A walking intervention for postmenopausal women using mobile phones and Interactive Voice Response

Potential effects of virtual interventions for menopause management: a systematic review

IMPORTANCE

Menopausal women are one of the fastest growing demographic groups globally. Virtual interventions have emerged as alternate avenues for menopausal women to manage and cope with their symptoms.

OBJECTIVE

The purpose of this review is to summarize existing research on the potential effects of virtual interventions for menopause management.

EVIDENCE REVIEW

This systematic review was written in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. MEDLINE, PsychINFO, CINAHL, AgeLine, ERIC, ProQuest, Nursing and Allied Health Database, PsychARTICLES, and Sociology Database were used for literature search and searched from conception to December 2021. Original studies, including randomized controlled trials and quasi-experimental studies, were included if they evaluated a virtual intervention for menopause management and investigated the effects of these interventions on physical and psychosocial outcomes and/or the feasibility of these interventions among menopausal women. Included studies were published in peer-reviewed journals and assessed for quality using the Critical Appraisal Skills Program Checklists.

FINDINGS

A total of 16 articles were included in this review. Virtual interventions have the potential to improve physical health outcomes including body weight/body mass index/waist circumference, pain, blood pressure, and cholesterol. However, conflicting results were identified for the outcomes of vasomotor and endocrine symptoms, sleep, and sexual functioning. Virtual interventions might also improve psychosocial outcomes, including knowledge and patient-physician communication, although conflicting results were again identified for treatment decision-making ability, quality of life, and anxiety and depression. Virtual interventions were feasible in terms of being usable and cost-effective, and eliciting satisfaction and compliance among menopausal women.

CONCLUSIONS AND RELEVANCE

Virtual interventions might have the potential to improve the physical and psychosocial health outcomes of menopausal women, although some conflicting findings arose. Future studies should focus on including diverse menopausal women and ethnic minorities, conducting research within low- to middle-income countries and communities, further exploring intervention design to incorporate features that are age and culture sensitive, and conducting full randomized controlled trials to evaluate the effects of the interventions.

Design and Rationale for the Deep South Interactive Voice Response System-Supported Active Lifestyle Study: Protocol for a Randomized Controlled Trial

BACKGROUND

The rates of physical inactivity and related cancer incidence and mortality are disproportionately high in the Deep South region in the United States, a rural, medically underserved region with a large African American population compared with the rest of the nation. Given this region's lower rates of literacy and internet access, interactive voice response (IVR) system-automated telephone-based interventions have the potential to help overcome physical activity intervention barriers (literacy, internet access, costs, and transportation) but have yet to be extended to rural, underserved populations, such as in the Deep South. Thus, extensive formative research is being conducted to develop and beta test the Deep South IVR System-Supported Active Lifestyle intervention in preparation for dissemination in rural Alabama counties.

OBJECTIVE

This paper aims to describe the design and rationale of an ongoing efficacy trial of the Deep South IVR System-Supported Active Lifestyle intervention.

METHODS

A two-arm randomized controlled trial will be conducted to compare a 12-month physical activity intervention versus a wait-list control condition in 240 underactive adults from 6 rural Alabama counties. The Deep South IVR System-Supported Active Lifestyle intervention is based on the Social Cognitive Theory and includes IVR-automated physical activity-related phone counseling (daily in months 0-3, twice weekly in months 4-6, and weekly in months 7-12) and support from local rural county coordinators with the University of Alabama O'Neal Comprehensive Cancer Center Community Outreach and Engagement Office. The primary outcome is weekly minutes of moderate- to vigorous-intensity physical activity (7-day physical activity recall; accelerometry) at baseline, 6 months, 12 months, and 18 months. Rural Active Living Assessments will be conducted in each rural county to assess walkability, assess recreational amenities, and inform future environment and policy efforts.

RESULTS

This study was funded in March 2019 and approved by the institutional review board of the University of Alabama at Birmingham in April 2019. As of February 2020, start-up activities (hiring and training staff and purchasing supplies) were completed. Study recruitment and assessments began in September 2020 and are ongoing. As of February 2021, a total of 43 participants have been enrolled in Dallas County, 42 in Sumter County, and 51 in Greene County.

CONCLUSIONS

IVR-supported phone counseling has great potential for addressing physical activity barriers (eg, culture, literacy, cost, or transportation) and reducing related rural health disparities in this region.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03903874; https://clinicaltrials.gov/ct2/show/NCT03903874.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/29245.

Assessment of Psychological Distress in Adults With Type 2 Diabetes Mellitus Through Technologies: Literature Review

Background

The use of technological devices can support the self-management of individuals with type 2 diabetes mellitus (T2DM), particularly in addressing psychological distress. However, there is poor consistency in the literature regarding the use of psychological instruments for the web-based screening of patients’ psychological distress and subsequent monitoring of their psychological condition during digital interventions.

Objective

This study aims to review previous literature on the types of psychological instruments delivered in digital interventions for assessing depression, anxiety, and stress in patients with T2DM.

Methods

The literature review was conducted using the PsycINFO, CINAHL and PubMed databases, in which the following terms were considered: diabetes mellitus, measure, assessment, self-care, self-management, depression, anxiety, stress, technology, eHealth, mobile health, mobile phone, device, and smartphone.

Results

In most studies, psychological assessments were administered on paper. A few studies deployed self-reporting techniques employing automated telephonic assessment, a call system for screening and monitoring patients’ conditions and preferences, or through telephone interviews via interactive voice response calls, a self-management support program leveraging tailored messages and structured emails. Other studies used simple telephone interviews and included the use of apps for tablets and smartphones to assess the psychological well-being of patients. Finally, some studies deployed mood rating scales delivered through tailored text message–based support systems.

