Testing the Effectiveness of a Future Selves Intervention for Increasing Retirement Saving: Evidence from a Field Experiment in Mexico

One psychological barrier impeding saving behavior is the inability to fully empathize with one’s future self. Future self interventions have improved savings by helping people overcome this obstacle. Despite the promise of such interventions, previous research has focused predominantly on hypothetical contexts and western settings where the target sample has been predominantly undergraduate. Do interventions that encourage people to more concretely consider their future selves during retirement still have a positive effect on behavior in consequential, real-world savings decisions? Using a field experiment in Mexico (N = 7,603), where less than 1% make a voluntary savings contribution annually, we developed a low-cost, easy-to-implement intervention to test whether concrete thinking about one’s future life improves recurring retirement savings signups relative to a status quo, control group. We find that future self decision aids significantly improved the likelihood of signing up for an automatic recurring savings plan by nearly four times compared to the control.

Wearable Sensors and Machine Learning for Hypovolemia Problems in Occupational, Military and Sports Medicine: Physiological Basis, Hardware and Algorithms

Hypovolemia is a physiological state of reduced blood volume that can exist as either (1) absolute hypovolemia because of a lower circulating blood (plasma) volume for a given vascular space (dehydration, hemorrhage) or (2) relative hypovolemia resulting from an expanded vascular space (vasodilation) for a given circulating blood volume (e.g., heat stress, hypoxia, sepsis). This paper examines the physiology of hypovolemia and its association with health and performance problems common to occupational, military and sports medicine. We discuss the maturation of individual-specific compensatory reserve or decompensation measures for future wearable sensor systems to effectively manage these hypovolemia problems. The paper then presents areas of future work to allow such technologies to translate from lab settings to use as decision aids for managing hypovolemia. We envision a future that incorporates elements of the compensatory reserve measure with advances in sensing technology and multiple modalities of cardiovascular sensing, additional contextual measures, and advanced noise reduction algorithms into a fully wearable system, creating a robust and physiologically sound approach to manage physical work, fatigue, safety and health issues associated with hypovolemia for workers, warfighters and athletes in austere conditions.

Informed Decision Making on the Uptake of Evidence-Based Smoking Cessation Assistance by Individuals Motivated to Quit Smoking

Evidence-based cessation assistance increases cessation rates. Activating preferences during decision making could improve effectiveness further. Decision aids (DAs) facilitate deciding by taking preferences into account. To develop effective DAs, potential end users' (i.e., individuals motivated to quit) needs and experts' viewpoints should be considered. Therefore, the aim of this needs assessment was: (1) To explore end users' needs and (2) to obtain consensus among smoking cessation counsellors and scientific experts to develop a self-administered DA to support end users in choosing cessation assistance. Data was gathered via two approaches: (1) twenty semi-structured interviews with potential end users and (2) two three-round Delphi studies with 61 counsellors and 44 scientific experts. Interview data and the first Delphi rounds were analysed qualitatively, the other Delphi rounds were analysed quantitatively. Potential end users acquired information in different ways, e.g., via own experiences. Important characteristics to decide between tools varied, however effectiveness and costs were commonly reported. Experts reached consensus on 38 and 40 statements, e.g., tools should be appropriate for users' addiction level. Although some trends emerged, due to the variation among stakeholders, a 'one size fits all'-approach is undesirable. This heterogeneity should be considered, e.g., by enabling users to customise the DA.

Facilitators and Barriers to Implementing a Digital Informed Decision Making Tool in Primary Care: A Qualitative Study

Background Informed decision aids provide information in the context of the patient's values and improve informed decision making (IDM). To overcome barriers that interfere with IDM, our team developed an innovative iPad-based application (aka “app”) to help patients make informed decisions about colorectal cancer screening. The app assesses patients' eligibility for screening, educates them about their options, and empowers them to request a test via the interactive decision aid. Objective The aim of the study is to explore how informed decision aids can be implemented successfully in primary care clinics, including the facilitators and barriers to implementation; strategies for minimizing barriers; adequacy of draft training materials; and any additional support or training desired by clinics. Design This work deals with a multicenter qualitative study in rural and urban settings. Participants A total of 48 individuals participated including primary care practice managers, clinicians, nurses, and front desk staff. Approach Focus groups and semi-structured interviews, with data analysis were guided by thematic analysis. Key Results Salient emergent themes were time, workflow, patient age, literacy, and electronic health record (EHR) integration. Saving time was important to most participants. Patient flow was a concern for all clinic staff, and they expressed that any slowdown due to patients using the iPad module or perceived additional work to clinic staff would make staff less motivated to use the program. Participants voiced concern about older patients being unwilling or unable to utilize the iPad and patients with low literacy ability being able to read or comprehend the information. Conclusion Integrating new IDM apps into the current clinic workflow with minimal disruptions would increase the probability of long-term adoption and ultimate sustainability. NIH trial registry number R01CA218416-A1.

