JMIR Publications

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  Electronic/Mobile Data Capture,...

  Dec 6, 2019

  Compliance and Retention With the Experience Sampling Method Over the Continuum of Severe Mental Disorders: Meta-Analysis and Recommendations

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  Authors List:

  • Hugo Vachon  
  • Wolfgang Viechtbauer  
  • Aki Rintala  
  • Inez Myin-Germeys  

  Abstract:

  Background: Despite the growing interest in the experience sampling method (ESM) as a data collection tool for mental health research, the absence of methodological guidelines related to its use has resulted in a large heterogeneity of designs. Concomitantly, the potential effects of the design on the response behavior of the participants remain largely unknown. Objective: The objective of this meta-analysis was to investigate the associations between various sample and design characteristics and the compliance and retention rates of studies using ESM in mental health research. Methods: ESM studies investigating major depressive disorder, bipolar disorder, and psychotic disorder were considered for inclusion. Besides the compliance and retention rates, a number of sample and design characteristics of the selected studies were collected to assess their potential relationships with the compliance and retention rates. Multilevel random/mixed effects models were used for the analyses. Results: Compliance and retention rates were lower for studies with a higher proportion of male participants (P<.001) and individuals with a psychotic disorder (P<.001). Compliance was positively associated with the use of a fixed sampling scheme (P=.02), higher incentives (P=.03), higher time intervals between successive evaluations (P=.02), and fewer evaluations per day (P=.008), while no significant associations were observed with regard to the mean age of the sample, the study duration, or other design characteristics. Conclusions: The findings demonstrate that ESM studies can be carried out in mental health research, but the quality of the data collection depends upon a number of factors related to the design of ESM studies and the samples under study that need to be considered when designing such protocols.

  • J Med Internet Res 2019;21(12):e14475

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  Web-based and Mobile Health...

  Dec 5, 2019

  A Web-Based Self-Titration Program to Control Blood Pressure in Patients With Primary Hypertension: Randomized Controlled Trial

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  Authors List:

  • Chi-Wen Kao  
  • Ting-Yu Chen  
  • Shu-Meng Cheng  
  • Wei-Shiang Lin  
  • Yue-Cune Chang  

  Abstract:

  Background: Hypertension is a major cause of mortality in cardiac, vascular, and renal disease. Effective control of elevated blood pressure has been shown to reduce target organ damage. A Web-based self-titration program may empower patients to control their own disease, share decisions about antihypertensive dose titration, and improve self-management, ultimately improving health-related quality of life. Objective: Our primary aim was to evaluate the effects of a Web-based self-titration program for improving blood pressure control in patients with primary hypertension. Our secondary aim was to evaluate the effects of that program on improving health-related quality of life. Methods: This was a parallel-group, double-blind, randomized controlled trial with assessments at baseline, 3 months, and 6 months. We included patients with primary hypertension (blood pressure>130/80 mm Hg) from a cardiology outpatient department in northern Taiwan and divided them randomly into intervention and control groups. The intervention group received the Web-based self-titration program, while the control group received usual care. The random allocation was concealed from participants and outcome evaluators. Health-related quality of life was measured by the EuroQol five-dimension self-report questionnaire. We used generalized estimating equations to evaluate the effects of the intervention. Results: We included 222 patients and divided them equally into intervention (n=111) and control (n=111) groups. Patients receiving the Web-based self-titration program showed significantly greater improvement in the systolic and diastolic blood pressure control than those who did not receive this program, at 3 months (–21.4 mm Hg and –5.4 mm Hg, respectively; P<.001) and 6 months (–27.8 mm Hg and –9.7 mm Hg, respectively; P<.001). Compared with the control group, the intervention group showed a significant decrease in the overall defined daily dose at both 3 (–0.202, P=.003) and 6 (–0.236, P=.001) months. Finally, health-related quality of life improved significantly in the intervention group compared with the control group at both 3 and 6 months (both, P<.001). Conclusions: A Web-based self-titration program can provide immediate feedback to patients about how to control their blood pressure and manage their disease at home. This program not only decreases mean blood pressure but also increases health-related quality of life in patients with primary hypertension. Clinical Trial: ClinicalTrials.gov NCT03470974; https://clinicaltrials.gov/ct2/show/NCT03470974

  • J Med Internet Res 2019;21(12):e15836

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  Medicine 2.0: Social Media, Open,...