Conclusions

The deployment of appropriate psychological tools in digital interventions allows researchers and clinicians to make the screening of anxiety, stress, and depression symptoms faster and easier in patients with T2DM. Data from this literature review suggest that mobile health solutions may be preferred tools to use in such digital interventions.

Digital exercise interventions for improving measures of central obesity: a systematic review

OBJECTIVES

We aimed to systematically review the potential benefits of digital exercise interventions for improving measures of central obesity including visceral adipose tissue (VAT) and anthropometric surrogates for VAT in overweight or centrally obese adults aged 18 or over.

METHODS

A systematic literature search was conducted in three databases up until March 2020 (PROSPERO registration nr CRD42019126764).

RESULTS

N = 5 studies including 438 participants (age 48-80) with body mass index ≥ 25 kg/m² met the eligibility criteria and were included. The duration of the interventions ranged from 8 to 24 weeks. No study measured the primary outcome VAT, although in N = 4 studies, waist circumference (WC) decreased by between 1.3 and 5.6 cm in the intervention groups.

CONCLUSIONS

This systematic review shows that there is no evidence for the effects of digital exercise on VAT, although digital exercise may decrease WC. These findings highlight the need for additional randomized controlled trials to confirm the findings with respect to WC, and to further investigate the effects of digital exercise on VAT. Together, this may have important implications for reducing the burden of physical inactivity and obesity.

Effectiveness of text messages for decreasing inactive behaviour in patients with knee osteoarthritis: a pilot randomised controlled study

Background

One of the big contributors to physical inactivity in the elderly population is osteoarthritis (OA) of the knee. Digital motivation seems to have a positive effect on individual physical inactivity level, but limited evidence exists on the effects of digital motivation on patients with knee OA.

Objective

To investigate if motivational text messages reduce time spent physically inactive in patients with knee OA.

Method

This study was designed as an unblinded pilot randomised controlled trial, randomising participants equally (1:1) to an intervention group (motivational text messages) or control group (no intervention). Participants were recruited from six physical therapy clinics in Denmark. Inclusion criteria were age ≥ 18, diagnosed with knee OA, owner of a smartphone or tablet, and participating or commencing participation in the GLA:D® program. The primary outcome was time spent physically inactive, measured with a tri-axial accelerometer mounted on the lateral side of the thigh. Data on OA symptoms were obtained using the Knee injury and Osteoarthritis Outcome Score (KOOS) questionnaire.

Results

A total of 49 participants were screened, and 38 participants were included and randomised to either the intervention group (n = 19) or the control group (n = 19). No statistically significant difference between the two groups was found in average change of time spent physically inactive (mean difference 13.2 min/day [95% CI − 41.0 to 67.3]; P = 0.63), time spent standing (mean difference 3.0 min/day [95% CI − 22.7 to 28.7]; P = 0.81), or time spent moving (mean difference − 20.4 min/day [95% CI − 63.0 to 22.3]; P = 0.34) nor was there any difference in change between the two groups on KOOS.

Conclusion

Motivational text messages have seemed to have no effect on overall time spent physically inactive.

Trial registration

clinicaltrials.gov, NCT03339011. Registered 9 November 2017

Electronic supplementary material

The online version of this article (10.1186/s40814-019-0494-6) contains supplementary material, which is available to authorized users.

Perceptions on using interactive voice response surveys for non-communicable disease risk factors in Uganda: a qualitative exploration

BACKGROUND

Decision-makers need up to date information on risk factors for effective prevention and control of non-communicable diseases (NCDs). Currently available surveys are infrequent and costly to implement. The objective of the study was to explore perceptions on using an interactive voice response (IVR) survey for data collection on NCD risk factors.

METHODS

Five focus group discussions (FGDs), including rural and urban, elderly and young adults, male and female groups; and eleven key informant interviews (KIIs) of researchers and NCD policy makers were conducted. Respondents were audio recorded and data were transcribed into text. Data were entered into QDA miner software for analysis. Meaningful units were generated and then merged into codes and categories. Quotes are presented highlighting findings.

RESULTS

At the individual level, age, gender, disability, past experience and being technology literate were perceived as key determinants on whether respondents would accept an IVR survey. Receiving the IVR at a time at which people are usually available to take calls increases participation. However, technological accessibility like presence of a mobile network signal and possession of mobile phones were critical for use of IVR. Participants recommended that community sensitization activities be provided, IVR be conducted at appropriate times and frequency, and that incentives may improve survey participation.

CONCLUSIONS

IVR has the potential to quickly collect data from a wide geographic scope. However, caution needs to be taken to ensure that certain categories of people are not excluded because of their location, ability, age or gender. Sensitization prior to the survey, proper timing and structured incentives could increase participation.

Comparison of intent-to-treat analysis strategies for pre-post studies with loss to follow-up

In pre-post studies when all outcomes are completely observed, previous studies have shown that analysis of covariance (ANCOVA) is more powerful than a change-score analysis in testing the treatment effect. However, there have been few studies comparing power under missing post-test values. This paper was motivated by the Behavior and Exercise for Physical Health Intervention (BePHIT) Study, a pre-post study designed to compare two interventions on postmenopausal women's walk time. The goal of this study was to compare the power of two methods which adhere to the intent-to-treat (ITT) principle when post-test data are missing: ANCOVA after multiple imputation (MI) and the mixed model applied to all-available data (AA). We also compared the two ITT analysis strategies to two methods which do not adhere to ITT principles: complete-case (CC) ANCOVA and the CC mixed model. Comparisons were made through analyses of the BePHIT data and simulation studies conducted under various sample sizes, missingness rates, and missingness scenarios. In the analysis of the BePHIT data, ANCOVA after MI had the smallest p-value for the test of the treatment effect of the four methods. Simulation results demonstrated that the AA mixed model was usually more powerful than ANCOVA after MI. The power of ANCOVA after MI dropped the fastest as the missingness rate increased; in most simulated scenarios, ANCOVA after MI had the smallest power when 50% of the post-test outcomes were missing.

