| Literature DB >> 29945662 |
Umesh Charanthimath1, Marianne Vidler2, Geetanjali Katageri3, Umesh Ramadurg4, Chandrashekhar Karadiguddi1, Avinash Kavi1, Anjali Joshi1, Geetanjali Mungarwadi1, Sheshidhar Bannale5, Sangamesh Rakaraddi6, Diane Sawchuck7, Rahat Qureshi8, Sumedha Sharma2, Beth A Payne2, Peter von Dadelszen9, Richard Derman10, Laura A Magee9, Shivaprasad Goudar1, Ashalata Mallapur11, Mrutyunjaya Bellad1, Zulfiqar Bhutta, Sheela Naik, Anis Mulla, Namdev Kamle, Vaibhav Dhamanekar, Sharla K Drebit, Chirag Kariya, Tang Lee, Jing Li, Mansun Lui, Asif R Khowaja, Domena K Tu, Amit Revankar.
Abstract
BACKGROUND: Hypertensive disorders are the second highest direct obstetric cause of maternal death after haemorrhage, accounting for 14% of maternal deaths globally. Pregnancy hypertension contributes to maternal deaths, particularly in low- and middle-income countries, due to a scarcity of doctors providing evidence-based emergency obstetric care. Task-sharing some obstetric responsibilities may help to reduce the mortality rates. This study was conducted to assess acceptability by the community and other healthcare providers, for task-sharing by community health workers (CHW) in the identification and initial care in hypertensive disorders in pregnancy.Entities:
Keywords: Antihypertensives; Blood pressure; Community health workers; Magnesium sulphate; Pre-eclampsia; Task-sharing
Mesh:
Year: 2018 PMID: 29945662 PMCID: PMC6019995 DOI: 10.1186/s12978-018-0532-5
Source DB: PubMed Journal: Reprod Health ISSN: 1742-4755 Impact factor: 3.223
Fig. 1Map of the study site
Site characteristics
| India | South India | Karnataka | |
|---|---|---|---|
| Site characteristics | |||
| Population | 1028,610,328a | 61095297d | |
| # States | 35 | 5 | (30 Districts) |
| Dominant religion | Hinduc | Hinduc | Hinduc |
| Women’s literacy | 55%c | 68%c | 58%c |
| Employment | 36% currently employedc | 41% currently employedc | 40% currently employedc |
| Rural /Urban | 32% urbana | 39% urband | |
| Fertility rate | 2.8c | 1.9c | 2.1c |
| Maternal mortality ratio | 178 per 100,000 live birthsb | 105 per 100,000 live birthsa | 144 per 100,000 live birthsa |
| Maternal health care utilization | |||
| ANY ANC | 76.4%c | 94%c | 89%c |
| ≥ 4 ANC | 48%c | 89%c
| 76%c |
| Facility delivery (%) | 39%c | 79%c | 65%c |
| Skilled attendant at delivery | 47%c | 84%c | 70%c |
a World Health Organization Country Profile: India 2012
b Office of the Registrar of India, 2013
c Demographic Health Survey 2013
d Rural Health Statistics in India 2012
Characteristics of focus group participants
| # | Stakeholder Group | District | Education status | Total Participants | |||
|---|---|---|---|---|---|---|---|
| A | B | C | D | ||||
| 1 | Community Leaders | Bagalkote | 0 | 6 | 1 | 0 | 7 |
| 2 | Community Leaders | Bagalkote | 1 | 8 | 1 | 0 | 10 |
| 3 | Community Leaders | Belagavi | – | – | – | 10 | 10 |
| 4 | Male Decision-Makers | Bagalkote | 3 | 3 | 2 | 0 | 8 |
| 5 | Male Decision-Makers | Belagavi | 0 | 9 | 2 | 0 | 11 |
| 6 | Female Decision-Makers | Bagalkote | 8 | 2 | 0 | 0 | 10 |
| 7 | Female Decision-Makers | Belagavi | 12 | 4 | 2 | 0 | 18 |
| 8 | Female Decision-Makers | Belagavi | 11 | 2 | 0 | 0 | 13 |
| 9 | Women of Reproductive Age | Belagavi | – | – | – | 55 | 55 |
| 10 | Women of Reproductive Age | Bagalkote | 0 | 15 | 1 | 0 | 16 |
| 11 | Women of Reproductive Age | Bagalkote | 3 | 8 | 3 | 0 | 14 |
| 12 | Women of Reproductive Age | Belagavi | 0 | 15 | 2 | 0 | 17 |
| 13 | Women of Reproductive Age | Belagavi | 3 | 8 | 3 | 0 | 14 |
| 14 | Women of Reproductive Age | Belagavi | 0 | 10 | 6 | 0 | 16 |
| 41 (18.7%) | 90 (41.1%) | 23 (10.5%) | 65 (29.68%) | ||||
|
| 219 | ||||||
A – Illiterate
B- Primary/Secondary Schooling
C – Pre university / University
D – Don’t Know
Characteristics of In-depth Interview participants
| # | Stakeholder | Training | Level of Care | Pregnancies/ Week |
|---|---|---|---|---|
| 1 | Medical Officer | MBBS | Primary | 50–60 |
| 2 | Medical Officer | MBBS | Primary | 10–15 |
| 3 | Private Practitioner | MBBS, MD in OBG | Tertiary | 40–50 |
| 4 | Private Practitioner | MBBS, MD in OBG | Tertiary | 280–300 |
| 5 | Senior Health Administrator | MS General Surgery |
|
|
| 6 | Senior Health Administrator | MBBS & Diploma in OBG |
|
|
| 7 | Taluka Health Officer | MBBS, Diploma in OBG | Secondary | 200–250 |
| 8 | Taluka Health Officer | MBBS & Diploma OBG | Secondary | 50–60 |
| 9 | Obstetrician | MBBS, MD in OBG | Tertiary | 250 |
| 10 | Obstetrician | MBBS, DGO, MD in OBG | Tertiary | 200–300 |
| 11 | Obstetrician | MBBS, Diploma in OBG | Tertiary | 45 |
| 12 | Obstetrician | MBBS, MD in OBG | Tertiary | – |
Fig. 2Pictorial representations of facilitators and barriers for task-sharing