“Taking Care of Your Pregnancy”: A mixed-methods study of group antenatal care in Kakamega County, Kenya

Background Traditional antenatal care (ANC) models often do not meet women’s needs for information, counseling, and support, resulting in gaps in quality and coverage. Group ANC (GANC) provides an alternative, person-centered approach where pregnant women of similar gestational age meet with the same health provider for facilitated discussion. There are few studies that show associations between GANC and various outcomes. Methods We used mixed methods to evaluate a contextualized GANC model (Lea Mimba Pregnancy Clubs) and to understand implementation experiences at six health facilities in Kakamega County, Kenya. Between April 2018 and January 2019, we tracked 1,652 women who were assigned to 162 GANC cohorts to assess ANC retention. Using an intention-to-treat approach, we conducted baseline (N = 112) and endline surveys (N = 360) with women attending immunization visits to assess outcomes and used time diaries to assess wait times. At endline, we conducted 29 in-depth interviews (IDIs) and three focus group discussions with women who were currently and previously participating in GANC, and 15 IDIs with stakeholders. Results GANC was associated with enhanced social support, with some evidence for improved knowledge, adoption of healthy behaviors, enhanced self-efficacy, and improved experience of care. Quantitatively, we found strong associations between GANC and knowledge of danger signs, women who shared their feelings with other women, knowledge and competence of health workers, respect shown by ANC providers, overall quality of care, and birth preparations; as well as an improvement in ANC retention. No changes were seen in knowledge of positive behaviors, empowerment, several aspects related to women’s experience of care, ANC retention, early initiation of ANC, and other healthy behaviors. Qualitatively, women and stakeholders noted improved interactions between health providers and women, improved counseling, increased feelings of empowerment to ask questions and speak freely, and strengthened social networks and enhanced social cohesion among women. Both wait times and counseling times increased in GANC compared to traditional ANC. Conclusions This is one of the few mixed-methods studies evaluating GANC and offers new measures for experience of care, empowerment, and adoption of healthy behaviors. While more research is required, GANC holds promise for enhancing women’s experiences during pregnancy. Modifications are needed for sustainability and scalability.

Toward a Better Understanding of the Associations Among Different Measures of Father Involvement and Parenting Alliance

The variety of measurement methods used in fathering research to assess fathers’ involvement makes it difficult to summarize what we know about paternal involvement and its correlates and antecedents. Aiming to shed light on the potential consequences of using different measures of paternal involvement, this study examined: (a) the associations among three measures of father participation in parental activities, namely self- and mother-reported questionnaires and a father-completed time diary, and (b) their respective associations with a well-documented predictor of father involvement, i.e., parenting alliance. The sample included 80 parental couples with a 6-month-old child. Although moderate associations were found among measures of father involvement, only the maternal and paternal questionnaires were associated with parenting alliance. These results suggest that time diaries and questionnaires tap into different aspects of father involvement that can have distinct correlates and determinants. Better acknowledgment of the diverging results attributable to the use of different measurement approaches of father involvement is needed.

Improving Time Use Measurement with Personal Big Data Collection – The Experience of the European Big Data Hackathon 2019

This article assesses the experience with i-Log at the European Big Data Hackathon 2019, a satellite event of the New Techniques and Technologies for Statistics (NTTS) conference, organised by Eurostat. i-Log is a system that enables capturing personal big data from smartphones’ internal sensors to be used for time use measurement. It allows the collection of heterogeneous types of data, enabling new possibilities for sociological urban field studies. Sensor data such as those related to the location or the movements of the user can be used to investigate and gain insights into the time diaries’ answers and assess their overall quality. The key idea is that the users’ answers are used to train machine-learning algorithms, allowing the system to learn from the user’s habits and to generate new time diaries’ answers. In turn, these new labels can be used to assess the quality of existing ones, or to fill the gaps when the user does not provide an answer. The aim of this paper is to introduce the pilot study, the i-Log system and the methodological evidence that emerged during the survey.

Beyond Childcare: Changes in the Amount and Types of Parent-Child Time over Three Decades

Parents’ time with children has increased over the past several decades, according to many scholars. Yet, research predominantly focuses on childcare activities, overlooking the majority of time parents spend with children. Using time diaries from the 1986-2015 Canadian General Social Survey, we examine trends in the quantity and distribution of parents’ childcare time and total contact time in the company of children, as well as the behavioral or compositional drivers of these trends. Contact time with children increased sharply since the mid-1980s, by 1 hour per day for fathers and 1.5 hours for mothers. This rise was driven not only by childcare activities but also parents’ time in housework and mothers’ time in leisure with children present. Decomposition analyses indicate that changes in parenting behavior primarily explain these increases in contact time. This study expands knowledge on intensive parenting through a more comprehensive understanding of parents’ daily lives with children.