  Dec 4, 2019

  Pregnancy-Related Information Seeking and Sharing in the Social Media Era Among Expectant Mothers: Qualitative Study

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  Authors List:

  • Chengyan Zhu  
  • Runxi Zeng  
  • Wei Zhang  
  • Richard Evans  
  • Rongrong He  

  Abstract:

  Background: Social media has become the most popular communication tool used by Chinese citizens, including expectant mothers. An increasing number of women have adopted various forms of social media channels, such as interactive websites, instant messaging, and mobile apps, to solve problems and obtain answers to queries during pregnancy. Although the use of the internet by pregnant women has been studied extensively worldwide, limited research exists that explores the changing social media usage habits in China, where the 1 child policy ended in 2015. Objective: This study aimed to (1) present the status quo of pregnancy-related information seeking and sharing via social media among Chinese expectant mothers, (2) reveal the impact of social media usage, and (3) shed light on pregnancy-related health services delivered via social media channels. Methods: A qualitative approach was employed to examine social media usage and its consequences on pregnant women. A total of 20 women who had conceived and were at various stages of pregnancy were interviewed from July 20 to August 10, 2017. Thematic analysis was conducted on the collected data to identify patterns in usage. Results: Overall, 80% (16/20) of participants were aged in their 20s (mean 28.5 years [SD 4.3]). All had used social media for pregnancy-related purposes. For the seeking behavior, 18 codes were merged into 4 themes, namely, gravida, fetus, delivery, and the postpartum period; whereas for sharing behaviors, 10 codes were merged into 4 themes, namely, gravida, fetus, delivery, and caretaker. Lurking, small group sharing, bad news avoidance, and cross-checking were identified as the preferred patterns for using social media. Overall, 95% (19/20) of participants reported a positive mental impact from using social media during their pregnancy. Conclusions: It is indisputable that social media has played an increasingly important role in supporting expectant mothers in China. The specific seeking and sharing patterns identified in this study indicate that the general quality of pregnancy-related information on social media, as well as Chinese culture toward pregnancy, is improving. The new themes that merge in pregnancy-related social media use represent a shift toward safe pregnancy and the promotion of a more enjoyable pregnancy. Future prenatal care should provide further information on services related to being comfortable during pregnancy and reducing the inequality of social media–based services caused by the digital divide.

  • J Med Internet Res 2019;21(12):e13694

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  Knowledge Translation and...

  Dec 4, 2019

  Attitudes Toward Health Care Virtual Communities of Practice: Survey Among Health Care Workers

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  Authors List:

  • Nicole Yada  
  • Milena Head  

  Abstract:

  Background: Virtual communities of practice (VCoPs) have been shown to be an effective means for knowledge and research uptake, but little is known about why health care workers choose to use them. The elaboration likelihood model (ELM) is a theoretical model of persuasion that distinguishes between different routes of information processing that influence attitude formation and change. To date, no research has investigated the antecedents to these processing routes for VCoPs within a health care setting. In understanding these determinants, VCoPs can be appropriately designed to increase their chances of use and value among health care professionals. Objective: Our aim is to explore how motivation and ability affect attitudes toward using VCoPs for those working in health care. Methods: Data were collected from 86 health care workers using an online survey at two Canadian health care conferences. Participants were shown a mock VCoP and asked about their perceptions of the online platform and related technologies. The survey instrument was developed based on previously validated scales to measure participants’ ability and motivation toward using a VCoP. Attitudes were assessed both at the beginning and end of the study; intention to use the platform was assessed at the end. Results: Ability (expertise with CoPs and VCoPs) was found to directly affect intention to use the system (P<.001 and P=.009, respectively) as was motivation (P<.001). Argument quality had the greatest effect on formed attitudes toward VCoPs, regardless of the user’s level of experience (lower expertise: P=.04; higher expertise: P=.003). Those with higher levels of CoPs expertise were also influenced by peripheral cues of source credibility (P=.005 for attitude formation and intention to use the system) and connectedness (P=.04 for attitude formation; P=.008 for intention to use the system), whereas those with lower levels of CoP expertise were not (P>.05). A significant correlation between formed attitude and intention to use the VCoPs system was found for those with higher levels of expertise (P<.001). Conclusions: This research found that both user ability and motivation play an important and positive role in the attitude toward and adoption of health care VCoPs. Unlike previous ELM research, evidence-based arguments were found to be an effective messaging tactic for improving attitudes toward VCoPs for health care professionals with both high and low levels of expertise. Understanding these factors that influence the attitudes of VCoPs can provide insight into how to best design and position such systems to encourage their effective use among health care professionals.

  • J Med Internet Res 2019;21(12):e15176

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  Consumer & Patient Education and...