Physical Activity and Related Psychosocial Outcomes From a Pilot Randomized Trial of an Interactive Voice Response System-Supported Intervention in the Deep South

BACKGROUND

Physical activity exerts cancer-protective effects, yet most Americans are inactive, especially in the South, where cancer incidence rates are generally higher. Telephone-based approaches can help overcome physical activity intervention barriers in this region (literacy, costs, lack of transportation/technology, distance from facilities) and can be automated via interactive voice response (IVR) systems for improved reach and cost-effectiveness.

AIMS

To evaluate the Deep South IVR-supported Active Lifestyle (DIAL) intervention.

METHOD

A pilot randomized controlled trial was conducted among 63 underactive adults in Birmingham, Alabama, from 2015 to 2017.

RESULTS

Retention was 88.9% at 12 weeks, and ≥75% adherence (IVR contact on at least 63 out of 84 days) was noted among 62.5% of intervention participants. Intervention participants reported larger increases in self-reported minutes of moderate-to-vigorous intensity physical activity from baseline to 12 weeks than the wait-list control arm (median change = 47.5 vs. 5.0 minutes, respectively, p = .09). Moreover, the intervention produced significantly greater increases in physical activity self-regulation ( p < .001) and social support from family ( p = .001) and friends ( p = .009) from baseline to 12 weeks, compared with the wait-list control. Significant decreases in self-reported sleep disturbance also were found in the intervention arm but not among the controls, p < .05. Overall, intervention participants reported being satisfied with the DIAL program (71.4%) and would recommend it to friends (92.9%).

DISCUSSION

Findings support the feasibility, acceptability, and preliminary efficacy of the DIAL intervention.

CONCLUSION

Next steps include intervention refinement in preparation for a fully powered efficacy trial and eventual dissemination to rural counties.

Rationale, design, and baseline findings from a pilot randomized trial of an IVR-Supported physical activity intervention for cancer prevention in the Deep South: the DIAL study

Telephone-delivered interventions do not require frequent clinic visits, literacy, or costly technology and thus may represent promising approaches to promoting physical activity in the Deep South, a largely rural U.S. region, with generally lower physical activity, income, and education levels. Building on past Interactive Voice Response (IVR) system-based HIV studies and extensive formative research (11 focus groups on physical activity intervention needs/preferences in the Deep South), the resulting IVR-supported physical activity intervention is now being tested in a randomized controlled trial with a waitlist control. The sample (n=63) includes mostly obese (Mean BMI=30.1) adults (Mean age=43 years) in Birmingham, AL. Both genders (55.6% male) and African Americans (58.7%) are well-represented. Most participants reported at least some college (92%), full time employment (63.5%), and household income <$50,000 per year (61.9%). Baseline physical activity (Mean=39.6 minutes/week, SD=56.4), self-efficacy, self-regulation, and social support were low. However, high physical activity enjoyment and outcome expectations bode well. Self-report physical activity was associated with physical activity enjoyment (r=.36) and social support (friends r=.25, p's<.05) at baseline. Consequently, these may be important variables to emphasize in our program. Depression and anxiety were negatively correlated with some early indicators of behavior change (e.g., physical activity self-regulation; r's =-.43 and -.46, respectively, p's<.01) and thus may require additional attention. Such technology-supported strategies have great potential to reach underserved populations and address physical activity-related health disparities in this region.

mHealth Application Areas and Technology Combinations*. A Comparison of Literature from High and Low/Middle Income Countries

BACKGROUND

With the continuous and enormous spread of mobile technologies, mHealth has evolved as a new subfield of eHealth. While eHealth is broadly focused on information and communication technologies, mHealth seeks to explore more into mobile devices and wireless communication. Since mobile phone penetration has exceeded other infrastructure in low and middle-income countries (LMICs), mHealth is seen as a promising component to provide pervasive and patient-centered care.

OBJECTIVES

The aim of our research work for this paper is to examine the mHealth literature to identify application areas, target diseases, and mHealth service and technology types that are most appropriate for LMICs.

METHODS

Based on the 2011 WHO mHealth report, a combination of search terms, all including the word "mHealth", was identified. A literature review was conducted by searching the PubMed and IEEE Xplore databases. Articles were included if they were published in English, covered an mHealth solution/ intervention, involved the use of a mobile communication device, and included a pilot evaluation study. Articles were excluded if they did not provide sufficient detail on the solution covered or did not focus on clinical efficacy/effectiveness. Cross-referencing was also performed on included articles.

RESULTS

842 articles were retrieved and analyzed, 255 of which met the inclusion criteria. North America had the highest number of applications (n=74) followed by Europe (n=50), Asia (n=44), Africa (n=25), and Australia (n=9). The Middle East (n=5) and South America (n=3) had the least number of studies. The majority of solutions addressed diabetes (n=51), obesity (n=25), CVDs (n=24), HIV (n=18), mental health (n=16), health behaviors (n=16), and maternal and child's health (MCH) (n=11). Fewer solutions addressed asthma (n=7), cancer (n=5), family health planning (n=5), TB (n=3), malaria (n=2), chronic obtrusive pulmonary disease (COPD) (n=2), vision care (n=2), and dermatology (n=2). Other solutions targeted stroke, dental health, hepatitis vaccination, cold and flu, ED prescribed antibiotics, iodine deficiency, and liver transplantation (n=1 each). The remainder of solutions (n=14) did not focus on a certain disease. Most applications fell in the areas of health monitoring and surveillance (n=93) and health promotion and raising awareness (n=88). Fewer solutions addressed the areas of communication and reporting (n=11), data collection (n=6), telemedicine (n=5), emergency medical care (n=3), point of care support (n=2), and decision support (n=2). The majority of solutions used SMS messaging (n=94) or mobile apps (n=71). Fewer used IVR/phone calls (n=8), mobile website/email (n=5), videoconferencing (n=2), MMS (n=2), or video (n=1) or voice messages (n=1). Studies were mostly RCTs, with the majority suffering from small sample sizes and short study durations. Problems addressed by solutions included travel distance for reporting, self-management and disease monitoring, and treatment/medication adherence.

