| Literature DB >> 27356502 |
Marianne Vidler1, Umesh Ramadurg2, Umesh Charantimath3, Geetanjali Katageri4, Chandrashekhar Karadiguddi3, Diane Sawchuck5, Rahat Qureshi6, Shafik Dharamsi7, Anjali Joshi3, Peter von Dadelszen5, Richard Derman8, Mrutyunjaya Bellad3, Shivaprasad Goudar3, Ashalata Mallapur4.
Abstract
BACKGROUND: Karnataka State continues to have the highest rates of maternal mortality in south India at 144/100,000 live births, but lower than the national estimates of 190-220/100,000 live births. Various barriers exist to timely and appropriate utilization of services during pregnancy, childbirth and postpartum. This study aimed to describe the patterns and determinants of routine and emergency maternal health care utilization in rural Karnataka State, India.Entities:
Keywords: Focus groups; High risk; Hypertension; India; Maternal Health Care Utilization; Maternal Health Services; Postnatal care; Pregnancy; Prenatal care; Qualitative methods; Rural population
Mesh:
Year: 2016 PMID: 27356502 PMCID: PMC4943501 DOI: 10.1186/s12978-016-0138-8
Source DB: PubMed Journal: Reprod Health ISSN: 1742-4755 Impact factor: 3.223
Site characteristics
| India | South India | Karnataka | |
|---|---|---|---|
| Site characteristics | |||
| Population | 1,236,687 | 61,130,704 d | |
| # States | 35 | ||
| Dominant religion | Hindu c | Hindu c | Hindu c |
| Women’s literacy | 55 % c | 68 % c | 58 % c |
| Employment | 36 % currently employed c | 41 % currently employed c | 40 % currently employed c |
| Rural/urban | 32 % urban a | 39 % urban d | |
| Fertility rate | 2.8 c | 1.9 c | 2.1 c |
| Maternal mortality ratio | 178 per 100,000 live births b | 105 per 100,000 live births a | 144 per 100,000 live births a |
| Maternal health care utilization | |||
| Any ANC | 76.4 % c | 94 % c | 89 % c |
| ≥4 ANC | 48 % c | 89 % c (3+) | 76 % c (3+) |
| Facility delivery (%) | 39 % c | 79 % c | 65 % c |
| Skilled attendant at delivery | 47 % c | 84 % c | 70 % c |
aWorld Health Organization Country Profile: India 2012
bOffice of the Registrar of India, 2013
cDemographic Health Survey 2013
dRural Health Statistics in India 2012
Fig. 1Map of study sites, Karnataka State, India
Characteristics of focus group participants
| # | N participants | Age (yr) | Occupation | Child <5 yr | Pregnant | Education | Relationship to woman |
|---|---|---|---|---|---|---|---|
| Median [range] | 1. Housewife | 1. No formal schooling, cannot read or write | 1. Husband | ||||
| Community leaders | |||||||
| 1 | 7 | 36 [31,48] | 1 = ( | Not asked | Not asked | 1 = ( | Not asked |
| 2 = ( | 6 = ( | ||||||
| 8 = ( | |||||||
| 10 = ( | |||||||
| 2 | 10 | 36 [24,51] | 1 = ( | Not asked | Not asked | 1 = ( | Not asked |
| 4 = ( | 3 = ( | ||||||
| 5 = ( | 4 = ( | ||||||
| 5 = ( | |||||||
| 6 = ( | |||||||
| 8 = ( | |||||||
| 9 = ( | |||||||
| 10 = ( | |||||||
| 3 | 10 | Not known | Not known | Not asked | Not asked | Not known | Not asked |
| Male decision-makers | |||||||
| 1 | 8 | 26 [18,57] | 2 = ( | Not applicable | Not applicable | 1 = ( | 1 = ( |
| 3 = ( | 3 = ( | 3 = ( | |||||
| 4 = ( | 6 = ( | 6 = ( | |||||
| 5 = ( | |||||||
| 2 | 11 | 49 [33,59] | 3 = ( | Not applicable | Not applicable | 3 = ( | 2 = ( |
| 5 = ( | 5 = ( | 3 = ( | |||||
| 6 = ( | 6 = ( | ||||||
| 10 = ( | |||||||
| 12 = ( | |||||||
| Female decision-makers | |||||||
| 1 | 10 | 45 [30,60] | 1 = ( | Not applicable | Not applicable | 1 = ( | 4 = ( |
