Startseite Utilisation of maternal health services by adolescent mothers in Kenya: analysis of the demographic health survey 2008–2009
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Utilisation of maternal health services by adolescent mothers in Kenya: analysis of the demographic health survey 2008–2009

  • Oluwasola Banke-Thomas EMAIL logo , Aduragbemi Banke-Thomas und Charles Anawo Ameh
Veröffentlicht/Copyright: 12. Oktober 2016

Abstract

Background:

Many Kenyan adolescents die following pregnancy and childbirth complications. Maternal health services (MHS) utilisation is key to averting such poor outcomes. Our objectives were to understand the characteristics of adolescent mothers in Kenya, describe their MHS utilisation pattern and explore factors that influence this pattern.

Methods:

We collected demographic and MHS utilisation data of all 301 adolescent mothers aged 15–19 years included in the Kenya Demographic Health Survey 2008/2009 (KDHS). Descriptive statistics were used to characterise them and their MHS utilisation patterns. Bivariate and multivariate analyses were used to test associations between selected predictor variables and MHS utilisation.

Findings:

Eighty-six percent, 48% and 86% of adolescent mothers used ante-natal care (ANC), skilled birth attendance (SBA) and post-natal care (PNC), respectively. Adolescent mothers from the richest quintile were nine (CI=2.00–81.24, p=0.001) and seven (CI=3.22–16.22, p<0.001) times more likely to use ANC and SBA, respectively, compared to those from the poorest. Those with primary education were four (CI=1.68–9.64, p<0.001) and two (CI=0.97–4.81, p=0.043) times more likely to receive ANC and SBA, respectively, compared to uneducated mothers, with similar significant findings amongst their partners. Urban adolescent mothers were six (CI=1.89–32.45, p=0.001) and four (CI=2.00–6.20, p<0.001) times more likely to use ANC and SBA, respectively, compared to their rural counterparts. The odds of Maasai adolescent mothers using ANC was 90% (CI=0.02–0.93, p=0.010) lower than that of Kalenjin mothers.

Conclusions:

Adolescent MHS utilisation in Kenya is an inequality issue. To address this, focus should be on the poorest, least educated, rural-dwelling adolescent mothers living in the most disadvantaged communities.

Acknowledgements

We thank Measure Demographic Health Survey for granting access to the dataset used for this research.

  1. Conflict of interest statement: The authors declare that they have no conflict of interest.

  2. Author’s contributions: Oluwasola Banke-Thomas and Charles Anawo Ameh conceived and designed the study. Oluwasola Banke-Thomas and Aduragbemi Banke-Thomas collected the data and created sub-set data for analysis. All authors were involved in data analysis and interpretation. All authors contributed to manuscript preparation, read and approved the final version.

References

1. World Health Organization. Adolescent pregnancy. Vol. 1, MPS Notes. Geneva, 2008. Available from: http://www.who.int/maternal_child_adolescent/documents/mpsnnotes_2_lr.pdf.Suche in Google Scholar

2. Hendriks S. Delivering the promise of the Sustainable Development Goals for adolescent girls. Leave No One Behind 2015. Available from: http://post2015.org/2015/08/03/delivering-the-promise-of-the-sustainable-development-goals-for-adolescent-girls/.Suche in Google Scholar

3. Mayor S. Pregnancy and childbirth are leading causes of death in teenage girls in developing countries. Br Med J 2004;328:1152.10.1136/bmj.328.7449.1152-aSuche in Google Scholar

4. Patton GC, Coffey C, Sawyer SM, Viner RM, Haller DM, et al. Global patterns of mortality in young people: a systematic analysis of population health data. Lancet 2009;374:881–92.10.1016/S0140-6736(09)60741-8Suche in Google Scholar PubMed

5. Fraser AM, Brockert JE, Ward RH. Association of young maternal age with adverse reproductive outcomes. N Engl J Med 1995;332:1113–7.10.1056/NEJM199504273321701Suche in Google Scholar PubMed