CONCLUSIONS

SMS and app solutions are the most common forms of mHealth applications. SMS solutions are prevalent in both high and LMICs while app solutions are mostly used in high income countries. Common application areas include health promotion and raising awareness using SMS and health monitoring and surveillance using mobile apps. Remaining application areas are rarely addressed. Diabetes is the most commonly targeted medical condition, yet remains deficient in LMICs.

Reducing non-injection drug use in HIV primary care: A randomized trial of brief motivational interviewing, with and without HealthCall, a technology-based enhancement

AIMS

In HIV-infected individuals, non-injection drug use (NIDU) compromises many health outcomes. In HIV primary care, the efficacy of brief motivational interviewing (MI) to reduce NIDU is unknown, and drug users may need greater intervention. We designed an enhancement to MI, HealthCall (HC), for daily patient self-monitoring calls to an interactive voice response (IVR) phone system, and provided participants with periodic personalized feedback. To reduce NIDU among HIV primary care patients, we compared the efficacy of MI+HealthCall to MI-only and an educational control condition.

DESIGN

Participants age >18 with >4days of NIDU during the prior 30days were recruited from large urban HIV primary care clinics. Of the 240 participants, 83 were randomly assigned to control, 77 to MI-only, and 80 to MI+HC. Counselors provided educational control, MI-only or MI+HC at baseline. At 30 and 60days (end-of-treatment), counselors briefly discussed drug use, moods and health behaviors, using HealthCall-generated graphs with MI+HC patients. Primary outcomes (last 30days) were number of days used primary drug (NumDU), and total quantity of primary drug used (dollar amount spent; QuantU), derived from the Time-Line Follow-Back.

FINDINGS

Across all groups, at end-of-treatment, frequency and quantity of NIDU decreased, with significantly greater reductions in the MI-Only group. A twelve-month post-treatment follow-up indicated sustained benefits of MI+HC and MI-only relative to control.

CONCLUSIONS

Brief interventions can be successfully used to reduce non-injection drug use in HIV primary care. IVR-based technology may not be sufficiently engaging to be effective. Future studies should investigate mobile technology to deliver a more engaging version of HealthCall to diverse substance abusing populations.

Automated telephone communication systems for preventive healthcare and management of long-term conditions

BACKGROUND

Automated telephone communication systems (ATCS) can deliver voice messages and collect health-related information from patients using either their telephone's touch-tone keypad or voice recognition software. ATCS can supplement or replace telephone contact between health professionals and patients. There are four different types of ATCS: unidirectional (one-way, non-interactive voice communication), interactive voice response (IVR) systems, ATCS with additional functions such as access to an expert to request advice (ATCS Plus) and multimodal ATCS, where the calls are delivered as part of a multicomponent intervention.

OBJECTIVES

To assess the effects of ATCS for preventing disease and managing long-term conditions on behavioural change, clinical, process, cognitive, patient-centred and adverse outcomes.

SEARCH METHODS

We searched 10 electronic databases (the Cochrane Central Register of Controlled Trials; MEDLINE; Embase; PsycINFO; CINAHL; Global Health; WHOLIS; LILACS; Web of Science; and ASSIA); three grey literature sources (Dissertation Abstracts, Index to Theses, Australasian Digital Theses); and two trial registries (www.controlled-trials.com; www.clinicaltrials.gov) for papers published between 1980 and June 2015.

SELECTION CRITERIA

Randomised, cluster- and quasi-randomised trials, interrupted time series and controlled before-and-after studies comparing ATCS interventions, with any control or another ATCS type were eligible for inclusion. Studies in all settings, for all consumers/carers, in any preventive healthcare or long term condition management role were eligible.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods to select and extract data and to appraise eligible studies.

