Literature DB >> 33439888

Understanding drivers of family planning in rural northern India: An integrated mixed-methods approach.

Mokshada Jain1, Yael Caplan1, B M Ramesh2, Shajy Isac2,3, Preeti Anand2,4, Elisabeth Engl1, Shiva Halli2, Hannah Kemp1, James Blanchard2, Vikas Gothalwal2,4, Vasanthakumar Namasivayam2, Pankaj Kumar5, Sema K Sgaier1,6,7.   

Abstract

BACKGROUND: Family planning is a key means to achieving many of the Sustainable Development Goals. Around the world, governments and partners have prioritized investments to increase access to and uptake of family planning methods. In Uttar Pradesh, India, the government and its partners have made significant efforts to increase awareness, supply, and access to modern contraceptives. Despite progress, uptake remains stubbornly low. This calls for systematic research into understanding the 'why'-why people are or aren't using modern methods, what drives their decisions, and who influences them.
METHODS: We use a mixed-methods approach, analyzing three existing quantitative data sets to identify trends and geographic variation, gaps and contextual factors associated with family planning uptake and collecting new qualitative data through in-depth immersion interviews, journey mapping, and decision games to understand systemic and individual-level barriers to family planning use, household decision making patterns and community level barriers.
RESULTS: We find that reasons for adoption of family planning are complex-while access and awareness are critical, they are not sufficient for increasing uptake of modern methods. Although awareness is necessary for uptake, we found a steep drop-off (59%) between high awareness of modern contraceptive methods and its intention to use, and an additional but smaller drop-off from intention to actual use (9%). While perceived access, age, education and other demographic variables partially predict modern contraceptive intention to use, the qualitative data shows that other behavioral drivers including household decision making dynamics, shame to obtain modern contraceptives, and high-risk perception around side-effects also contribute to low intention to use modern contraceptives. The data also reveals that strong norms and financial considerations by couples are the driving force behind the decision to use and when to use family planning methods.
CONCLUSION: The finding stresses the need to shift focus towards building intention, in addition to ensuring access of trained staff, and commodities drugs and equipment, and building capacities of health care providers.

Entities:  

Year:  2021        PMID: 33439888      PMCID: PMC7806122          DOI: 10.1371/journal.pone.0243854

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  23 in total

1.  Maternal deaths averted by contraceptive use: an analysis of 172 countries.

Authors:  Saifuddin Ahmed; Qingfeng Li; Li Liu; Amy O Tsui
Journal:  Lancet       Date:  2012-07-10       Impact factor: 79.321

Review 2.  What works in family planning interventions: a systematic review.

Authors:  Lisa Mwaikambo; Ilene S Speizer; Anna Schurmann; Gwen Morgan; Fariyal Fikree
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3.  Judgment under Uncertainty: Heuristics and Biases.

Authors:  A Tversky; D Kahneman
Journal:  Science       Date:  1974-09-27       Impact factor: 47.728

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Authors:  S Booth-Kewley; R R Vickers
Journal:  J Pers       Date:  1994-09

5.  Intentions to use contraceptives in Pakistan: implications for behavior change campaigns.

Authors:  Sohail Agha
Journal:  BMC Public Health       Date:  2010-08-02       Impact factor: 3.295

Review 6.  Strategies for communicating contraceptive effectiveness.

Authors:  Laureen M Lopez; Markus Steiner; David A Grimes; Deborah Hilgenberg; Kenneth F Schulz
Journal:  Cochrane Database Syst Rev       Date:  2013-04-30

7.  Male involvement in family planning: women's perception.

Authors:  A R Nte; N Odu; C E Enyindah
Journal:  Niger J Clin Pract       Date:  2009-09       Impact factor: 0.968

8.  Categorizing and assessing comprehensive drivers of provider behavior for optimizing quality of health care.

Authors:  Elisabeth Engl; Steve Kretschmer; Mokshada Jain; Saransh Sharma; Ram Prasad; B M Ramesh; Mrunal Shetye; Seema Tandon; Sanjiv Kumar; Tisa Barrios Wilson; Sema K Sgaier
Journal:  PLoS One       Date:  2019-04-17       Impact factor: 3.240

9.  Birth spacing and child mortality: an analysis of prospective data from the Nairobi urban health and demographic surveillance system.

Authors:  Jean Christophe Fotso; John Cleland; Blessing Mberu; Michael Mutua; Patricia Elungata
Journal:  J Biosoc Sci       Date:  2012-09-10

10.  Closing the gap on institutional delivery in northern India: a case study of how integrated machine learning approaches can enable precision public health.

Authors:  Vincent S Huang; Kasey Morris; Mokshada Jain; Banadakoppa Manjappa Ramesh; Hannah Kemp; James Blanchard; Shajy Isac; Bidyut Sarkar; Vikas Gothalwal; Vasanthakumar Namasivayam; Pankaj Kumar; Sema K Sgaier
Journal:  BMJ Glob Health       Date:  2020-10
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