| Literature DB >> 33731319 |
Loubna Belaid1, Pamela Atim2, Eunice Atim3, Emmanuel Ochola4, Martin Ogwang4, Pontius Bayo4, Janet Oola3, Isaac Wonyima Okello3, Ivan Sarmiento5, Laura Rojas-Rozo5, Kate Zinszer6, Christina Zarowsky6, Neil Andersson7,8.
Abstract
OBJECTIVES: Describe participatory codesign of interventions to improve access to perinatal care services in Northern Uganda. STUDYEntities:
Keywords: community-based participatory research; global health; health services; maternal health
Year: 2021 PMID: 33731319 PMCID: PMC7978070 DOI: 10.1136/fmch-2020-000610
Source DB: PubMed Journal: Fam Med Community Health ISSN: 2305-6983
Figure 1Data collection steps.
Figure 2Drawing and digitised map.
Data collection and stakeholder groups
| Data collection | Gender and age | Number | Selection criteria |
| Fuzzy cognitive mapping | Men and women | 5–8 participants for each group | Separate sessions with homogenous groups of men (youth/ adult), women (youth/ adult), traditional midwives, service providers in each parish |
| Focus group discussions | Men and women | 5–8 participants | Separate sessions with homogenous groups of men (youth/ adult), women (youth/ adult), traditional midwives, service providers in each parish |
| Deliberative dialogue | Men and women | 15–20 participants | Heterogeneous sessions with participants who joined the cognitive mapping and focus groups from each stakeholder groups |
| Household survey | Women | Women who delivered in the last 2 years in intervention and control parishes | |
| Narrative interviews using most significant change | Men and women | 3 male youth, 2 female youth, 3 men, 3 women, | Individual sessions with members who participated in cognitive mapping, focus groups and deliberative dialogue |
Sociodemographic characteristics and pregnancy and childbirth outcomes
| Variables | Results from the survey |
| Women interviewed | n255* |
| Age | |
| Number of children | |
| Woman’s education above primary | 37.8% (n249) |
| Woman did not attend school | 4.4% (n249) |
| Household head | |
| Husband | 68% (n255) |
| Parents/parents in laws | 21% (n255) |
| Women | 7% (n255) |
| Other | 4% (n255) |
| Husband is a farmer or manual worker | 77% (n255) |
| Women or family own agricultural land | 83% (n255) |
| More than two acres of land | 62% (n204) |
| Woman is involved in decisions on land | 6% (n214) |
| Woman is farmer or manual worker | 74% (n255) |
| Woman earns money from agricultural work | 97% (n231) |
| Husband is main financial provider at home | 57% (n255) |
| | |
| The partner provided support during last pregnancy | 70% (n254) |
| Who paid for transportation to health facility | |
| Husband | 58% (n234) |
| Women | 30% (n234) |
| Family | 6% (n234) |
| Volunteer/community member | 6% (n234) |
| Woman did not recognise any danger signs during pregnancy | 38% (n250) |
| Woman did not recognise any danger signs during labour | 66% (n249) |
| Woman did not have antenatal care | 2% (n256) |
| Delivered in a health facility | 90% (n250) |
| Woman experienced any form of mental/verbal abuse at home | 36% (n254) |
| Woman experienced physical violence | 19% (n254) |
*n refers to the number of women answering the household baseline survey.
The most influential obstructions to accessing perinatal care
| Causes | Service providers | CHWs | Traditional midwives | Men | Women | Male youth | Female youth |
| Lack of birth preparedness | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| Poor service provider attitude | 0.52 | 0.53 | 0.31 | 0.29 | 0.55 | 0.44 | 0.41 |
| Lack of male support | 0.00 | 0.13 | 0.26 | 0.20 | 0.14 | 0.15 | 0.24 |
CHW, community health worker.
Synthesis of strategies suggested by the communities and service providers
| Main obstruction to perinatal care | Strategies | Likely main effect | Other effects perceived |
| Lack of birth preparedness | Join saving groups | Early prenatal check-ups | Increased community awareness |
| Lack of male support | Raise awareness of men to increase their involvement in perinatal care | Men saving money for facility-based deliveries | |
| Poor service provider’s attitude | Voice complaints through health management committee | Improved provider and community attitudes |