MAIN RESULTS

We included 132 trials (N = 4,669,689). Studies spanned across several clinical areas, assessing many comparisons based on evaluation of different ATCS types and variable comparison groups. Forty-one studies evaluated ATCS for delivering preventive healthcare, 84 for managing long-term conditions, and seven studies for appointment reminders. We downgraded our certainty in the evidence primarily because of the risk of bias for many outcomes. We judged the risk of bias arising from allocation processes to be low for just over half the studies and unclear for the remainder. We considered most studies to be at unclear risk of performance or detection bias due to blinding, while only 16% of studies were at low risk. We generally judged the risk of bias due to missing data and selective outcome reporting to be unclear.For preventive healthcare, ATCS (ATCS Plus, IVR, unidirectional) probably increase immunisation uptake in children (risk ratio (RR) 1.25, 95% confidence interval (CI) 1.18 to 1.32; 5 studies, N = 10,454; moderate certainty) and to a lesser extent in adolescents (RR 1.06, 95% CI 1.02 to 1.11; 2 studies, N = 5725; moderate certainty). The effects of ATCS in adults are unclear (RR 2.18, 95% CI 0.53 to 9.02; 2 studies, N = 1743; very low certainty).For screening, multimodal ATCS increase uptake of screening for breast cancer (RR 2.17, 95% CI 1.55 to 3.04; 2 studies, N = 462; high certainty) and colorectal cancer (CRC) (RR 2.19, 95% CI 1.88 to 2.55; 3 studies, N = 1013; high certainty) versus usual care. It may also increase osteoporosis screening. ATCS Plus interventions probably slightly increase cervical cancer screening (moderate certainty), but effects on osteoporosis screening are uncertain. IVR systems probably increase CRC screening at 6 months (RR 1.36, 95% CI 1.25 to 1.48; 2 studies, N = 16,915; moderate certainty) but not at 9 to 12 months, with probably little or no effect of IVR (RR 1.05, 95% CI 0.99, 1.11; 2 studies, 2599 participants; moderate certainty) or unidirectional ATCS on breast cancer screening.Appointment reminders delivered through IVR or unidirectional ATCS may improve attendance rates compared with no calls (low certainty). For long-term management, medication or laboratory test adherence provided the most general evidence across conditions (25 studies, data not combined). Multimodal ATCS versus usual care showed conflicting effects (positive and uncertain) on medication adherence. ATCS Plus probably slightly (versus control; moderate certainty) or probably (versus usual care; moderate certainty) improves medication adherence but may have little effect on adherence to tests (versus control). IVR probably slightly improves medication adherence versus control (moderate certainty). Compared with usual care, IVR probably improves test adherence and slightly increases medication adherence up to six months but has little or no effect at longer time points (moderate certainty). Unidirectional ATCS, compared with control, may have little effect or slightly improve medication adherence (low certainty). The evidence suggested little or no consistent effect of any ATCS type on clinical outcomes (blood pressure control, blood lipids, asthma control, therapeutic coverage) related to adherence, but only a small number of studies contributed clinical outcome data.The above results focus on areas with the most general findings across conditions. In condition-specific areas, the effects of ATCS varied, including by the type of ATCS intervention in use.Multimodal ATCS probably decrease both cancer pain and chronic pain as well as depression (moderate certainty), but other ATCS types were less effective. Depending on the type of intervention, ATCS may have small effects on outcomes for physical activity, weight management, alcohol consumption, and diabetes mellitus. ATCS have little or no effect on outcomes related to heart failure, hypertension, mental health or smoking cessation, and there is insufficient evidence to determine their effects for preventing alcohol/substance misuse or managing illicit drug addiction, asthma, chronic obstructive pulmonary disease, HIV/AIDS, hypercholesterolaemia, obstructive sleep apnoea, spinal cord dysfunction or psychological stress in carers.Only four trials (3%) reported adverse events, and it was unclear whether these were related to the interventions.

AUTHORS' CONCLUSIONS

ATCS interventions can change patients' health behaviours, improve clinical outcomes and increase healthcare uptake with positive effects in several important areas including immunisation, screening, appointment attendance, and adherence to medications or tests. The decision to integrate ATCS interventions in routine healthcare delivery should reflect variations in the certainty of the evidence available and the size of effects across different conditions, together with the varied nature of ATCS interventions assessed. Future research should investigate both the content of ATCS interventions and the mode of delivery; users' experiences, particularly with regard to acceptability; and clarify which ATCS types are most effective and cost-effective.

Physical activity and obesity: what we know and what we need to know

Creating a negative energy balance by decreasing caloric consumption and increasing physical activity is a common strategy used to treat obesity. A large number of review and original research papers have considered the role of physical activity in weight loss and maintenance. However, their conclusions are at times conflicting. In this review, we have critically evaluated the findings of systematic reviews and meta-analyses and supplemented their conclusions with recently published, high-quality clinical trials. We have eliminated studies that were methodologically flawed in an attempt to reduce the ambiguity in the literature. We further sought, through selective review of these publications, to isolate the effects of various types of exercise, independent of dietary interventions, to further clarify their independent contributions. Thus, our review describes (i) combined calorie restriction with physical activity interventions, (ii) physical activity interventions without calorie restriction and (iii) the role of physical activity on maintenance of weight loss. Through this critical examination of the literature, we have provided conclusions to address certain ambiguities regarding the role of physical activity in obesity treatment that will inform clinical practice. We have also identified several long-standing gaps in knowledge that will inform future research.

Spatio-temporal determinants of mental health and well-being: advances in geographically-explicit ecological momentary assessment (GEMA)

PURPOSE

Overview of geographically explicit momentary assessment research, applied to the study of mental health and well-being, which allows for cross-validation, extension, and enrichment of research on place and health.

METHODS

Building on the historical foundations of both ecological momentary assessment and geographic momentary assessment research, this review explores their emerging synergy into a more generalized and powerful research framework.

RESULTS

Geographically explicit momentary assessment methods are rapidly advancing across a number of complimentary literatures that intersect but have not yet converged. Key contributions from these areas reveal tremendous potential for transdisciplinary and translational science.

CONCLUSIONS

Mobile communication devices are revolutionizing research on mental health and well-being by physically linking momentary experience sampling to objective measures of socio-ecological context in time and place. Methodological standards are not well-established and will be required for transdisciplinary collaboration and scientific inference moving forward.

A pilot study combining Go4Life® materials with an interactive voice response system to promote physical activity in older women

Telephone-based interactive voice response (IVR) systems could be an effective tool for promotion of physical activity among older women. To test IVR feasibility, we enrolled 30 older women in a 10-week physical activity intervention designed around National Institute on Aging (NIA) Go4Life® educational materials with IVR coaching. Participants (mean age = 76 years) significantly increased physical activity by a mean 79 ± 116 (SD) minutes/week (p < .001). Participants reported that the Go4Life® materials, pedometer, and IVR coaching (70% reported easy technology) were useful tools for change. This pilot study demonstrates IVR acceptability as an evidence-based physical activity program for older women.

Interventions to promote or maintain physical activity during and after the transition to retirement: an evidence synthesis

Background

It has been argued that transition points in life, such as the approach towards and early years of retirement, present key opportunities for interventions to improve the health of the population. Interventions that may change or preserve activity levels around the time of retirement have the potential to provide benefits in terms of increased health and well-being for people in later life. Research has highlighted health inequalities in health statuses in the retired population and in response to interventions.