6. Ronsmans C, Graham WJ. Maternal mortality: who, when, where, and why. Lancet 2006;368:1189–200.10.1016/S0140-6736(06)69380-XSuche in Google Scholar PubMed

7. Vogel JP, Pileggi-Castro C, Chandra-Mouli V, Pileggi VN, Souza JP, et al. Millennium Development Goal 5 and adolescents: looking back, moving forward. Arch Dis Child 2015;100(Suppl 1):S43–7.10.1136/archdischild-2013-305514Suche in Google Scholar PubMed

8. Alves JG, Siqueira LC, Melo LM, Figueiroa JN. Smaller pelvic size in pregnant adolescents contributes to lower birth weight. Int J Adolesc Med Health 2013;25:139–42.10.1515/ijamh-2013-0021Suche in Google Scholar PubMed

9. Conde-Agudelo A, Belizán JM, Lammers C. Maternal-perinatal morbidity and mortality associated with adolescent pregnancy in Latin America: cross-sectional study. Am J Obstet Gynecol 2005;192:342–9.10.1016/j.ajog.2004.10.593Suche in Google Scholar PubMed

10. World Health Organization. Adolescent pregnancy: issues in adolescent health and development. Geneva: World Health Organization, 2004. Available from: http://whqlibdoc.who.int/publications/2004/9241591455_eng.pdf.Suche in Google Scholar

11. UNICEF. Fact sheet young people and family planning. Kuala Lumpur: United Nations Children’s Fund (UNICEF), 2008. Available from: http://www.unicef.org/malaysia/Teenage_Pregnancies_-_Overview.pdf.Suche in Google Scholar

12. World Health Organization. World health statistics 2011. Geneva: World Health Organization, 2011. Available from: http://www.who.int/whosis/whostat/EN_WHS2011_Full.pdf.Suche in Google Scholar

13. World Health Organization. World health statistics 2014. Geneva: World Health Organization, 2014. Available from: http://apps.who.int/iris/bitstream/10665/112738/1/9789240 692671_eng.pdf?ua=1.Suche in Google Scholar

14. World Bank. Adolescent fertility rate (births per 1,000 women ages 15–19). Data 2015. Available from: http://data.worldbank.org/indicator/SP.ADO.TFRT/countries.Suche in Google Scholar

15. Magadi M. Poor pregnancy outcomes among adolescents in South Nyanza. Southampton, 2004. (S3RI Applications Working Paper). Report No: A04/04. Available from: http://eprints.soton.ac.uk/8156/1/8156–01.pdf.Suche in Google Scholar

16. Kerber KJ, de Graft-Johnson JE, Bhutta ZA, Okong P, Starrs A, Lawn JE. Continuum of care for maternal, newborn, and child health: from slogan to service delivery. Lancet 2007;370:1358–69.10.1016/S0140-6736(07)61578-5Suche in Google Scholar PubMed

17. Magadi MA, Agwanda AO, Obare FO. A comparative analysis of the use of maternal health services between teenagers and older mothers in sub-Saharan Africa: evidence from Demographic and Health Surveys (DHS). Soc Sci Med 2007;64:1311–25.10.1016/j.socscimed.2006.11.004Suche in Google Scholar PubMed

18. Ochako R, Fotso J-C, Ikamari L, Khasakhala A. Utilization of maternal health services among young women in Kenya: insights from the Kenya Demographic and Health Survey, 2003. BMC Pregnancy Childbirth 2011;11:1.10.1186/1471-2393-11-1Suche in Google Scholar PubMed PubMed Central

19. Kenya National Bureau of Statistics, ICF Macro. Kenya: Demographic and Health Survey 2008–09. Calverton, Maryland, USA, 2010. Available from: http://dhsprogram.com/pubs/pdf/FR229/FR229.pdf.Suche in Google Scholar

20. Birungi H, Obare F, van der Kwaak A, Namwebya JH. Maternal health care utilization among HIV-positive female adolescents in Kenya. Int Perspect Sex Reprod Health 2011;37:143–9.10.1363/3714311Suche in Google Scholar PubMed

