New Client-Centered Discontinuation Measures Using the Demographic and Health Survey Calendar Data

Aparna Jain1, Elizabeth Tobey2

  • 1Senior Associate, Population Council, 4301 Connecticut Ave, NW, #208, Washington, DC, 20008, USA.

Studies in Family Planning
|September 22, 2022
PubMed

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.

Related Concept Videos

Discharge Summary Forms01:31

Discharge Summary Forms

The discharge summary is crucial as it enables a smooth transition from a healthcare facility to a patient's home or another care setting. This critical document facilitates seamless continuity of care, ensuring patients receive the necessary support and attention.
Here's a detailed look at the key components and guidelines for preparing a discharge summary:
810
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.1K
Assessment of the Cardiovascular System I: Subjective Data01:23

Assessment of the Cardiovascular System I: Subjective Data

A thorough health history and physical assessment are essential for identifying cardiovascular disease (CVD) symptoms and distinguishing them from other health issues.
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
433
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
215
Censoring Survival Data01:09

Censoring Survival Data

Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
203
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
281