Objective

We aimed to conduct a systematic review and meta-synthesis of the types and effectiveness of interventions to increase physical activity among people around the time of retirement. We also aimed to identify factors that may underpin the effectiveness or acceptability of interventions, and how issues of health inequalities may be addressed.

Data sources

The following electronic databases were searched: (1) MEDLINE; (2) Applied Social Sciences Index and Abstracts; (3) The Cochrane Library (including The Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, Database of Abstracts of Reviews of Effects, Health Technology Assessment Database); (4) Cumulative Index to Nursing and Allied Health Literature; (5) Science Citation Index; (6) Social Science Citation Index; (7) PsycINFO; (8) Evidence for Policy and Practice Information and Co-ordinating Centre; (9) SPORTDiscus; (10) Social Policy and Practice; (11) Health Management Information Consortium; and (12) Sociological Abstracts. We also searched for grey literature, checked reference lists of included papers and screened other reviews.

Review methods

A systematic review of quantitative and qualitative literature was carried out between February 2014 and April 2015. The searches aimed to identify, first, evidence of effectiveness of interventions for older adults at the point of transition to retirement and, second, data relating to perceptions of barriers and facilitators to intervention effectiveness. A meta-synthesis of the two types of evidence was also carried out to provide further interpretation of the review findings.

Results

A systematic search of the literature identified a large number of potentially relevant studies. Of these, 103 studies examining the effectiveness of interventions and 55 qualitative papers met the criteria for inclusion. A review of the effectiveness literature indicated a dearth of studies that investigate interventions that specifically examine the transition to retirement. More general studies in older adults indicated that a range of interventions might be effective for people around retirement age. The qualitative literature indicated the importance of considering the appeal and enjoyment, and social aspects, of interventions. Although there were a range of different measures in use, many were self-reported and few studies included an evaluation of sedentary time. A meta-synthesis across the data types indicated that elements reported as significant by participants did not always feature in the interventions.

Limitations

Owing to the lack of evidence relating to the retirement transition, we examined the literature relating to older adults. The applicability of these data to people around retirement age may need consideration.

Conclusions

Although the retirement transition is considered a significant point of life change, only a small volume of literature has reported interventions specifically in this period. The included literature suggests that interventions should take account of views and preferences of the target population and evaluate effectiveness by measuring meaningful outcomes and using a control group design.

Study registration

This study is registered as PROSPERO CRD42014007446.

Funding

The National Institute for Health Research Public Health Research programme.

Promoting and maintaining physical activity in the transition to retirement: a systematic review of interventions for adults around retirement age

It has been argued that transition points in life, such as the approach towards, and early years of retirement present key opportunities for interventions to improve the health of the population. Research has also highlighted inequalities in health status in the retired population and in response to interventions which should be addressed. We aimed to conduct a systematic review to synthesise international evidence on the types and effectiveness of interventions to increase physical activity among people around the time of retirement. A systematic review of literature was carried out between February 2014 and April 2015. Searches were not limited by language or location, but were restricted by date to studies published from 1990 onwards. Methods for identification of relevant studies included electronic database searching, reference list checking, and citation searching. Systematic search of the literature identified 104 papers which described study populations as being older adults. However, we found only one paper which specifically referred to their participants as being around the time of retirement. The intervention approaches for older adults encompassed: training of health care professionals; counselling and advice giving; group sessions; individual training sessions; in-home exercise programmes; in-home computer-delivered programmes; in-home telephone support; in-home diet and exercise programmes; and community-wide initiatives. The majority of papers reported some intervention effect, with evidence of positive outcomes for all types of programmes. A wide range of different measures were used to evaluate effectiveness, many were self-reported and few studies included evaluation of sedentary time. While the retirement transition is considered a significant point of life change, little research has been conducted to assess whether physical activity interventions at this time may be effective in promoting or maintaining activity, or reducing health inequalities. We were unable to find any evidence that the transition to retirement period was, or was not a significant point for intervention. Studies in older adults more generally indicated that a range of interventions might be effective for people around retirement age.

Recruiting 9126 Primary Care Patients by Telephone: Characteristics of Participants Reached on Landlines, Basic Cell Phones, and Smartphones

In primary care, collecting information about patient health behaviors between appointments can be advantageous. Physicians and researchers who embrace phone-based technology may find valuable ways to monitor patient-reported outcome measures of health (PROM). However, the level of phone technology sophistication should be tailored to the phone use of the population of interest. Despite the growing use of telephones as a means to gather PROM, little is known about phone use among primary care patients. As part of an ongoing study, the authors recruited primary care patients (N = 9126) for a health behavior screening study by calling them on the primary contact number listed in their medical record. The current study evaluated the frequency with which individuals were reached on landlines, basic cell phones, and smartphones, and examined participant characteristics. The majority of participants (63%) used landlines as their primary contact. Of the 37% using cell phones on the recruitment call, most (71%) were using smartphones. Landline users were significantly older than cell phone users (61.4 vs. 46.2 years; P = .001). Cell phone use did not differ significantly between participants with a college education and those without (37% vs. 38%; P = .82); however, smartphone use did differ (61% vs. 77%; P = .01). The majority of participants sampled used landlines as their primary telephone contact. Researchers designing phone-based PROM studies for primary care may have the broadest intervention reach using interactive voice response telephone technology, as patients could report health outcomes from any type of phone, including landlines. (Population Health Management 2016;19:212-215).

