Comparison of interactive voice response, patient mailing, and mailed registry to encourage screening for osteoporosis: a randomized controlled trial

Implementation of Chatbot Technology in Health Care: Protocol for a Bibliometric Analysis

BACKGROUND

Chatbots have the potential to increase people's access to quality health care. However, the implementation of chatbot technology in the health care system is unclear due to the scarce analysis of publications on the adoption of chatbot in health and medical settings.

OBJECTIVE

This paper presents a protocol of a bibliometric analysis aimed at offering the public insights into the current state and emerging trends in research related to the use of chatbot technology for promoting health.

METHODS

In this bibliometric analysis, we will select published papers from the databases of CINAHL, IEEE Xplore, PubMed, Scopus, and Web of Science that pertain to chatbot technology and its applications in health care. Our search strategy includes keywords such as "chatbot," "virtual agent," "virtual assistant," "conversational agent," "conversational AI," "interactive agent," "health," and "healthcare." Five researchers who are AI engineers and clinicians will independently review the titles and abstracts of selected papers to determine their eligibility for a full-text review. The corresponding author (ZN) will serve as a mediator to address any discrepancies and disputes among the 5 reviewers. Our analysis will encompass various publication patterns of chatbot research, including the number of annual publications, their geographic or institutional distribution, and the number of annual grants supporting chatbot research, and further summarize the methodologies used in the development of health-related chatbots, along with their features and applications in health care settings. Software tool VOSViewer (version 1.6.19; Leiden University) will be used to construct and visualize bibliometric networks.

RESULTS

The preparation for the bibliometric analysis began on December 3, 2021, when the research team started the process of familiarizing themselves with the software tools that may be used in this analysis, VOSViewer and CiteSpace, during which they consulted 3 librarians at the Yale University regarding search terms and tentative results. Tentative searches on the aforementioned databases yielded a total of 2340 papers. The official search phase started on July 27, 2023. Our goal is to complete the screening of papers and the analysis by February 15, 2024.

CONCLUSIONS

Artificial intelligence chatbots, such as ChatGPT (OpenAI Inc), have sparked numerous discussions within the health care industry regarding their impact on human health. Chatbot technology holds substantial promise for advancing health care systems worldwide. However, developing a sophisticated chatbot capable of precise interaction with health care consumers, delivering personalized care, and providing accurate health-related information and knowledge remain considerable challenges. This bibliometric analysis seeks to fill the knowledge gap in the existing literature on health-related chatbots, entailing their applications, the software used in their development, and their preferred functionalities among users.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/54349.

Digital health interventions for osteoporosis and post-fragility fracture care

The growing burden from osteoporosis and fragility fractures highlights a need to improve osteoporosis management across healthcare systems. Sub-optimal management of osteoporosis is an area suitable for digital health interventions. While fracture liaison services (FLSs) are proven to greatly improve care for people with osteoporosis, such services might benefit from technologies that enhance automation. The term 'Digital Health' covers a variety of different tools including clinical decision support systems, electronic medical record tools, patient decision aids, patient apps, education tools, and novel artificial intelligence (AI) algorithms. Within the scope of this review are AI solutions that use algorithms within health system registries to target interventions. Clinician-targeted, patient-targeted, or system-targeted digital health interventions could be used to improve management and prevent fragility fractures. This review was commissioned by The Royal Osteoporosis Society and Bone Research Academy during the production of the 2020 Research Roadmap (https://theros.org.uk), with the intention of identifying gaps where targeted research funding could lead to improved patient health. We explore potential uses of digital technology in the general management of osteoporosis. Evidence suggests that digital technologies can support multidisciplinary teams to provide the best possible patient care based on current evidence and to support patients in self-management. However, robust randomised controlled studies are still needed to assess the effectiveness and cost-effectiveness of these technologies.

Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review

Background

Disease prevention is a central aspect of primary care practice and is comprised of primary (eg, vaccinations), secondary (eg, screenings), tertiary (eg, chronic condition monitoring), and quaternary (eg, prevention of overmedicalization) levels. Despite rapid digital transformation of primary care practices, digital health interventions (DHIs) in preventive care have yet to be systematically evaluated.

Objective

This review aimed to identify and describe the scope and use of current DHIs for preventive care in primary care settings.