21. Kitui J, Lewis S, Davey G. Factors influencing place of delivery for women in Kenya: an analysis of the Kenya demographic and health survey, 2008/2009. BMC Pregnancy Childbirth 2013;13:40.10.1186/1471-2393-13-40Suche in Google Scholar PubMed

22. Gabrysch S, Campbell OMR. Still too far to walk: literature review of the determinants of delivery service use. BMC Pregnancy Childbirth 2009;9:34.10.1186/1471-2393-9-34Suche in Google Scholar PubMed

23. Thaddeus S, Maine D. Too far to walk: Maternal mortality in context. Soc Sci Med 1994;38:1091–110.10.1016/0277-9536(94)90226-7Suche in Google Scholar PubMed

24. Angeli A, Mazzocchetti A, Rettaroli R, Pezzulo C. Adolescent childbearing experiences in Kenya: geographical and socioeconomic determinants. Dipartimento di Scienze Statistiche “Paolo Fortunati”, Alma Mater Studiorum Università di Bologna, 2010. Available from: http://amsacta.unibo.it/2906/1/QuadernoDip_adolescent_childbearing_Kenya_14Dic.pdf.Suche in Google Scholar

25. Szumilas M. Explaining odds ratios. J Can Acad Child Adolesc Psychiatry 2010;19:227–9.Suche in Google Scholar PubMed

26. Short Fabic M, Choi Y, Bird S. A systematic review of Demographic and Health Surveys: data availability and utilization for research. Bull World Health Organ 2012;90:604–12.10.2471/BLT.11.095513Suche in Google Scholar PubMed

27. Ihle P, Swart E, Lampert T, Klug S. GPS – Good Practice in Secondary Data Analysis: Revision after Fundamental Reworking 2008. (GPS). Report No: Version 2. Available from: http://dgepi.de/fileadmin/pdf/leitlinien/gps-version2-final_ENG.pdf.Suche in Google Scholar

28. World Health Organization. WHO recommendation on postnatal care of the mother and the newborn. Geneva: World Health Organization, 2013. Available from: http://apps.who.int/iris/bitstream/10665/97603/1/9789241506649_eng.pdf.Suche in Google Scholar

29. Lukale N. Teenage pregnancy: still a great killer of teenage girls in Kenya. Gender-based Violence 2014. Available from: http://girlsglobe.org/2014/01/09/teenage-pregnancy-still-a-great-killer-of-teenage-girls-in-kenya/.Suche in Google Scholar

30. The Standard. Survey reveals teenagers getting pregnant before 15. Reproductive health 2012;5. Available from: http://www.internewskenya.org/summaries/internews4fe34cdc78b6a.pdf.Suche in Google Scholar

31. The Presidency. Speech by H.E. Hon. Uhuru Kenyatta, C.G.H. President and Commander-in-Chief of the Defence Forces of the Republic of Kenya during the Madaraka Day Celebrations (Nyayo National Stadium, June 1, 2013). Projects 2013. Available from: http://www.president.go.ke/2015/06/01/speech-by-president-uhuru-kenyatta-during-the-2015-madaraka-day-celebrations-at-nyayo-national-stadium-1st-june-2015/.Suche in Google Scholar

32. Ministry of Health Kenya. Status of implementation of free maternity services (FMS) in the devolved health system in Kenya. Nairobi, Kenya, 2015. Available from: http://www.health.go.ke/images/Reports/FMS Report Feb 2015 final1.doc_.pdf.Suche in Google Scholar

33. Singh PK, Rai RK, Alagarajan M, Singh L. Determinants of maternity care services utilization among married adolescents in rural India. PLoS One 2012;7:e31666.10.1371/journal.pone.0031666Suche in Google Scholar PubMed

34. Singh L, Rai RK, Singh PK. Assessing the utilization of maternal and child health care among married adolescent women: evidence from India. J Biosoc Sci 2012;44:1–26.10.1017/S0021932011000472Suche in Google Scholar PubMed

35. Singh PK, Singh L, Kumar C, Rai RK. Correlates of maternal healthcare service utilisation among adolescent women in Mali: analysis of a nationally representative cross-sectional survey, 2006. J Public Health 2012;21:15–27.10.1007/s10389-012-0516-9Suche in Google Scholar

