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BackgroundGames, when used as interventional tools, can influence behavior change by incentivizing, reinforcing, educating, providing feedback loops, prompting, persuading, or providing meaning, fun, and community. However, not all game elements will appeal to all consumers equally, and different elements might work for different people and in different contexts. ObjectiveThe aim of this study was to conduct a realist review of tabletop games targeting behavior change and to propose a framework for designing effective behavior change games. MethodsA realist review was conducted to inform program theory in the development of tabletop games for health behavior change. The context, mechanisms used to change behavior, and outcomes of included studies were reviewed through a realist lens. ResultsThirty-one papers met the eligibility criteria and were included in the review. Several design methods were identified that enhanced the efficacy of the games to change behavior. These included design by local teams, pilot testing, clearly defined targets of behavior change, conscious attention to all aspects of game design, including game mechanics, dynamics, aesthetics, and the elicitation of emotions. Delivery with other mediums, leveraging behavioral insights, prior training for delivery, and repeated play were also important. Some design elements that were found to reduce efficacy included limited replayability or lack of fun for immersive engagement. ConclusionsGame designers need to consider all aspects of the context and the mechanisms to achieve the desired behavior change outcomes. Careful design thinking should include consideration of the game mechanics, dynamics, aesthetics, emotions, and contexts of the game and the players. People who know the players and the contexts well should design the games or have significant input. Testing in real-world settings is likely to lead to better outcomes. Careful selection and purposeful design of the behavior change mechanisms at play is essential. Fun and enjoyment of the player should be considered, as without engagement, there will be no desired intervention effect.

Context Osteoporosis affects more than half of older women, but many are not treated. Whether treatment differs between rural and urban areas is unknown. Objective To examine differences in osteoporosis treatment among postmenopausal women living in urban and rural areas of Australia. Methods Women participating in the Australian Longitudinal Study on Women's Health, a prospective longitudinal cohort study, born between 1946-1951, and with osteoporosis or fractures, were included. Surveys from 2004 to 2019 were linked to the Pharmaceutical Benefits Scheme (government-subsidized medications) to assess osteoporosis treatment and adherence, comparing geographical areas. Results Of the 4259 women included (mean age, 55.6 years), 1703 lived in major cities, 1629 inner regional, 794 outer regional, and 133 remote areas. Over the 15-year follow-up, 1401 (32.9%) women received treatment, including 47.4% of women with osteoporosis and 29.9% with fractures. Women in outer regional and remote areas were less likely to use antiosteoporosis treatment than those in major cities on univariable analysis (outer regional odds ratio, 0.83; 95% CI, 0.72-0.95; remote, 0.65; 0.49-0.86), but this did not remain significant on multivariable analysis. Median duration of use was 10 to 36 months, adherence varied by treatment type (34%-100%) but was not related to incident fractures, and of the women who stopped denosumab, 85% did not receive another consolidating treatment. Conclusion(s) One-third of women with osteoporosis/fractures received treatment, and adherence was low. There was no difference in treatment use between urban and rural areas after adjusting for risk factors, although the specific treatment used, and adherence, differed. [ABSTRACT FROM AUTHOR]

A composite cardiometabolic risk prediction tool will support the systematic identification of women at increased cardiometabolic risk during pregnancy to enable early screening and intervention. This study aims to identify and select predictor variables for a composite risk prediction tool for cardiometabolic risk (gestational diabetes mellitus and/or hypertensive disorders of pregnancy) for use in the first trimester. A two-round modified online Delphi study was undertaken. A prior systematic literature review generated fifteen potential predictor variables for inclusion in the tool. Multidisciplinary experts (n = 31) rated the clinical importance of variables in an online survey and nominated additional variables for consideration (Round One). An online meeting (n = 14) was held to deliberate the importance, feasibility and acceptability of collecting variables in early pregnancy. Consensus was reached in a second online survey (Round Two). Overall, 24 variables were considered; 9 were eliminated, and 15 were selected for inclusion in the tool. The final 15 predictor variables related to maternal demographics (age, ethnicity/race), pre-pregnancy history (body mass index, height, history of chronic kidney disease/polycystic ovarian syndrome, family history of diabetes, pre-existing diabetes/hypertension), obstetric history (parity, history of macrosomia/pre-eclampsia/gestational diabetes mellitus), biochemical measures (blood glucose levels), hemodynamic measures (systolic blood pressure). Variables will inform the development of a cardiometabolic risk prediction tool in subsequent research. Evidence-based, clinically relevant and routinely collected variables were selected for a composite cardiometabolic risk prediction tool for early pregnancy. [ABSTRACT FROM AUTHOR]

Introduction: There has been increased use of both induction of labor (IOL) and cesarean section for women with term pregnancies in many high‐income countries, and a trend toward birth at earlier gestational ages. Existing evidence regarding the association between IOL and cesarean section for term pregnancies is mixed and conflicting, and little evidence is available on the differential effect at each week of gestation, stratified by parity. Material and methods: To explore the association between IOL and primary cesarean section for singleton cephalic pregnancies at term, compared with two definitions of expectant management (first: at or beyond the week of gestation at birth following IOL; and secondary: only beyond the week of gestation at birth following IOL), we performed analyses of population‐based historical cohort data on women who gave birth in one Australian state (Queensland), between July 1, 2012 and June 30, 2018. Women who gave birth before 37+0 or after 41+6 weeks of gestation, had stillbirths, no‐labor, multiple births (twins or triplets), non‐cephalic presentation at birth, a previous cesarean section, or missing data on included variables were excluded. Four sub‐datasets were created for each week at birth (37–40). Unadjusted relative risk, adjusted relative risk using modified Poisson regression, and their 95% confidence intervals were calculated in each sub‐dataset. Analyses were stratified by parity (nulliparas vs. parous women with a previous vaginal birth). Sensitivity analyses were conducted by limiting to women with low‐risk pregnancies. Results: A total of 239 094 women were included in the analysis, 36.7% of whom gave birth following IOL. The likelihood of primary cesarean section following IOL in a Queensland population‐based cohort was significantly higher at 38 and 39 weeks, compared with expectant management up to 41+6 weeks, for both nulliparas and paras with singleton cephalic pregnancies, regardless of risk status of pregnancy and definition of expectant management. No significant difference was found for nulliparas at 37 and 40 weeks; and for paras at 40 weeks. Conclusions: Future studies are suggested to investigate further the association between IOL and other maternal and neonatal outcomes at each week of gestation in different maternal populations, before making any recommendation. [ABSTRACT FROM AUTHOR]