| 2 = ( | 4 = ( | 5 = ( | |||||
| 6 = ( | |||||||
| 2 | 18 | 45 [28,65] | 1 = ( | Not applicable | Not applicable | 1 = ( | Not known |
| 3 = ( | 2 = ( | ||||||
| 4 = ( | 3 = ( | ||||||
| 5 = ( | 12 = ( | ||||||
| 3 | 13 | 48 [30,65] | 1 = ( | Not applicable | Not applicable | 3 = ( | 4 = ( |
| 5 = ( | 5 = ( | ||||||
| 12 = ( | 6 ( | ||||||
| Women of reproductive age | |||||||
| 1 | 55 | Not known | Not known | Not known | Not known | Not known | Not known |
| 2 | 16 | 25 [20,30] | 1 = ( | 56 % | 75 % | 3 = ( | Not applicable |
| 4 = ( | |||||||
| 5 = ( | |||||||
| 6 = ( | |||||||
| 8 = ( | |||||||
| 10 = ( | |||||||
| 12 = ( | |||||||
| 3 | 14 | 23 [18,30] | 1 = ( | 36 % | 86 % | 1 = ( | Not applicable |
| 2 = ( | 3 = ( | ||||||
| 4 = ( | |||||||
| 5 = ( | |||||||
| 6 = ( | |||||||
| 8 = ( | |||||||
| 10 = ( | |||||||
| 4 | 17 | Not known | 1 = ( | 88 % | 100 % | Not known | Not applicable |
| 5 | 14 | 22 [18,58] | 1 = ( | 71 % | 50 % | 3 = ( | Not applicable |
| 3 = ( | 5 = ( | ||||||
| 6 = ( | |||||||
| 10 = ( | |||||||
| 12 = ( | |||||||
| 6 | 16 | 20 [19,26] | 1 = ( | 69 % | 63 % | 3 = ( | Not applicable |
| 4 = ( | |||||||
| 5 = ( | |||||||
| 6 = ( | |||||||
| 8 = ( | |||||||
| Auxiliary nurse midwives and staff nurses | |||||||
| 1 | 8 | 36 [24,56] | Not known | Not asked | Not asked | 6 = ( | Not applicable |
| 8 = ( | |||||||
| 10 = ( | |||||||
| 11 = ( | |||||||
| 2 | 9 | 41 [23,58] | 5 = ( | Not asked | Not asked | 6 = ( | Not applicable |
| 7 = ( | |||||||
| 8 = ( | |||||||
| 10 = ( | |||||||
| 3 | 19 | 39 [25,58] | SN ( | Not asked | Not asked | Not known | Not applicable |
| ANM ( | |||||||
| 4 | 12 | 30 [24,53] | SN ( | Not asked | Not asked | Not known | Not applicable |
| ANM ( | |||||||
| Accredited social health activists | |||||||
| 1 | 10 | 32 [26,36] | Not known | Not asked | Not asked | Not known | Not applicable |
| 2 | 11 | Not known | Not known | Not asked | Not asked | Not known | Not applicable |
| 3 | 15 | Not known | ASHA ( | Not asked | Not asked | Not known | Not applicable |
| 4 | 17 | 33 [21,44] | ASHA ( | Not asked | Not asked | Not known | Not applicable |
| Medical officers | |||||||
| 1 | 15 | Not known | Not asked | Not asked | Not asked | Not asked | Not applicable |
Characteristics of interview participants
| # | Stakeholder | Training | Level of care | Pregnancies/Week | Catchment pop | Pre-eclampsia/12 months |
|---|---|---|---|---|---|---|
| 1 | Medical officer | MBBS | Primary | 50–60 | 19,000 | 5–6 |
| 2 | Medical officer | MBBS | Primary | 10–15 | 35,000 | 20 |
| 3 | Private practitioner | MD OBG | Tertiary | 40–50 | 200,000 | 50–100 |
| 4 | Private practitioner | MBBS & MD OBG | Tertiary | 280–300 | 300–400,000 | 20–25 |
| 5 | Senior health administrator | MS General Surgery |
|
| 1,950,000 |
|
| 6 | Senior health administrator | MBBS & PG in OBG |
|
| 4,800,000 |
|
| 7 | District health officer | Speciality DGO | Secondary | 200–250 | 25,000 | 12–25 |
| 8 | District health officer | MBBS & Diploma OBG | Secondary | 50–60 | 270,000 | 200–220 |
| 9 | Obstetrician | MD OBG | Tertiary | 250 | Unknown | 80–100 |
| 10 | Obstetrician | MBBS & DGO & MD | Tertiary | 200–300 | 300,000 | 500+ |
| 11 | Obstetrician | MBBS & Diploma OBG | Tertiary | 45 | Unknown | 150–200 |
| 12 | Obstetrician | MD OBG | Tertiary | -- | 800–900,000 | 15–17 % |
Fig. 2Thematic analysis structure