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Peer-reviewedCC BY 4.0PLOS One

An assessment of the health system’s capacity for major structural birth defects care in Tanzania using anorectal malformations as a tracer condition: A multi-phase, mixed-methods study protocol

  1. 1Department of Surgery, Aga Khan University Medical College, Dar es Salaam, Tanzania
  2. 2Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
  3. 3Global Surgery Division, Department of Surgery, University of Cape Town, Cape Town, South Africa

Abstract

Background: Structural birth defects cause disproportionate neonatal and under-five morbidity and mortality in low- and middle-income countries, where 90–95% of births and associated deaths occur; however, health-system readiness for prevention uptake, early detection, and management remains poorly understood. Anorectal malformations account for 33–40% of the paediatric surgical workload in sub-Saharan Africa, making it a tracer condition for evaluating Tanzania’s capacity across primary, secondary, and tertiary prevention levels. Although delayed detection, high postoperative morbidity, and referral dysfunction are documented, the upstream preconception, antenatal, delivery, and postnatal profile, parental lived experience, external benchmarking of paediatric surgical capacity, and feasibility of a context-specific preoperative checklist remain to be quantified within the Tanzanian clinical environment. Methods: This multi-phase mixed-methods protocol comprises four phases. In Phase I, all mother-newborn dyads where the infant has an anorectal malformation presenting to Muhimbili National Hospital will be enrolled in a cross-sectional study quantifying preconception, antenatal, delivery, and postnatal prevention uptake; multivariable logistic regression will identify predictors of early detection; the sample size will be derived via Cochran’s formula using finite population correction. Phase II will use descriptive phenomenology through purposive in-depth interviews with parents exploring socio-cultural access determinants, analysed via the Stevick-Colaizzi-Keen method. Phase III will conduct a facility-level survey against the Optimal Resources for Children’s Surgery checklist at four tertiary hospitals; domain-specific and total compliance scores will be calculated, gaps quantified against benchmarks, and centres compared using Friedman tests and chi-square or Fisher’s exact tests. Phase IV will test feasibility of a preoperative anorectal malformation checklist at Muhimbili National Hospital, examining practicality and acceptability (non-parametric comparisons). Discussion: This study will produce a system-level appraisal of Tanzania’s capacity to prevent, detect, and manage major structural birth defects using anorectal malformation as a tracer condition. Findings will inform policy, guide resource allocation, and support targeted interventions.

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BibTeX
@article{nyamuryekunge2026assessment,
  title = {{An assessment of the health system’s capacity for major structural birth defects care in Tanzania using anorectal malformations as a tracer condition: A multi-phase, mixed-methods study protocol}},
  author = {Masawa K. Nyamuryekung’e and Kokila Lakhoo and Salome Maswime},
  journal = {PLOS One},
  year = {2026},
  month = oct,
  doi = {10.1371/journal.pone.0359639},
  url = {https://doi.org/10.1371/journal.pone.0359639},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - An assessment of the health system’s capacity for major structural birth defects care in Tanzania using anorectal malformations as a tracer condition: A multi-phase, mixed-methods study protocol
AU  - Masawa K. Nyamuryekung’e
AU  - Kokila Lakhoo
AU  - Salome Maswime
PY  - 2026
DA  - 2026/10/05
JO  - PLOS One
DO  - 10.1371/journal.pone.0359639
UR  - https://doi.org/10.1371/journal.pone.0359639
AB  - Background: Structural birth defects cause disproportionate neonatal and under-five morbidity and mortality in low- and middle-income countries, where 90–95% of births and associated deaths occur; however, health-system readiness for prevention uptake, early detection, and management remains poorly understood. Anorectal malformations account for 33–40% of the paediatric surgical workload in sub-Saharan Africa, making it a tracer condition for evaluating Tanzania’s capacity across primary, secondary, and tertiary prevention levels. Although delayed detection, high postoperative morbidity, and referral dysfunction are documented, the upstream preconception, antenatal, delivery, and postnatal profile, parental lived experience, external benchmarking of paediatric surgical capacity, and feasibility of a context-specific preoperative checklist remain to be quantified within the Tanzanian clinical environment. Methods: This multi-phase mixed-methods protocol comprises four phases. In Phase I, all mother-newborn dyads where the infant has an anorectal malformation presenting to Muhimbili National Hospital will be enrolled in a cross-sectional study quantifying preconception, antenatal, delivery, and postnatal prevention uptake; multivariable logistic regression will identify predictors of early detection; the sample size will be derived via Cochran’s formula using finite population correction. Phase II will use descriptive phenomenology through purposive in-depth interviews with parents exploring socio-cultural access determinants, analysed via the Stevick-Colaizzi-Keen method. Phase III will conduct a facility-level survey against the Optimal Resources for Children’s Surgery checklist at four tertiary hospitals; domain-specific and total compliance scores will be calculated, gaps quantified against benchmarks, and centres compared using Friedman tests and chi-square or Fisher’s exact tests. Phase IV will test feasibility of a preoperative anorectal malformation checklist at Muhimbili National Hospital, examining practicality and acceptability (non-parametric comparisons). Discussion: This study will produce a system-level appraisal of Tanzania’s capacity to prevent, detect, and manage major structural birth defects using anorectal malformation as a tracer condition. Findings will inform policy, guide resource allocation, and support targeted interventions.
SN  - 1932-6203
ER  -