Increasing physical activity through mobile device interventions: A systematic review

Physical inactivity is a health problem that affects people worldwide and has been identified as the fourth largest risk factor for overall mortality (contributing to 6% of deaths globally). Many researchers have tried to increase physical activity levels through traditional methods without much success. Thus, many researchers are turning to mobile technology as an emerging method for changing health behaviours. This systematic review sought to summarise and update the existing scientific literature on increasing physical activity through mobile device interventions, taking into account the methodological quality of the studies. The articles were identified by searching the PubMed, SCOPUS and SPORTDiscus databases for studies published between January 2003 and December 2013. Studies investigating efforts to increase physical activity through mobile phone or even personal digital assistant interventions were included. The search results allowed the inclusion of 11 studies that gave rise to 12 publications. Six of the articles included in this review reported significant increases in physical activity levels. The number of studies using mobile devices for interventions has increased exponentially in the last few years, but future investigations with better methodological quality are needed to draw stronger conclusions regarding how to increase physical activity through mobile device interventions.

How are previous physical activity and self-efficacy related to future physical activity and self-efficacy?

Self-efficacy (SE) has been found to be a robust predictor of success in achieving physical activity (PA) goals. While much of the current research has focused on SE as a trait, SE as a state has received less attention. Using day-to-day measurements obtained over 84 days, we examined the relationship between state SE and PA. Postmenopausal women (n = 71) participated in a 12-week PA intervention administered via cell phone and monitored their daily PA using a pedometer. At the end of each day, they reported their state SE and number of steps. Using a longitudinal model, state SE was found to be a robust predictor of PA even after accounting for trait SE and other covariates. The findings offer insights about the temporal relationship between SE and PA over the course of an intervention, which can be of interest to researchers and intervention designers.

Using targeted messaging to increase physical activity in older adults: a review

Physical activity has many benefits for older adults; however, motivating older adults to engage in and maintain optimal levels of physical activity can be challenging for health care providers. A comprehensive literature review was performed to determine whether any evidence-based methods of delivery or particular content for targeted messaging exist that result in actual improvements in physical activity of older adults. Findings of the review demonstrate that messaging directed toward older adults to be physically active resulted in improvements in physical activity up to 1 year. Across studies many different modes of message delivery were shown to be effective. Message content, whether tailored or not, resulted in significant increases in physical activity. There is evidence to support the use of environmentally mediated messaging (i.e., local walking paths) for stronger results. Targeting the client's stage of change, having an activity partner if preferred, and scheduling physical activity also contribute to improved effects.

Effects of a walking intervention using mobile technology and interactive voice response on serum adipokines among postmenopausal women at increased breast cancer risk

Practical methods to reduce the risk of obesity-related breast cancer among high-risk subgroups are lacking. Few studies have investigated the effects of exercise on circulating adipokines, which have been shown to be associated with obesity and breast cancer. The aim of this study was to examine the effects of a walking intervention on serum adiponectin, leptin, and the adiponectin-to-leptin ratio (A/L). Seventy-one overweight and obese postmenopausal women at increased risk of developing breast cancer were stratified by BMI (25-30 kg/m(2) or >30 kg/m(2)) and randomized to a 12-week, two-arm walking intervention administered through interactive voice response (IVR) and mobile devices. The intervention arms were IVR + coach and IVR + no-coach condition. Pre-post changes in serum adiponectin, leptin, and the A/L ratio were examined using mixed regression models, with ratio estimates (and 95 % confidence intervals [CI]) corresponding to postintervention adipokine concentrations relative to preintervention concentrations. While postintervention effects included statistically significant improvements in anthropometric measures, the observed decreases in adiponectin and leptin (ratio = 0.86, 95 % CI 0.74-1.01, and ratio = 0.94, 95 % CI 0.87-1.01, respectively) and increase in A/L ratio = 1.09, 95 % CI 0.94-1.26) were not significant. Thus, these findings do not support significant effects of the walking intervention on circulating adipokines among overweight and obese postmenopausal women. Additional studies are essential to determine the most effective and practical lifestyle interventions that can promote beneficial modification of serum adipokine concentrations, which may prove useful for obesity-related breast cancer prevention.

Current mHealth technologies for physical activity assessment and promotion

CONTEXT

Novel mobile assessment and intervention capabilities are changing the face of physical activity (PA) research. A comprehensive systematic review of how mobile technology has been used for measuring PA and promoting PA behavior change is needed.

EVIDENCE ACQUISITION

Article collection was conducted using six databases from February to June 2012 with search terms related to mobile technology and PA. Articles that described the use of mobile technologies for PA assessment, sedentary behavior assessment, and/or interventions for PA behavior change were included. Articles were screened for inclusion and study information was extracted.

EVIDENCE SYNTHESIS

Analyses were conducted from June to September 2012. Mobile phone-based journals and questionnaires, short message service (SMS) prompts, and on-body PA sensing systems were the mobile technologies most utilized. Results indicate that mobile journals and questionnaires are effective PA self-report measurement tools. Intervention studies that reported successful promotion of PA behavior change employed SMS communication, mobile journaling, or both SMS and mobile journaling.

CONCLUSIONS

mHealth technologies are increasingly being employed to assess and intervene on PA in clinical, epidemiologic, and intervention research. The wide variations in technologies used and outcomes measured limit comparability across studies, and hamper identification of the most promising technologies. Further, the pace of technologic advancement currently outstrips that of scientific inquiry. New adaptive, sequential research designs that take advantage of ongoing technology development are needed. At the same time, scientific norms must shift to accept "smart," adaptive, iterative, evidence-based assessment and intervention technologies that will, by nature, improve during implementation.

Reducing heavy drinking in HIV primary care: a randomized trial of brief intervention, with and without technological enhancement

AIMS

In HIV-infected individuals, heavy drinking compromises survival. In HIV primary care, the efficacy of brief motivational interviewing (MI) to reduce drinking is unknown, alcohol-dependent patients may need greater intervention and resources are limited. Using interactive voice response (IVR) technology, HealthCall was designed to enhance MI via daily patient self-monitoring calls to an automated telephone system with personalized feedback. We tested the efficacy of MI-only and MI+HealthCall for drinking reduction among HIV primary care patients.