Methods

A scoping review to identify literature published from 2014 to 2020 was conducted across multiple databases using keywords and Medical Subject Headings terms covering primary care professionals, prevention and care management, and digital health. A subgroup analysis identified relevant studies conducted in US primary care settings, excluding DHIs that use the electronic health record (EHR) as a retrospective data capture tool. Technology descriptions, outcomes (eg, health care performance and implementation science), and study quality as per Oxford levels of evidence were abstracted.

Results

The search yielded 5274 citations, of which 1060 full-text articles were identified. Following a subgroup analysis, 241 articles met the inclusion criteria. Studies primarily examined DHIs among health information technologies, including EHRs (166/241, 68.9%), clinical decision support (88/241, 36.5%), telehealth (88/241, 36.5%), and multiple technologies (154/241, 63.9%). DHIs were predominantly used for tertiary prevention (131/241, 54.4%). Of the core primary care functions, comprehensiveness was addressed most frequently (213/241, 88.4%). DHI users were providers (205/241, 85.1%), patients (111/241, 46.1%), or multiple types (89/241, 36.9%). Reported outcomes were primarily clinical (179/241, 70.1%), and statistically significant improvements were common (192/241, 79.7%). Results were summarized across the following 5 topics for the most novel/distinct DHIs: population-centered, patient-centered, care access expansion, panel-centered (dashboarding), and application-driven DHIs. The quality of the included studies was moderate to low.

Conclusions

Preventive DHIs in primary care settings demonstrated meaningful improvements in both clinical and nonclinical outcomes, and across user types; however, adoption and implementation in the US were limited primarily to EHR platforms, and users were mainly clinicians receiving alerts regarding care management for their patients. Evaluations of negative results, effects on health disparities, and many other gaps remain to be explored.

Coordinating Healthcare with Artificial intelligence-supported Technology for Atrial Fibrillation patients (CHAT-AF): Protocol for a Randomised Controlled Trial (Preprint)

Background

Atrial fibrillation (AF) is an increasingly common chronic health condition for which integrated care that is multidisciplinary and patient-centric is recommended yet challenging to implement.

Objective

The aim of Coordinating Health Care With Artificial Intelligence–Supported Technology in AF is to evaluate the feasibility and potential efficacy of a digital intervention (AF-Support) comprising preprogrammed automated telephone calls (artificial intelligence conversational technology), SMS text messages, and emails, as well as an educational website, to support patients with AF in self-managing their condition and coordinate primary and secondary care follow-up.

Methods

Coordinating Health Care With Artificial Intelligence–Supported Technology in AF is a 6-month randomized controlled trial of adult patients with AF (n=385), who will be allocated in a ratio of 4:1 to AF-Support or usual care, with postintervention semistructured interviews. The primary outcome is AF-related quality of life, and the secondary outcomes include cardiovascular risk factors, outcomes, and health care use. The 4:1 allocation design enables a detailed examination of the feasibility, uptake, and process of the implementation of AF-Support. Participants with new or ongoing AF will be recruited from hospitals and specialist-led clinics in Sydney, New South Wales, Australia. AF-Support has been co-designed with clinicians, researchers, information technologists, and patients. Automated telephone calls will occur 7 times, with the first call triggered to commence 24 to 48 hours after enrollment. Calls follow a standard flow but are customized to vary depending on patients’ responses. Calls assess AF symptoms, and participants’ responses will trigger different system responses based on prespecified protocols, including the identification of red flags requiring escalation. Randomization will be performed electronically, and allocation concealment will be ensured. Because of the nature of this trial, only outcome assessors and data analysts will be blinded. For the primary outcome, groups will be compared using an analysis of covariance adjusted for corresponding baseline values. Randomized trial data analysis will be performed according to the intention-to-treat principle, and qualitative data will be thematically analyzed.

Results

Ethics approval was granted by the Western Sydney Local Health District Human Ethics Research Committee, and recruitment started in December 2020. As of December 2021, a total of 103 patients had been recruited.

Conclusions

This study will address the gap in knowledge with respect to the role of postdischarge digital care models for supporting patients with AF.