Investigating Medical Student's Preferences for Internet-Based Healthcare Services: A Best-Worst Scaling Survey

Objective: This study aimed to investigate the importance of providing Internet-based healthcare services based on the preference of a sample of medical students in China.Methods: An online best-worst scaling (BWS) survey with Case 1 design was conducted. Balanced independent block design generated 12 choice task profiles for each participant to answer. Descriptive analysis was used to describe the respondents' characteristics; Multinomial and mixed logit regression methods were used to investigate the importance of Internet-based services based on respondents' preferences.Results: A total of 1,296 students completed the online survey and rated “Clinical Service,” “Decision Aids,” and “Public health” as the three most important services that should be provided through an Internet-based healthcare system. Providing “Medical Education” via the Internet was chosen as the least important service by the respondents. Subgroup analysis indicated that students studying clinical medicine and non-clinical medicine considered providing “Medical Education” and “Public Health,” respectively, as more important services than others.Conclusions: This BWS study demonstrated that providing “Clinical Service,” “Decision Aids,” and “Public Health” through the Internet are the three most important services based on medical students' preferences in China. Further research is needed to investigate how to improve medical students' skills in using internet-based healthcare services in medical education programs.

Effectiveness of decision aids on cancer-screening decision-making: an umbrella review protocol

IntroductionAlthough systematic reviews have shown how decision aids about cancer-related clinical decisions improve selection of key options and shared decision-making, whether or not particular decision aids, defined by their specific presentation formats, delivery methods and other attributes, can perform better than others in the context of cancer-screening decisions is uncertain. Therefore, we planned an overview to address this issue by using standard umbrella review methods to repurpose existing systematic reviews and their component comparative studies.Methods and analysisWe will search PubMed, Embase, the Cochrane Database of Systematic Reviews and the Database of Abstracts of Reviews of Effects from inception through 31 December 2021 with no language restriction and perform full-text evaluation of potentially relevant articles. We will include systematic reviews of randomised controlled trials or non-randomised studies of interventions that assessed a decision aid about cancer-screening decisions and compared it with an alternative tool or conventional management in healthy average-risk adults. Two reviewers will extract data and rate the study validity according to standard quality assessment measures. Our primary outcome will be intended and actual choice and adherence to selected options. The secondary outcomes will include attributes of the option-selection process, achieving shared decision-making and preference-linked psychosocial outcomes. We will qualitatively assess study, patient and intervention characteristics and outcomes. We will also take special care to investigate the presentation format, delivery methods and quality of the included decision aids and assess the degree to which the decision aid was delivered and used as intended. If appropriate, we will perform random-effects model meta-analyses to quantitatively synthesise the results.Ethics and disseminationEthics approval is not applicable as this is a secondary analysis of publicly available data. The review results will be submitted for publication in a peer-reviewed journal.Prospero registration numberCRD42021235957.

Study protocol for a randomised clinical trial of a decision aid and values clarification method for parents of a fetus or neonate diagnosed with a life-threatening congenital heart defect

IntroductionParents who receive the diagnosis of a life-threatening, complex heart defect in their fetus or neonate face a difficult choice between pursuing termination (for fetal diagnoses), palliative care or complex surgical interventions. Shared decision making (SDM) is recommended in clinical contexts where there is clinical equipoise. SDM can be facilitated by decision aids. The International Patient Decision Aids Standards collaboration recommends the inclusion of values clarification methods (VCMs), yet little evidence exists concerning the incremental impact of VCMs on patient or surrogate decision making. This protocol describes a randomised clinical trial to evaluate the effect of a decision aid (with and without a VCM) on parental mental health and decision making within a clinical encounter.Methods and analysisParents who have a fetus or neonate diagnosed with one of six complex congenital heart defects at a single tertiary centre will be recruited. Data collection for the prospective observational control group was conducted September 2018 to December 2020 (N=35) and data collection for two intervention groups is ongoing (began October 2020). At least 100 participants will be randomised 1:1 to two intervention groups (decision aid only vs decision aid with VCM). For the intervention groups, data will be collected at four time points: (1) at diagnosis, (2) postreceipt of decision aid, (3) postdecision and (4) 3 months postdecision. Data collection for the control group was the same, except they did not receive a survey at time 2. Linear mixed effects models will assess differences between study arms in distress (primary outcome), grief and decision quality (secondary outcomes) at 3-month post-treatment decision.Ethics and disseminationThis study was approved by the University of Utah Institutional Review Board. Study findings have and will continue to be presented at national conferences and within scientific research journals.Trial registration numberNCT04437069 (Pre-results).