| Literature DB >> 31409278 |
Jesse A Greenspan1,2, Joy J Chebet1,3, Rose Mpembeni4, Idda Mosha5, Maurus Mpunga6, Peter J Winch1, Japhet Killewo7, Abdullah H Baqui1, Shannon A McMahon1,8.
Abstract
BACKGROUND: Increasing the utilization of facility-based care for women and newborns in low-resource settings can reduce maternal and newborn morbidity and mortality. Men influence whether women and newborns receive care because they often control financial resources and household decisions. This influence can have negative effects if men misjudge or ignore danger signs or are unwilling or unable to pay for care. Men can also positively affect their families' health by helping plan for delivery, supplementing women's knowledge about danger signs, and supporting the use of facility-based care. Because of these positive implications, researchers have called for increased male involvement in maternal and newborn health. However, data gathered directly from men to inform programs are lacking.Entities:
Keywords: Care seeking; Gender; Healthcare financing; Male involvement; Maternal health; Newborn health; Tanzania
Mesh:
Year: 2019 PMID: 31409278 PMCID: PMC6693212 DOI: 10.1186/s12884-019-2439-8
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Summary of Decision Making and Access to Health Care Indicators from Demographic and Health Surveys
| Participation in decision making about a woman’s own health care | Person who decides how wife’s cash earnings are used | Women’s problems accessing health care for themselves when they are sick | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Country | Year | Mainly Husband | Wife and husband jointly | Mainly wife | Mainly Husband | Wife and husband jointly | Mainly wife | Getting perm-ission to go for treatment | Getting money for treatment | Not wanting to go alone |
| Tanzania [ | 2010 | 38.1 | 45 | 15.3 | 16.6 | 47.2 | 35.9 | 2.4 | 24.1 | 10.5 |
| Tanzania [ | 2015/ 2016 | 27.5 | 56.4 | 15.7 | 8.6 | 55.3 | 36.1 | 14.3 | 49.5 | 29.9 |
Burundi [ | 2010 | 22.6 | 63.6 | 13.6 | 12.6 | 65.1 | 22.0 | 37.3 | 77.0 | 41.1 |
Kenya [ | 2014 | 20.9 | 40.1 | 38.6 | 8.7 | 41.2 | 49.4 | 6.0 | 36.7 | 10.6 |
| Rwanda [ | 2014/ 2015 | 16.0 | 60.1 | 23.2 | 12.4 | 67.5 | 19.5 | 2.7 | 49.3 | 17.6 |
| Uganda [ | 2011 | 39.1 | 36.9 | 23.3 | 14.3 | 30.9 | 52.7 | 5.5 | 48.8 | 22.4 |
Study rigor as informed by Lincoln and Guba (1985) and McMahon and Winch (2018)
| Principlea | As Enacted in this Study |
|---|---|
| 1. Prolonged engagement | - The research team was living in this setting and actively working on the larger evaluation for a minimum of six months, but more often several years. Via this immersion, the research team was attuned to the behaviors, priorities, and relationships inherent to this study setting. |
| 2. Analyst triangulation | - Debriefingsb were conducted each night throughout data collection and involved all members of the data collection team sharing, comparing, amplifying, or refuting one another’s findings. Findings from debriefings were presented to Tanzania-based researchers, program implementers, and policymakers engaged in maternal health programs for feedback. Debriefing memos formed the basis for an audit trail of the study. - Members of the research team who undertook data collection also participated in data analysis. During analysis, at least two analysts analyzed each theme report and compared interpretations. - Throughout analysis, in the event of discrepancies, two senior researchers who were present throughout data collection and led most debriefings, weighed in and determined a way forward (highlighting opportunities for re-translation of interviews as necessary) - All final results were reviewed by the full research team (including most data collectors) |
aAs informed by Lincoln and Guba 1985 [41]; bAs informed by McMahon & Winch 2018 [42]
Demographic characteristics of respondents
| Characteristic | Total ( | Percent (%) |
|---|---|---|
| Age and number of children | ||
| Age (years) (Median/Range): 34/22–60 ( | N/A | N/A |
| Age 20–29 | 9 | 33.3 |
| Age 30–39 | 8 | 29.6 |
| Age 40–49 | 4 | 14.8 |
| Age 50–59 | 3 | 11.1 |
| Age 60–69 | 1 | 3.7 |
| Unknown | 2 | 7.4 |
| Number of children (Mean/Range): 3.24/1–11 (n = 25) | N/A | N/A |
| District | ||
| Kilombero | 1 | 3.7 |
| Kilosa and Gairo (one district at time of study) | 10 | 37.0 |
| Morogoro Rural | 2 | 7.4 |
| Mvomero | 8 | 29.6 |
| Ulaya | 6 | 22.2 |
| Distance from health center | ||
| Near (< 3 km) | 12 | 44.4 |
| Far (> 3 km) | 15 | 55.6 |
| Marital status | ||
| Married | 23 | 85.2 |
| Single | 1 | 3.7 |
| Engaged | 1 | 3.7 |
| Not reported | 2 | 7.4 |
| Level of education | ||
| Started primary school | 3 | 11.1 |
| Completed primary school | 17 | 63.0 |
| Completed secondary school | 3 | 11.1 |
| No formal education | 3 | 11.1 |
| Not reported | 1 | 3.7 |
| Delivery location of most recent birth | ||
| Health facility | 22 | 81.5 |
| Home | 2 | 7.4 |
| En route to facility (birth before arrival) | 3 | 11.1 |
Fig. 1The Three Delays Model Applied to Male Involvement in Maternal Care Seeking