the study are:

To determine the quality of obstetric care given by community midwives and TBAs to clients seeking antenatal care, during delivery and post-partum care at the community level by assessing providers' preparedness and the range of services offered.

To assess the nature of obstetric complications among those women who were delivered by skilled health providers, versus those who were delivered by TBAs, neighbors, friends or on their own To determine the role of socio-economic, demographic and health service related factors in the occurrence of child birth related complications at the community level To obtain views from key stakeholders on the extent and occurrence of child birth related complications at the community level

02

Conditions studied

  • Puerperal Sepsis
  • Postpartum Hemorrhage
  • Preeclampsia and Eclampsia
  • Retained Placenta, Without Hemorrhage
  • Obstructed Labor Due to Breech Presentation

Keywords

  • complications
03

Who can participate

Ages eligible
15 Years to 49 Years
Sexes eligible
Female
Accepts healthy volunteers
Yes
Sampling method
Probability sample

Study population

The study population consisted of women aged 15-49 years with a delivery within 12 months preceding data collection date. A woman who reported having experienced a birth-related complication was recruited as a case. A woman aged 15-49 years with a delivery within 12 months preceding data collection who report having experienced no complication during child-birth was recruited as a control.

Eligibility criteria

Case Inclusion criteria:

  • Delivery in the past 12 months
  • Suffered from obstetric complications during child birth and within 42days
  • Provided oral or written informed consent to participate in the study
  • Age ranges 15-49 years

Control inclusion criteria

  • Delivered in the past 12 months
  • Did not suffer from obstetric complications during child birth and within 42 days after delivery
  • Provided oral or written informed consent to participate in the study
  • Age ranges 15-49 years

Case and Control exclusion criteria:

  • Did not deliver in the past 12 months;
  • Refused to participate in the study;
  • Excluded as controls if experienced complications similar to cases
  • Excluded as cases if they didnot experience complications
  • If unable to give informed consent or follow an interview
04

Study design

Observational model
Case-control
Time perspective
Retrospective
Enrollment
585 participants (actual)
Patient registry
No
Biospecimen retention
None retained

Groups and cohorts

  • Cases (women with complications)

    Cases are women aged 15-49 years who delivered within 12 months prior to data collection and had experienced obstetric complication(s) that either necessitated treatment or hospitalization in order to prevent the likelihood of death of the mother.

  • Control (women who did not experience any complications)

    Controls are women aged 15-49 years who delivered within 12 months prior to data collection. They did not have or develop any of the complications which cases experienced or suffered from.Although controls did not have complications, they were individually matched on the basis of age and location. The idea was to compare how many cases were exposed versus how many controls were exposed.

05

What researchers measure

Primary outcomes

  1. The odds ratio was the primary outcome measure of association between the the occurrence of complications and exposure to health providers in the past 12 months.

    The study sought to determine the association of provider type with the occurrence and management of serious childbirth related complications among postpartum women at the community level in Kenya in the past 12 months.The odds of exposure among cases were compared to the odds of exposure among controls to estimate the magnitude of association between exposure to health providers and other caregivers and the occurrence of complications.

    Time frame: One Year

Secondary outcomes

  1. Proportion of women receiving skilled attendance at birth in the community in the past 12 months.

    This secondary outcome measure was assessed by collecting information on the nature of obstetric complications among those women who were delivered by skilled health providers, versus those who were delivered by Traditional Birth attendants, neighbours, friends or delivered on their own.

    Time frame: One Year

Other outcomes

  1. Proportion of women with obstetric complications reporting to have been referred within 0-4 hours and 5-8 hours of admission or assessment to another level of care in the past 12 months.

    Prompt referral of women with obstetric complications is critical to their survival.Data was captured on the proportion of pregnant women in labour or in the postpartum period who were referred within 0-4hours and 5-8hours by health care providers or other care givers at the community level to the next level of care or the nearest health facilities after assessing or examining them.

    Time frame: One Year

06

Study locations

1 site
  • Lugari and Bungoma districts
    Kakamega, Western Province, Kenya
07

References and documents

Publications

  • Brennan M. Training traditional birth attendants reduces maternal mortality and morbidity. Trop J Obstet Gynaecol. 1988;1(1):44-7. PubMed 12179276 ↗
  • Koblinsky MA, Tinker A, Daly P. Programming for safe motherhood: a guide to action. Health Policy Plan. 1994 Sep;9(3):252-66. doi: 10.1093/heapol/9.3.252. PubMed 10137741 ↗
  • Bisika T. The effectiveness of the TBA programme in reducing maternal mortality and morbidity in Malawi. East Afr J Public Health. 2008 Aug;5(2):103-10. PubMed 19024419 ↗
  • Magoma M, Requejo J, Campbell OM, Cousens S, Filippi V. High ANC coverage and low skilled attendance in a rural Tanzanian district: a case for implementing a birth plan intervention. BMC Pregnancy Childbirth. 2010 Mar 19;10:13. doi: 10.1186/1471-2393-10-13. PubMed 20302625 ↗
  • Knol MJ, Vandenbroucke JP, Scott P, Egger M. What do case-control studies estimate? Survey of methods and assumptions in published case-control research. Am J Epidemiol. 2008 Nov 1;168(9):1073-81. doi: 10.1093/aje/kwn217. Epub 2008 Sep 15. PubMed 18794220 ↗
  • Mushi D, Mpembeni R, Jahn A. Effectiveness of community based Safe Motherhood promoters in improving the utilization of obstetric care. The case of Mtwara Rural District in Tanzania. BMC Pregnancy Childbirth. 2010 Apr 1;10:14. doi: 10.1186/1471-2393-10-14. PubMed 20359341 ↗
  • Thatte N, Mullany LC, Khatry SK, Katz J, Tielsch JM, Darmstadt GL. Traditional birth attendants in rural Nepal: knowledge, attitudes and practices about maternal and newborn health. Glob Public Health. 2009;4(6):600-17. doi: 10.1080/17441690802472406. PubMed 19431006 ↗
  • Kwast BE. Reduction of maternal and perinatal mortality in rural and peri-urban settings: what works? Eur J Obstet Gynecol Reprod Biol. 1996 Oct;69(1):47-53. doi: 10.1016/0301-2115(95)02535-9. PubMed 8909956 ↗
  • Maine D, Akalin MZ, Chakraborty J, de Francisco A, Strong M. Why did maternal mortality decline in Matlab? Stud Fam Plann. 1996 Jul-Aug;27(4):179-87. PubMed 8875731 ↗
  • Rodrigues L, Kirkwood BR. Case-control designs in the study of common diseases: updates on the demise of the rare disease assumption and the choice of sampling scheme for controls. Int J Epidemiol. 1990 Mar;19(1):205-13. doi: 10.1093/ije/19.1.205. PubMed 2190942 ↗
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Registry details

Key details

Study ID
NCT01665456
Lead sponsor
Wilson Liambila
Collaborators
Merck Sharp & Dohme LLC
Responsible party
Wilson Liambila (Senior Programme Officer, Kenyatta National Hospital) — Sponsor-investigator
First posted
Aug 15, 2012
Start date
Aug 2012
Primary completion
Nov 2013
Completion
Mar 2014
Last update
Apr 28, 2014

Study contacts

Shiphrah N. Kuria, MB ChB, MMed (OBGYN)
principal investigator · Division of Reproductive Health- Ministry of Public Health and Sanitation
Wilson N. Liambila, MSc
principal investigator · Population Council

Oversight

Data monitoring committee
Yes
View the source record on ClinicalTrials.gov ↗

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