DESIGN

Parallel random assignment to control (n = 88), MI-only (n = 82) or MI+HealthCall (n = 88). Counselors provided advice/education (control) or MI (MI-only or MI+HealthCall) at baseline. At 30 and 60 days (end-of-treatment), counselors briefly discussed drinking with patients, using HealthCall graphs with MI+HealthCall patients.

SETTING

Large urban HIV primary care clinic.

PARTICIPANTS

Patients consuming ≥4 drinks at least once in prior 30 days.

MEASUREMENTS

Using time-line follow-back, primary outcome was number of drinks per drinking day, last 30 days.

FINDINGS

End-of-treatment number of drinks per drinking day (NumDD) means were 4.75, 3.94 and 3.58 in control, MI-only and MI+HealthCall, respectively (overall model χ(2) , d.f. = 9.11,2, P = 0.01). For contrasts of NumDD, P = 0.01 for MI+HealthCall versus control; P = 0.07 for MI-only versus control; and P = 0.24 for MI+HealthCall versus MI-only. Secondary analysis indicated no intervention effects on NumDD among non-alcohol-dependent patients. However, for contrasts of NumDD among alcohol-dependent patients, P < 0.01 for MI+HealthCall versus control; P = 0.09 for MI-only versus control; and P = 0.03 for MI+HealthCall versus MI-only. By 12-month follow-up, although NumDD remained lower among alcohol-dependent patients in MI+HealthCall than others, effects were no longer significant.

CONCLUSIONS

For alcohol-dependent HIV patients, enhancing MI with HealthCall may offer additional benefit, without extensive additional staff involvement.

What are the most effective techniques in changing obese individuals' physical activity self-efficacy and behaviour: a systematic review and meta-analysis

Increasing self-efficacy is generally considered to be an important mediator of the effects of physical activity interventions. A previous review identified which behaviour change techniques (BCTs) were associated with increases in self-efficacy and physical activity for healthy non-obese adults. The aim of the current review was to identify which BCTs increase the self-efficacy and physical activity behaviour of obese adults. A systematic search identified 61 comparisons with obese adults reporting changes in self-efficacy towards engaging in physical activity following interventions. Of those comparisons, 42 also reported changes in physical activity behaviour. All intervention descriptions were coded using Michie et al's (2011) 40 item CALO-RE taxonomy of BCTs. Meta-analysis was conducted with moderator analyses to examine the association between whether or not each BCT was included in interventions, and size of changes in both self-efficacy and physical activity behaviour. Overall, a small effect of the interventions was found on self-efficacy (d = 0.23, 95% confidence interval (CI): 0.16-0.29, p < 0.001) and a medium sized effect on physical activity behaviour (d = 0.50, 95% CI 0.38-0.63, p < 0.001). Four BCTs were significantly associated with positive changes in self-efficacy; 'action planning', 'time management', 'prompt self-monitoring of behavioural outcome' and 'plan social support/social change'. These latter two BCTs were also associated with positive changes in physical activity. An additional 19 BCTs were associated with positive changes in physical activity. The largest effects for physical activity were found where interventions contained 'teach to use prompts/cues', 'prompt practice' or 'prompt rewards contingent on effort or progress towards behaviour'. Overall, a non-significant relationship was found between change in self-efficacy and change in physical activity (Spearman's Rho = -0.18 p = 0.72). In summary, the majority of techniques increased physical activity behaviour, without having discernible effects on self-efficacy. Only two BCTs were associated with positive changes in both physical activity self-efficacy and behaviour. This is in contrast to the earlier review which found a strong relationship between changes in physical activity self-efficacy and behaviour. Mechanisms other than self-efficacy may be more important for increasing the physical activity of obese individuals compared with non-obese individuals.

Exercise training and habitual physical activity: a randomized controlled trial

BACKGROUND

Exercise training reduces adiposity and risk of cardiovascular disease. However, the combined effects of habitual free-living physical activity and aerobic training on waist circumference, weight, fitness, and blood pressure in postmenopausal women are unknown.

PURPOSE

To evaluate the effects of habitual physical activity levels during aerobic training on weight, waist circumference, fitness, and blood pressure.

DESIGN

Secondary analysis of an RCT. Original data collected April 2001 to June 2005 and analyzed in 2012.

SETTING/PARTICIPANTS

Postmenopausal women in a supervised exercise trial.

INTERVENTION

Women (n=325) were randomized to 4, 8, or 12 kcal/kg per week of aerobic training or a control group for 6 months. All outcome measures were collected at baseline and follow-up. Changes in dependent variables within each training group were evaluated across tertiles of pedometer-determined habitual physical activity outside exercise training sessions.

MAIN OUTCOME MEASURES

Changes in waist circumference and weight.

RESULTS

Reductions in waist circumference were significantly greater with higher steps/day accumulated outside exercise training compared to lower levels in the 4 (high: -4.8 cm vs low: -1.4 cm, p=0.03); 8 (high: -4.2 cm vs low: -0.4 cm, p=0.03), and 12 kcal/kg per week groups (high: -4.1 cm vs low: -0.7 cm, p=0.05). For all groups, p-trend≤0.03. A trend was observed for greater weight reduction with higher steps/day in the 4 kcal/kg per week group (p-trend=0.04) but not for the other exercise doses. No effects were observed for blood pressure or fitness measures (all p>0.05).

CONCLUSIONS

In postmenopausal women, higher habitual physical activity while participating in aerobic training was associated with greater reductions in central adiposity, and was supportive of weight loss compared to lower levels.