Trial Registration

Australian New Zealand Clinical Trials Registry ACTRN12621000174886; https://www.australianclinicaltrials.gov.au/anzctr/trial/ACTRN12621000174886

International Registered Report Identifier (IRRID)

DERR1-10.2196/34470

Racial and Ethnic Disparities in Bone Health and Outcomes in the United States

Osteoporosis is a bone disease classified by deterioration of bone microarchitecture and decreased bone strength, thereby increasing subsequent risk of fracture. In the United States, approximately 54 million adults aged 50 years and older have osteoporosis or are at risk due to low bone mass. Osteoporosis has long been viewed as a chronic health condition affecting primarily non-Hispanic white (NHW) women; however, emerging evidence indicates racial and ethnic disparities in bone outcomes and osteoporosis management. The primary objective of this review is to describe disparities in bone mineral density (BMD), prevalence of osteoporosis and fracture, as well as in screening and treatment of osteoporosis among non-Hispanic black (NHB), Hispanic, and Asian adults compared with NHW adults living on the US mainland. The following areas were reviewed: BMD, osteoporosis prevalence, fracture prevalence and incidence, postfracture outcomes, DXA screening, and osteoporosis treatments. Although there are limited studies on bone and fracture outcomes within Asian and Hispanic populations, findings suggest that there are differences in bone outcomes across NHW, NHB, Asian, and Hispanic populations. Further, NHB, Asian, and Hispanic populations may experience suboptimal osteoporosis management and postfracture care, although additional population-based studies are needed. There is also evidence that variation in BMD and osteoporosis exists within major racial and ethnic groups, highlighting the need for research in individual groups by origin or background. Although there is a clear need to prioritize future quantitative and qualitative research in these populations, initial strategies for addressing bone health disparities are discussed. © 2021 American Society for Bone and Mineral Research (ASBMR).

Delivering fracture prevention services to rural US veterans through telemedicine: a process evaluation

An informatics-driven population bone health clinic was implemented to identify, screen, and treat rural US Veterans at risk for osteoporosis. We report the results of our implementation process evaluation which demonstrated BHT to be a feasible telehealth model for delivering preventative osteoporosis services in this setting.

PURPOSE

An established and growing quality gap in osteoporosis evaluation and treatment of at-risk patients has yet to be met with corresponding clinical care models addressing osteoporosis primary prevention. The rural bone health tea m (BHT) was implemented to identify, screen, and treat rural Veterans lacking evidence of bone health care and we conducted a process evaluation to understand BHT implementation feasibility.

METHODS

For this evaluation, we defined the primary outcome as the number of Veterans evaluated with DXA and a secondary outcome as the number of Veterans who initiated prescription therapy to reduce fracture risk. Outcomes were measured over a 15-month period and analyzed descriptively. Qualitative data to understand successful implementation were collected concurrently by conducting interviews with clinical personnel interacting with BHT and BHT staff and observations of BHT implementation processes at three site visits using the Promoting Action on Research Implementation in Health Services (PARIHS) framework.

RESULTS

Of 4500 at-risk, rural Veterans offered osteoporosis screening, 1081 (24%) completed screening, and of these, 37% had normal bone density, 48% osteopenia, and 15% osteoporosis. Among Veterans with pharmacotherapy indications, 90% initiated therapy. Qualitative analyses identified barriers of rural geography, rural population characteristics, and the infrastructural resource requirement. Data infrastructure, evidence base for care delivery, stakeholder buy-in, formal and informal facilitator engagement, and focus on teamwork were identified as facilitators of implementation success.

CONCLUSION

The BHT is a feasible population telehealth model for delivering preventative osteoporosis care to rural Veterans.

The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review

Background

The high demand for health care services and the growing capability of artificial intelligence have led to the development of conversational agents designed to support a variety of health-related activities, including behavior change, treatment support, health monitoring, training, triage, and screening support. Automation of these tasks could free clinicians to focus on more complex work and increase the accessibility to health care services for the public. An overarching assessment of the acceptability, usability, and effectiveness of these agents in health care is needed to collate the evidence so that future development can target areas for improvement and potential for sustainable adoption.

Objective

This systematic review aims to assess the effectiveness and usability of conversational agents in health care and identify the elements that users like and dislike to inform future research and development of these agents.

Methods

PubMed, Medline (Ovid), EMBASE (Excerpta Medica dataBASE), CINAHL (Cumulative Index to Nursing and Allied Health Literature), Web of Science, and the Association for Computing Machinery Digital Library were systematically searched for articles published since 2008 that evaluated unconstrained natural language processing conversational agents used in health care. EndNote (version X9, Clarivate Analytics) reference management software was used for initial screening, and full-text screening was conducted by 1 reviewer. Data were extracted, and the risk of bias was assessed by one reviewer and validated by another.

Results

A total of 31 studies were selected and included a variety of conversational agents, including 14 chatbots (2 of which were voice chatbots), 6 embodied conversational agents (3 of which were interactive voice response calls, virtual patients, and speech recognition screening systems), 1 contextual question-answering agent, and 1 voice recognition triage system. Overall, the evidence reported was mostly positive or mixed. Usability and satisfaction performed well (27/30 and 26/31), and positive or mixed effectiveness was found in three-quarters of the studies (23/30). However, there were several limitations of the agents highlighted in specific qualitative feedback.

Conclusions

The studies generally reported positive or mixed evidence for the effectiveness, usability, and satisfactoriness of the conversational agents investigated, but qualitative user perceptions were more mixed. The quality of many of the studies was limited, and improved study design and reporting are necessary to more accurately evaluate the usefulness of the agents in health care and identify key areas for improvement. Further research should also analyze the cost-effectiveness, privacy, and security of the agents.

International Registered Report Identifier (IRRID)

RR2-10.2196/16934

Translation of Patient-Reported Outcomes in Oncology Clinical Trials to Everyday Practice

PURPOSE

Clinical trials in oncology evaluating the effects of patient-reported outcomes (PRO) collection have found that monitoring of symptoms with PROs is associated with improved clinical care through reduced acute care utilization and decreased patient symptom burden. This educational review will evaluate strategies for systematic PRO integration into everyday oncology clinical practice.

METHODS

We outline key considerations for using PROs in clinical practice, highlighting evidence from published studies. We also discuss the benefits and challenges of PRO implementation in oncology.

RESULTS

Implementing PRO collection in clinical practice can improve care delivery and facilitate patient-centered clinical research. Considerations for using PROs in clinical practice include choice of instrument, method of delivery, and frequency of query. Challenges with implementing systematic PRO collection include the costs and resources needed for implementation, impact on clinical workflow, and controlling/monitoring physician burnout.

CONCLUSIONS

While challenges exist in terms of financial resources and staff participation/burnout, patient-reported outcomes in clinical practice provide a number of benefits, including symptom monitoring, clinical research, and potential real-time personalized clinical-decision support.

Quality Measures and Quality Improvement Initiatives in Osteoporosis-an Update

PURPOSE OF REVIEW

The aims of this review are to summarize current performance for osteoporosis quality measures used by Centers for Medicare and Medicaid (CMS) for pay-for-performance programs and to describe recent quality improvement strategies around these measures.

RECENT FINDINGS

Healthcare Effectiveness Data and Information (HEDIS) quality measures for the managed care population indicate gradual improvement in osteoporosis screening, osteoporosis identification and treatment following fragility fracture, and documentation of fall risk assessment and plan of care between 2006 and 2016. However, population-based studies suggest achievement for these process measures is lower where reporting is not mandated. Performance gaps remain, particularly for post-fracture care. Elderly patients with increased comorbidity are especially vulnerable to fractures, yet underperformance is documented in this population. Gender and racial disparities also exist. As has been shown for other areas of health care, education alone has a limited role as a quality improvement intervention. Multifactorial and systems-based interventions seem to be most successful in leading to measurable change for osteoporosis care and fall prevention. Despite increasing recognition of evidence-based quality measures for osteoporosis and incentives to improve upon performance for these measures, persistent gaps in care exist that will require further investigation into sustainable and value-adding quality improvement interventions.

How Can We Improve Osteoporosis Care? A Systematic Review and Meta-Analysis of the Efficacy of Quality Improvement Strategies for Osteoporosis

Although osteoporosis affects 10 million people in the United States, screening and treatment rates remain low. We performed a systematic review and meta-analysis of the efficacy of quality improvement strategies to improve osteoporosis screening (bone mineral density [BMD]/dual-energy X-ray absorptiometry [DXA] testing) and/or treatment (pharmacotherapy) initiation rates. We developed broad literature search strategies for PubMed, Embase, and Cochrane Library databases, and applied inclusion/exclusion criteria to select relevant studies. Random-effects meta-analyses were performed for outcomes of BMD/DXA testing and/or osteoporosis treatment. Forty-three randomized clinical studies met inclusion criteria. For increasing BMD/DXA testing in patients with recent or prior fracture, meta-analyses demonstrated several efficacious strategies, including orthopedic surgeon or fracture clinic initiation of osteoporosis evaluation or management (risk difference 44%, 95% confidence interval [CI] 26%-63%), fracture liaison service/case management (risk difference 43%, 95% CI 23%-64%), multifaceted interventions targeting providers and patients (risk difference 24%, 95% CI 15%-32%), and patient education and/or activation (risk difference 16%, 95% CI 6%-26%). For increasing osteoporosis treatment in patients with recent or prior fracture, meta-analyses demonstrated significant efficacy for interventions of fracture liaison service/case management (risk difference 20%, 95% CI 1%-40%) and multifaceted interventions targeting providers and patients (risk difference 12%, 95% CI 6%-17%). The only quality improvement strategy for which meta-analysis findings demonstrated significant improvement of osteoporosis care for patient populations including individuals without prior fracture was patient self-scheduling of DXA plus education, for increasing the outcome of BMD testing (risk difference 13%, 95% CI 7%-18%). The meta-analyses findings were limited by small number of studies in each analysis; high between-study heterogeneity; sensitivity to removal of individual studies; and unclear risk of bias of included studies. Despite the limitations of the current body of evidence, our findings indicate there are several strategies that appear worthwhile to enact to try to improve osteoporosis screening and/or treatment rates. © 2018 American Society for Bone and Mineral Research.

Diet and exercise changes following bone densitometry in the Patient Activation After DXA Result Notification (PAADRN) study

Calcium and vitamin D intake and exercise are suboptimal among older adults. Following bone densitometry, a letter communicating individualized fracture risk accompanied by an educational brochure improved participants' lifestyle-but no more than existing communication strategies-over 52 weeks. Simple communication strategies are insufficient for achieving optimal levels of bone health behaviors.

PURPOSE

The Patient Activation After DXA Result Notification (PAADRN) study was designed to evaluate whether a letter with individualized fracture risk and an educational brochure mailed to patients soon after their DXA might improve bone health behaviors (daily calcium intake, vitamin D supplementation, and weekly exercise sessions) compared to slower, less individualized communication characterizing usual care.

METHODS

Participants ≥ 50 years were recruited, at three sites, following their DXA and randomized with 1:1 allocation to intervention and control (usual care only) groups. Data were collected at enrollment interview and by phone survey at 12 and 52 weeks thereafter. Intention-to-treat analyses were conducted on 7749 of the 20,397 eligible participants who enrolled. Changes in bone health behaviors were compared within and between study groups. Average treatment effects and heterogeneity of treatment effects were estimated with multivariable linear and logistic regression models.

RESULTS

In unadjusted analyses, calcium intake, vitamin D supplementation, and weekly exercise sessions increased significantly over 52 weeks within both the intervention and control groups (all p < 0.001). In unadjusted analyses and multivariable models, increases in each behavior did not significantly differ between the intervention and control groups. Intervention group participants with a > 20% 10-year fracture risk at enrollment did, however, have a significantly greater increase in calcium intake compared to other study participants (p = 0.031).

CONCLUSIONS

Bone health behaviors improved, on average, over 52 weeks among all participants following a DXA. Receipt of the PAADRN letter and educational brochure did not directly improve bone health behaviors compared to usual care.

TRIAL REGISTRATION

The Patient Activation after DXA Result Notification (PAADRN) Study is registered at ClinicalTrials.Gov: NCT01507662, https://clinicaltrials.gov/ct2/show/NCT01507662.

Complex interventions can increase osteoporosis investigations and treatment: a systematic review and meta-analysis

Osteoporosis is affecting over 200 million people worldwide. Despite available guidelines, care for these patients remains sub-optimal. We developed an osteoporosis tool to address the multiple dimensions of chronic disease management. Findings from its evaluation showed a significant increase from baseline in osteoporosis investigations and treatment, so we are revising this tool to include multiple chronic conditions including an update of evidence about osteoporosis. Our objectives were to conduct a systematic review of osteoporosis interventions in adults at risk for osteoporosis. We searched bibliometric databases for randomized controlled trials (RCTs) in any language evaluating osteoporosis disease management interventions in adults at risk for osteoporosis. Reviewer pairs independently screened citations and full-text articles, extracted data, and assessed risk of bias. Analysis included random effects meta-analysis. Primary outcomes were osteoporosis investigations and treatment, and fragility fractures. Fifty-five RCTs and one companion report were included in the analysis representing 165,703 patients. Our findings from 55 RCTs and 18 sub-group meta-analyses showed that complex implementation interventions with multiple components consisting of at least education + feedback + follow-up significantly increased the initiation of osteoporosis medications, and interventions with at least education + follow-up significantly increased the initiation of osteoporosis investigations. No significant impact was found for any type of intervention to reduce fracture. Complex interventions that include at least education + follow-up or feedback have the most potential for increasing osteoporosis investigations and treatment. Patient education appears to be an important component in osteoporosis disease management.

Education and exercise program improves osteoporosis knowledge and changes calcium and vitamin D dietary intake in community dwelling elderly

BACKGROUND

Several educational intervention programs have been designed and developed to improve osteoporosis diagnosis and treatment. However, most of the prior studies focused on how educational intervention programs affected diagnosis and treatment of condition of osteoporosis. The purpose of this prospective and educational intervention study was to evaluate the changes in osteoporosis knowledge, osteoporosis self-efficacy, fall self-efficacy, physical exercise and changes in dietary pattern of calcium and vitamin D intake after osteoporosis education.

METHODS

From November 1, 2015 to August 31, 2016, 271 eligible candidates (who were over 50 years old and from 23 different community centers) were recruited through an announcement made by the public office, by two health care providers. The intervention involved an individualized education program to allow for differences in antecedent educational levels regarding several aspects of osteoporosis, including osteoporosis knowledge, osteoporosis self-efficacy, awareness of self-efficacy risk factors relating to an accidental fall and nutritional education (including the importance of sufficient calcium and vitamin D intake). The researchers revisited the community centers three months after the initial visit.

RESULTS

Of the 271 potential participants, 199 (73.4%; 43 men and 156 women) completed the education program and the second questionnaire. After education intervention, parameters including osteoporosis knowledge, osteoporosis self-efficacy and fall self-efficacy were improved (P < 0.0001). After education regarding percentage of calcium and vitamin D intake below recommended cut-offs, inadequate dietary calcium and vitamin D intake were decreased (P < 0.0001) from 89.4% (178/199) and 84.4% (168/199) to 79.9% (159/199) and 65.8% (131/199), respectively, at the three-month follow-up. (p = 0.038, p = 0.017).

CONCLUSIONS

This prospective intervention study demonstrated that education on osteoporosis knowledge and regular exercise programs could improve osteoporosis self- efficacy, fall self-efficacy and increase dietary calcium and vitamin D intake.

Interactive Voice Response Calls to Promote Smoking Cessation after Hospital Discharge: Pooled Analysis of Two Randomized Clinical Trials

BACKGROUND

Hospitalization offers smokers an opportunity to quit smoking. Starting cessation treatment in hospital is effective, but sustaining treatment after discharge is a challenge. Automated telephone calls with interactive voice response (IVR) technology could support treatment continuance after discharge.

OBJECTIVE

To assess smokers' use of and satisfaction with an IVR-facilitated intervention and to test the relationship between intervention dose and smoking cessation.

DESIGN

Analysis of pooled quantitative and qualitative data from the intervention groups of two similar randomized controlled trials with 6-month follow-up.

PARTICIPANTS

A total of 878 smokers admitted to three hospitals. All received cessation counseling in hospital and planned to stop smoking after discharge.

INTERVENTION

After discharge, participants received free cessation medication and five automated IVR calls over 3 months. Calls delivered messages promoting smoking cessation and medication adherence, offered medication refills, and triaged smokers to additional telephone counseling.

