Studies in Family Planning最新文献

Women's contraceptive decision-making control is crucial for reproductive autonomy, but research largely relies on the Demographic and Health Survey (DHS) measure which asks who is involved with decision-making. In India, this typically assesses joint decision-making or male engagement. Newer measures emphasize female agency. We examined three measures of contraceptive decision-making, the DHS and two agency-focused measures, to assess their associations with marital contraceptive communication and use in rural Maharashtra, India. We analyzed follow-up survey data from women participating in the CHARM2 study (n = 1088), collected in June-December 2020. The survey included the DHS (measure 1), Reproductive Decision-Making Agency (measure 2), and Contraceptive Final Decision-Maker measures (measure 3). Only Measure 1 was significantly associated with contraceptive communication (adjusted odds ratio [AOR]: 2.75, 95 percent confidence interval [CI]: 1.69-4.49) and use (AOR: 1.73, 95 percent CI: 1.14-2.63). However, each measure was associated with different types of contraceptive use: Measure 1 with condom (adjusted relative risk ratio [aRRR]: 1.99, 95 percent CI: 1.12-3.51) and intrauterine device (IUD) (aRRR: 4.76, 95 percent CI: 1.80-12.59), Measure 2 with IUD (aRRR: 1.64, 95 percent CI: 1.04-2.60), and Measure 3 with pill (aRRR: 2.00, 95 percent CI: 1.14-3.52). Among married women in Maharashtra, India, male engagement in decision-making may be a stronger predictor of contraceptive communication and use than women's agency, but agency may be predictive of types of contraceptives used.

The main source of method discontinuation data comes from the calendar data of the Demographic and Health Surveys (DHS). DHS considers each episode of use contributed by a woman in the calendar to calculate method discontinuation. This means that episodes from women who contribute only one episode of contraceptive use are combined with episodes from women who contribute multiple episodes of use. This paper explores the DHS calculation of episode-based discontinuation and proposes new indicators that focus specifically on the client and puts her as the unit of analysis. First, we attempt to replicate the DHS calculation by applying weighted averages to episodes from women who contributed only one episode and from women who contributed multiple episodes of use. We then calculate three client-centered discontinuation indicators, using the five-year calendar data of the DHS. The methodology is illustrated by using data collected in Bangladesh, Kenya, and Indonesia. Starting with the very first method used and reported in the calendar and following use over 12 months, we develop a client-centered discontinuation indicator. We build on the calculation of the client-centered discontinuation indicator by: (1) excluding switching to result in all contraceptive discontinuation (complete discontinuation); and (2) limiting discontinuation to women still in need of contraception applying the DHS definitions of in need.

Unmet need plays a critical role in reproductive health research, evaluation, and advocacy. Although conceptually straightforward, its estimation suffers from a number of methodological limitations, most notably its reliance on biased measures of women's stated fertility preferences. We propose a counterfactual-based approach to measuring unmet need at the population level. Using data from 56 countries, we calculate unmet need in a population as the difference between: (1) the observed contraceptive prevalence in the population; and (2) the calculated contraceptive prevalence in a subsample of women who are identified to be from "ideal" family planning environments. Women from "ideal" environments are selected on characteristics that signal their contraceptive autonomy and decision-making over family planning. We find significant differences between our approach and existing methods to calculating unmet need, and we observe variation across countries when comparing indicators. We argue that our indicator of unmet need is preferable to existing population-level indicators due to its independence from biases that are generated from the use of reported preference measures, the simplicity with which it can be derived, and its relevance for cross-country comparisons as well as context-specific analyses.

Sierra Leone was highly impacted by the 2014-2016 West Africa Ebola outbreak, with 3,955 recorded deaths. Already stressed maternal health services were deeply affected by the outbreak due to fears of viral transmission, reallocation of maternity staff, and broader policies to stop transmission including travel restrictions. This research sought to explore women's perspectives on delaying pregnancy during the Ebola outbreak using family planning methods. Qualitative data collection took place in Kambia District in 2018 and included 35 women participants, with women who were either family planning users or nonusers at the time of the outbreak. Women reported a variety of reasons for choosing to take or not to take family planning during the outbreak, which we categorized as proximal (directly related to the outbreak) or distal (not directly outbreak related). Proximal reasons to take family planning included to avoid interacting with health care spaces where Ebola could be transmitted, to avoid the economic burden of additional children in a time when economic activities were curtailed and to return to school when education resumed postoutbreak. Distal reasoning included gender roles affecting women's decision making to seek family planning, concerns related to the physiological side effects of family planning, and the economic burden of paying for family planning. Women's perspectives for choosing to take or not take family planning during the Sierra Leone Ebola crisis had not been explored prior to this paper. Using the lens of family planning to consider how women choose to access health care in an outbreak gives us a unique perspective into how all health care interactions are impacted by a generalized outbreak of Ebola, and how outbreak responses struggle to ensure such services remain a priority.

Monetary incentives are often used to increase the motivation and output of health service providers. However, the focus has generally been on frontline health service providers. Using a cluster randomized trial, we evaluate the effect of monetary incentives provided to community-based volunteers on early initiation of antenatal care (ANC) visits and deliveries in health facilities in communities in Zambia. Monetary incentives were assigned to community-based volunteers in treatment sites, and payments were made for every woman referred or accompanied in the first trimester of pregnancy during January-June 2020. We find a significant increase of about 32 percent in the number of women completing ANC visits in the first trimester but no effect on service coverage rates. The number of women accompanied by community-based volunteers for ANC in the first trimester increased by 33 percent. The number of deliveries in health facilities also increased by 22 percent. These findings suggest that the use of health facilities during the first trimester of pregnancy can be improved by providing community-based volunteers with monetary incentives and that such incentives can also increase deliveries in health facilities, which are key to improving the survival of women and newborns.

The COVID-19 pandemic has had serious impacts on economic, social, and health systems, and fragile public health systems have become overburdened in many countries, exacerbating existing service delivery challenges. This study describes the impact of the COVID-19 pandemic on family planning services within a community-based integrated HIV and sexual and reproductive health intervention for youth aged 16-24 years being trialled in Zimbabwe (CHIEDZA). It examines the experiences of health providers and clients in relation to how the first year of the pandemic affected access to and use of contraceptives.

The past four decades have witnessed an enormous increase in modern contraception in most low- and middle-income countries. We examine the extent to which this change can be attributed to changes in fertility preferences versus fuller implementation of fertility preferences, a distinction at the heart of intense debates about the returns to investments in family planning services. We analyze national survey data from five major survey programs: World Fertility Surveys, Demographic Health Surveys, Reproductive Health Surveys, Pan-Arab Project for Child Development or Family Health, and Multiple Indicator Cluster Surveys. We perform regression decomposition of change between successive surveys in 59 countries (330 decompositions in total). Change in preferences accounts for little of the change: less than 10 percent in a basic decomposition and about 15 percent under a more elaborate specification. This is a powerful empirical refutation of the view that contraceptive change has been driven principally by reductions in demand for children. We show that this outcome is not surprising given that the distribution of women according to fertility preferences is surprisingly stable over time.