36. Rai RK, Singh PK, Singh L. Utilization of maternal health care services among married adolescent women: insights from the Nigeria Demographic and Health Survey, 2008. Womens Health Issues 2012;22:e407–14.10.1016/j.whi.2012.05.001Suche in Google Scholar PubMed

37. Chanana K. Education attainment, status production and women’s autonomy: a study of two generations of Punjabi women in New Delhi. In: Jeffery R, Basu A, editors. Girls’ Schooling, Women’s Autonomy and Fertility Change in South Asia. New Delhi: SAGE Publications Inc, 1996, 107–32 pp.Suche in Google Scholar

38. Navaneetham K, Dharmalingam A. Utilization of maternal health care services in Southern India. Soc Sci Med 2002;55:1849–69.10.1016/S0277-9536(01)00313-6Suche in Google Scholar PubMed

39. World YWCA. Empowering Adolescent Girls and Teenage Mothers in Kenya. YWCA News 2013. Available from: http://www.worldywca.org/YWCA-News/World-YWCA-and-Member-Associations-News/Empowering-Adolescent-Girls-and-Teenage-Mothers-in-Kenya.Suche in Google Scholar

40. Muganda-Onyando R, Omondi M. Down the drain: counting the costs of teenage pregnancy and school drop out in Kenya. Nairobi, Kenya: Centre for the Study of Adolescence, 2008. Available from: http://searchworks.stanford.edu/view/7911471.Suche in Google Scholar

41. Ochako R, Mbondo M, Aloo S, Kaimenyi S, Thompson R, et al. Barriers to modern contraceptive methods uptake among young women in Kenya: a qualitative study. BMC Public Health 2015;15:118.10.1186/s12889-015-1483-1Suche in Google Scholar PubMed PubMed Central

42. Wegner MN, Landry E, Wilkinson D, Tzanis J. Men as partners in reproductive health: from issues to action. Int Fam Plan Perspect 1998;2438–42.10.2307/2991918Suche in Google Scholar

43. Husain Z, Dutta M. Proximate illiteracy and modern contraceptive use in India: analysis of DHS data. Kolkata, India: Institute of Economic Growth Delhi, Presidency University, 2012. Available from: http://mpra.ub.uni-muenchen.de/39951/1/MPRA_paper_39951.pdf. Accessed: 2015 July 29.Suche in Google Scholar

44. Magoma M, Requejo J, Campbell OMR, 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;10:13.10.1186/1471-2393-10-13Suche in Google Scholar PubMed PubMed Central

45. Rutenberg N, Watkins SC. The buzz outside the clinics: conversations and contraception in Nyanza Province, Kenya. Stud Fam Plann 1997;28:290–307.10.2307/2137860Suche in Google Scholar PubMed

46. King B. Taking health care to the Maasai. Afr Health 1992;14: 27–30.10.1007/BF01783623Suche in Google Scholar PubMed

47. Beyond Zero. Beyond Zero campaign. Home 2015. Available from: http://www.beyondzero.or.ke/.Suche in Google Scholar

48. Muchukuri E, Grenier FR. Social determinants of health and health inequities in Nakuru (Kenya). Int J Equity Health 2009;8:16.10.1186/1475-9276-8-16Suche in Google Scholar PubMed PubMed Central

49. Rai RK, Singh PK, Kumar C, Singh L. Factors associated with the utilization of maternal health care services among adolescent women in Malawi. Home Health Care Serv Q 2013;32:106–25.10.1080/01621424.2013.779354Suche in Google Scholar PubMed

50. Rai RK, Singh PK, Singh L, Kumar C. Individual characteristics and use of maternal and child health services by adolescent mothers in Niger. Matern Child Health J 2013;18:592–603.10.1007/s10995-013-1276-zSuche in Google Scholar PubMed

51. Muldoon KA, Galway LP, Nakajima M, Kanters S, Hogg RS, et al. Health system determinants of infant, child and maternal mortality: a cross-sectional study of UN member countries. Global Health 2011;7:42.10.1186/1744-8603-7-42Suche in Google Scholar PubMed PubMed Central