Mode Effects on Data Quality and Measurement in a Mixed-Mode Time-Use Survey

Recent years have witnessed an increasing interest in the use of new technologies for time-use data collection, driven by their potential to reduce survey administration costs and improve data quality. However, despite the steady growth of studies that employ web and app time diaries, there is little research on their comparability with traditional paper-administered diaries that have long been regarded as the “gold standard” for measurement in time-use research. This paper rectifies this omission by investigating diary mode effects on data quality and measurement, drawing on data from a mixed-mode large-scale time diary study of adolescents in the United Kingdom. After controlling for selection effects, we find that web and app diaries yield higher quality data than paper diaries, which attests to the potential of new technologies in facilitating diary completion. At the same time, our analysis of broad time-use domains does not find substantial mode effects on measurement for the majority of daily activity categories. We conclude by discussing avenues for future methodological research and implications for time-use data collection.

Housework time within family households: Mothers', fathers', and siblings' contributions

Objective: To investigate time use of housework for all members of shared family households with a special focus on how time allocation varied by siblings’ sex-composition. Background: Two knowledge gaps were addressed: first, young people’s contribution to housework, since studying children in their primary socialization environment adds to the understanding of the foundations of gender inequality in unpaid work times over the life course and in society; second, the allocation of housework time between all family members, as there is yet no study that includes every household member in the analysis of housework time allocation within family households. Methods: 1,263 four-person-households were sampled from the German Time Use Study (pooled data from 1991/1992, 2001/2002 and 2012/2013). Using information from 13,525 time diaries, the absolute and relative time use for several housework activities was analyzed for weekdays and weekends by siblings’ sex-composition, applying linear regression. Results: Mothers and daughters spent more time for housework and routine chores than fathers and sons in shared family households. Total housework time was lowest in households with two sons and highest in households with two daughters. In households with opposite-sex siblings, daughters and sons performed a division of housework that closely resembled the traditional model of gender inequality. Conclusion: Even in times of gender convergence, traditional housework behavior is transmitted from parents to their children.

Sequence Analysis

This chapter explores sequence analysis (SA), which conceives the social world as happening in processes, in series of events experienced by social entities. SA refers to a set of tools used to summarize, represent, and compare sequences — i.e. ordered lists of items. Job careers (succession of job positions) are typical examples of sequences. Various other topics have been studied through SA, such as steps in traditional English dances, country-level adoption of welfare policies over one century, or individual and family time-diaries. Andrew Abbott played a pioneering role in the diffusion of SA. With colleagues, Abbott introduced optimal matching analysis (OMA) in the social sciences, a tool to compare sequences borrowed from computer science and previously adapted to DNA sequences. Abbott’s work on SA was part of a wider methodological thinking on social processes. The chapter then looks at the most common type of sequences in social science: categorical time series — i.e. successions of states with a duration defined on a more or less refined chronological scale.

Time Use Implication of Clean Cookstoves in Rural Settings in Ghana: A Time Use Study

Whilst the health benefit of using clean cookstoves and fuels is widely known, there is limited information on the non-health benefit of these stoves, especially in low-middle-income countries. This paper reports the time use implications of using clean cookstoves and fuels by comparing liquified petroleum gas (LPG), an improved biomass cookstove (BioLite), and traditional biomass cookstoves (three-stone fires) in Ghana. Using survey-based time diaries, information on all the activities undertaken by study participants during a 24-h was collected and analyzed. The findings of the study show that LPG users spent significantly less time gathering firewood compared to the users of improved cookstoves and three-stone fires. LPG users spent slightly less time per cooking episode, generally, and there was no significant difference in cooking time across the three cookstoves mostly due to stove stacking. Time spent engaging in economic activities was highest for LPG users and improved biomass cookstove users, at least when compared to three-stone fire users. In this study, we provide evidence on the time use implications of clean cookstoves, highlighting their non-health benefits and supporting efforts towards the adoption and sustained used of clean cookstoves

Triangulating Multi-Method Assessments of Parental Support for Early Math Skills

Past research has examined parental support for math during early childhood using parent-report surveys and observational measures of math talk. However, since most studies only present findings from one of these methods, the construct (parental support for early math) and the method are inextricably linked, and we know little about whether these methods provide similar or unique information about children’s exposure to math concepts. This study directly addresses the mono-operation bias operating in past research by collecting and comparing multiple measures of support for number and spatial skills, including math talk during semi-structured observations of parent–child interactions, parent reports on a home math activities questionnaire, and time diaries. Findings from 128 parents of 4-year-old children reveal substantial within-measure variability across all three data sources in the frequency of number and spatial activities and the type and content of parent talk about number and spatial concepts. Convergence in parental math support measures was evident among parent reports from the questionnaire and time diaries, such that scale composites about monthly number activities were related to number activities on the previous work day, and monthly spatial activities were correlated with spatial activities the prior non-work days. However, few parent report measures from the survey or time diary were significantly correlated with observed quantity or type of math talk in the semi-structured observations. Future research implications of these findings are discussed.