Data · dataset · 2023
MAMA : MAternal Mood Assessment survey for healthcare professionals
Listed in Teesside University Research Data Repository
The Maternal Mood Assessment (MAMA) is a thorough evaluation tool aimed at healthcare professionals for measuring their know-how, attitudes, and experiences about perinatal depression.
Description
The survey is broken down into different sections, each zeroing in on a specific aspect of the topic. The first part gathers basic info like age, gender, and career credentials of the healthcare workers, along with where and how long they've been practicing.
Section two focuses on training and hands-on experience dealing with perinatal depression. This covers whether their workplace has a set care path for such cases, if they've had specialized training, and how often they've seen diagnosed mothers. The third section is about understanding and attitudes toward perinatal depression.
Read the rest (2 more)
It asks about definitions, perceived prevalence, risk factors, and best practices for a good relationship with affected mothers. The fourth section gets into the healthcare pros' own experiences and feelings when handling these cases. Questions look at their initial reactions, interactions with the family, and thoughts on effective support methods.
The final part asks for opinions on various management aspects, like breastfeeding, dad's role, involvement of different healthcare roles, and the need for guidelines. Overall, the MAMA survey offers valuable insights into healthcare professionals' views and experiences, useful for shaping interventions and training.
Links
Where it is published
- DOI doi.org/10.17632/sx23zmtcxv.4 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Medicine & Health · Psychology & Behavioral Science · Social Science
- Inferred from text
- Midwifery 74%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/sx23zmtcxv.4 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4204 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license_text | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |