Evidence map›Paper›PMID 42260428›Full record

ArticleBMC pregnancy and childbirth2026

Translation and evaluation of the Perinatal Grief Intensity Scale in Kenya and Uganda.

Allen Nabisere, Sabina Wakasiaka, James Dodd, Lucie Byrne-Davis, Maia Lesosky, Tina Lavender, Tracey A Mills, Elizabeth Ayebare

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Article in BMC pregnancy and childbirth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Allen NabisereSchool of Public Health, College of Health Sciences, Makerere University, P.O Box 7072, Kampala, Uganda. nabisereallen@gmail.com.
Sabina WakasiakaUniversity of Nairobi, Nairobi, Kenya.
James DoddLiverpool School of Tropical Medicine, Liverpool, UK.
Lucie Byrne-DavisThe University of Manchester, Manchester, UK.
Maia LesoskyNational Heart and Lung Institute, Imperial College London, London, UK.
Tina LavenderLiverpool School of Tropical Medicine, Liverpool, UK.
Tracey A MillsLiverpool School of Tropical Medicine, Liverpool, UK.
Elizabeth AyebareDepartment of Nursing, College of Health Sciences, Makerere University, Kampala, Uganda.

Funding

National Institute for Health and Care Research NIHR132037
6 · The paper itself

Abstract

BACKGROUND AND

aimStillbirth or neonatal death are distressing life experiences for parents. In many sub-Saharan African countries, bereavement care and support are inadequate. Context-appropriate interventions are needed to improve perinatal bereavement care. To assess whether these interventions work, reliable assessment tools are required. This study aimed to translate and evaluate the Perinatal Grief Intensity Scale [PGIS] for use among bereaved women in Kenya and Uganda.

methodsA mixed-methods study, involving cross cultural translation, adaptation and psychometric evaluation in Kenya and Uganda. The PGIS was translated into Kiswahili and Luganda with input from community engagement groups and stakeholders. Pilot-testing was conducted in 2 stages; 'Think aloud' interviews (n = 16) and test-retest (n = 20). The finalised tools were tested with 160 women who had experienced stillbirth or neonatal death, 20 in the test-retest phase and 140 in wider testing. Analyses included test-retest reliability, internal consistency and exploratory associations with participant characteristics using single variable linear regression.

resultsAgreed translations of the PGIS in Kiswahili and Luganda were produced. In pilot testing, test-retest consistency was high with an intraclass correlation coefficient of 0.840 (95% CI, 0.590-0.937). Wider testing demonstrated acceptable internal consistency, Cronbach's alpha of the total PGIS score was 0.737, confirming overall reliability, with similar results in the pilot testing and wider testing subgroups. Single variable linear regression showed that PGIS scores were higher for women in Uganda (coefficient 0.123, 95% Confidence Interval (CI) 0.042 to 0.205, p value = 0.003) compared to Kenya, and higher for caesarean births (coefficient 0.113, 95% CI 0.014 to 0.211, p value = 0.025) compared to vaginal births.

conclusionPreliminary evaluation of the Kiswahili and Luganda versions of the PGIS demonstrated good reliability for use in Kenya and Uganda. The tools have potential for future use in research to assess the impact of bereavement care interventions and in clinical practice to identify women who would benefit from increased bereavement support. Further assessments, including factor analyses and predictive performance are required to establish validity in this context.

Indexed as

GriefStillbirthAdultFemaleHumansInfant, NewbornKenyaPerinatal DeathPilot ProjectsPregnancyPsychometricsReproducibility of ResultsSurveys and QuestionnairesTranslatingTranslationsUgandaBereavementNeonatal deathPerinatal Grief Intensity ScaleStillbirthSub-Saharan AfricaTranslation and evaluation

Identifiers

PMID42260428
PMCPMC13483843

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.