52. Maslow AH. A theory of human motivation. Psychol Rev 1943;50:370–96.10.1037/h0054346Suche in Google Scholar

53. Osiri J. Report on assesment of maternal healthcare utilisation by women in accessing maternal care in Katwala-Mbitini. Armoud, 2015.Suche in Google Scholar

54. World Bank. Internet users (per 100 people). Data 2014. Available from: http://data.worldbank.org/indicator/IT.NET.USER.P2/countries?display=map.Suche in Google Scholar

55. Canadian Paediatric Society. Impact of media use on children and youth. Paediatr Child Health 2003;8:301–17.10.1093/pch/8.5.301Suche in Google Scholar PubMed PubMed Central

56. Hill AB. The environment and disease: assocaition or causation? Proc R Soc Med 1965;58:295–300.10.1177/003591576505800503Suche in Google Scholar

57. WHO. Making pregnancy safer: the critical role of the skilled attendant: a joint statement by WHO, ICM and FIGO. Geneva: World Health Organization, 2004. Available from: http://whqlibdoc.who.int/publications/2004/9241591692.pdf.Suche in Google Scholar

58. Kenya National Bureau of Statistics, ICF International. 2014 Kenya demographic and health survey: key findings. Rockville, Maryland, 2015. Available from: https://www.dhsprogram.com/pubs/pdf/SR227/SR227.pdf.Suche in Google Scholar

59. Godia PM, Olenja JM, Hofman JJ, van den Broek N, Ringheim K, et al. Young people’s perception of sexual and reproductive health services in Kenya. BMC Health Serv Res 2014;14:172.10.1186/1472-6963-14-172Suche in Google Scholar PubMed PubMed Central

60. Reynolds HW, Wong EL, Tucker H. Adolescents’ use of maternal and child health services in developing countries. Int Fam Plan Perspect 2006;32:6–16.10.1363/3200606Suche in Google Scholar PubMed

Received: 2016-5-3
Accepted: 2016-8-14
Published Online: 2016-10-12

©2018 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Editorial
  2. Sibling abuse: a Cadmean victory for societal indifference!
  3. Original Articles
  4. Effectiveness of a modified dialectical behaviour therapy for adolescents within a stepped-care model
  5. The parental role in adolescent screen related sedentary behavior
  6. Parental support for human papilloma virus vaccination by adolescents in Ibadan North Local Government Area, Ibadan, Nigeria
  7. Evaluation of social anxiety, self-esteem, life quality in adolescents with acne vulgaris
  8. A retrospective chart review: adolescents with borderline personality disorder, borderline personality traits, and controls
  9. Orofacial pain and quality of life in early adolescents in India
  10. Immune status of representative infectious diseases among Japanese female university students
  11. Using photovoice in adolescent health research: a case-study of the Well-being of Adolescents in Vulnerable Environments (WAVE) Study in Ibadan, Nigeria
  12. Utilisation of maternal health services by adolescent mothers in Kenya: analysis of the demographic health survey 2008–2009
  13. Parents as partners in adolescent HIV prevention in Eastern and Southern Africa: an evaluation of the current United Nations’ approach
  14. Eating habits and presence of cardiovascular risks in children
  15. Ignorance could hurt: an assessment of fertility awareness, childbirth intentions and parenting attitudes among university students
  16. Influenza vaccination challenges in an at-risk student population: considerations for health services
  17. Case Report
  18. From oliguria to urinary incontinence: a case of Munchausen’s syndrome in an adolescent boy
  19. Short Communications
  20. Both high and low testosterone levels may play a role in suicidal behavior in adolescent, young, middle-age, and older men: a hypothesis
  21. Obesity and facial dysmorphism in an adolescent patient with a 16p11.2 microdeletion
Heruntergeladen am 2.11.2025 von https://www.degruyterbrill.com/document/doi/10.1515/ijamh-2016-0042/html?lang=de
Button zum nach oben scrollen