MAIN MEASURES

Number of IVR calls answered, patient satisfaction, biochemically validated tobacco abstinence 6 months after discharge.

KEY RESULTS

Participants answered a median of three of five IVR calls; 70% rated the calls as helpful, citing the social support, access to counseling and medication, and reminders to quit as positive factors. Older smokers (OR 1.36, 95% CI 1.20-1.54 per decade) and smokers hospitalized for a smoking-related disease (OR 1.65, 95% CI 1.21-2.23) completed more calls. Smokers who completed more calls had higher quit rates at 6-month follow-up (OR 1.49, 95% CI 1.30-1.70, for each additional call) after multivariable adjustment for age, sex, education, discharge diagnosis, nicotine dependence, duration of medication use, and perceived importance of and confidence in quitting.

CONCLUSIONS

Automated IVR calls to support smoking cessation after hospital discharge were viewed favorably by patients. Higher IVR utilization was associated with higher odds of tobacco abstinence at 6-month follow-up. IVR technology offers health care systems a potentially scalable means of sustaining tobacco cessation interventions after hospital discharge.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov Identifiers NCT01177176, NCT01714323.

Prevalence of Osteoporosis and Effectiveness of Screening Test Using Ultrasound Bone Densitometry and Education in a Community-Dwelling Population

This prospective intervention study was undertaken to estimate the prevalence and treatment rate of osteoporosis following osteoporosis screening tests in the same cohort. From November 1, 2014 to August 31, 2015, participants received screening tests for osteoporosis using ultrasound bone densitometry and education concerning osteoporosis and related conditions. The participants were interviewed using a questionnaire on the diagnosis and initiation of osteoporosis treatment during the follow-up period. Of 960 potential participants, 595 people (68.8%; 150 men and 445 women) were given bone densitometry measurements and completed the questionnaire. The mean age of the participants was 74.0 years. Of the 595 participants, 393 people (66.1%; 67 men and 326 woman) were diagnosed with osteoporosis (T score < -2.5). The prevalence of osteoporosis showed an increasing trend, from 48.1% in 2004 to 66.1% in 2015. Of the 393 participants diagnosed with osteoporosis, 65 participants received additional bone densitometry measurements while hospitalized and osteoporosis management was re-initiated in 44 patients. The osteoporosis management rate in the study cohort increased from 21.6% to 32.8%, with osteoporosis diagnosed in 66.2% of participants at the latest follow-up. This prospective intervention study demonstrated that a screening test and an educational brochure increased the treatment rate from 21.6% to 32.8%.

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.

Fracture liaison services: promoting enhanced bone health care

The high prevalence of osteoporotic fractures and their major effect on morbidity and mortality emphasizes the critical need to optimize bone health care. Patients presenting with fragility fractures are at high risk of subsequent fracture, but treatment rates have remained low for these patients. Recently developed fracture liaison services have successfully increased osteoporosis treatment, with improved patient outcomes. We review factors contributing to the treatment gap in osteoporosis, the function of fracture liaison services in reducing this gap, and lessons learned from the literature on effective formats, key elements, and suggestions for managing challenges in implementation of a fracture liaison service.

Assessment of an interactive voice response system for identifying falls in a statewide sample of older adults

OBJECTIVE

Interactive voice response (IVR) systems offer great advantages for data collection in large, geographically dispersed samples involving frequent contact. We assessed the quality of IVR data collected from older respondents participating in a statewide falls prevention program evaluation in Pennsylvania in 2010-12.

METHOD

Participants (n=1834) were followed up monthly for up to 10 months to compare respondents who completed all, some, or no assessments in the IVR system. Validity was assessed by examining IVR-reported falls incidence relative to baseline in-person self-report and performance assessment of balance.

RESULTS

While a third of the sample switched from IVR to in-person calls over follow-up, IVR interviews were successfully used to complete 68.1% of completed monthly assessments (10,511/15,430). Switching to in-person interviews was not associated with measures of participant function or cognition. Both self-reported (p<.0001) and performance assessment of balance (p=.05) at baseline were related to falls incidence.

CONCLUSION

IVR is a productive modality for falls research among older adults. Future research should establish what level of initial personal research contact is optimal for boosting IVR completion rates and what research domains are most appropriate for this kind of contact.