  Dec 4, 2019

  Comparative Effectiveness of a Web-Based Patient Decision Aid for Therapeutic Options for Sickle Cell Disease: Randomized Controlled Trial

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  Authors List:

  • Lakshmanan Krishnamurti  
  • Diana Ross  
  • Cynthia Sinha  
  • Traci Leong  
  • Namita Bakshi  
  • Nonita Mittal  
  • Divya Veludhandi  
  • Anh-Phuong Pham  
  • Alankrita Taneja  
  • Kamesh Gupta  
  • Julum Nwanze  
  • Andrea Marie Matthews  
  • Saumya Joshi  
  • Veronica Vazquez Olivieri  
  • Santhi Arjunan  
  • Ifechi Okonkwo  
  • Ines Lukombo  
  • Peter Lane  
  • Nitya Bakshi  
  • George Loewenstein  

  Abstract:

  Background: Hydroxyurea, chronic blood transfusions, and bone marrow transplantation are efficacious, disease-modifying therapies for sickle cell disease but involve complex risk-benefit trade-offs and decisional dilemma compounded by the lack of comparative studies. A patient decision aid can inform patients about their treatment options, the associated risks and benefits, help them clarify their values, and allow them to participate in medical decision making. Objective: The objective of this study was to develop a literacy-sensitive Web-based patient decision aid based on the Ottawa decision support framework, and through a randomized clinical trial estimate the effectiveness of the patient decision aid in improving patient knowledge and their involvement in decision making. Methods: We conducted population decisional needs assessments in a nationwide sample of patients, caregivers, community advocates, policy makers, and health care providers using qualitative interviews to identify decisional conflict, knowledge and expectations, values, support and resources, decision types, timing, stages and learning, and personal clinical characteristics. Interview transcripts were coded using QSR NVivo 10. Alpha testing of the patient decision aid prototype was done to establish usability and the accuracy of the information it conveyed, and then was followed by iterative cycles of beta testing. We conducted a randomized clinical trial of adults and of caregivers of pediatric patients to evaluate the efficacy of the patient decision aid. Results: In a decisional needs assessment, 223 stakeholders described their preferences, helping to guide the development of the patient decision aid, which then underwent alpha testing by 30 patients and 38 health care providers and iterative cycles of beta testing by 87 stakeholders. In a randomized clinical trial, 120 participants were assigned to either the patient decision aid or standard care (SC) arm. Qualitative interviews revealed high levels of usability, acceptability, and utility of the patient decision aid in education, values clarification, and preparation for decision making. On the acceptability survey, 72% (86/120) of participants rated the patient decision aid as good or excellent. Participants on the patient decision aid arm compared to the SC arm demonstrated a statistically significant improvement in decisional self-efficacy (P=.05) and a reduction in the informed sub-score of decisional conflict (P=.003) at 3 months, with an improvement in preparation for decision making (P<.001) at 6 months. However, there was no improvement in terms of the change in knowledge, the total or other domain scores of decisional conflicts, or decisional self-efficacies at 6 months. The large amount of missing data from survey completion limited our ability to draw conclusions about the effectiveness of the patient decision aid. The patient decision aid met 61 of 62 benchmarks of the international patient decision aid collaboration standards for content, development process, and efficacy. Conclusions: We have developed a patient decision aid for sickle cell disease with extensive input from stakeholders and in a randomized clinical trial demonstrated its acceptability and utility in education and decision making. We were unable to demonstrate its effectiveness in improving patient knowledge and involvement in decision making. Clinical Trial: ClinicalTrials.gov NCT03224429; https://clinicaltrials.gov/ct2/show/NCT03224429 and ClinicalTrials.gov NCT02326597; https://clinicaltrials.gov/ct2/show/NCT02326597

  • J Med Internet Res 2019;21(12):e14462

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  Viewpoint

  Dec 4, 2019

  Counting Bites With Bits: Expert Workshop Addressing Calorie and Macronutrient Intake Monitoring

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  Authors List:

  • Nabil Alshurafa  
  • Annie Wen Lin  
  • Fengqing Zhu  
  • Roozbeh Ghaffari  
  • Josiah Hester  
  • Edward Delp  
  • John Rogers  
  • Bonnie Spring  

  Abstract:

  Background: Conventional diet assessment approaches such as the 24-hour self-reported recall are burdensome, suffer from recall bias, and are inaccurate in estimating energy intake. Wearable sensor technology, coupled with advanced algorithms, is increasingly showing promise in its ability to capture behaviors that provide useful information for estimating calorie and macronutrient intake. Objective: This paper aimed to summarize current technological approaches to monitoring energy intake on the basis of expert opinion from a workshop panel and to make recommendations to advance technology and algorithms to improve estimation of energy expenditure. Methods: A 1-day invitational workshop sponsored by the National Science Foundation was held at Northwestern University. A total of 30 participants, including population health researchers, engineers, and intervention developers, from 6 universities and the National Institutes of Health participated in a panel discussing the state of evidence with regard to monitoring calorie intake and eating behaviors. Results: Calorie monitoring using technological approaches can be characterized into 3 domains: (1) image-based sensing (eg, wearable and smartphone-based cameras combined with machine learning algorithms); (2) eating action unit (EAU) sensors (eg, to measure feeding gesture and chewing rate); and (3) biochemical measures (eg, serum and plasma metabolite concentrations). We discussed how each domain functions, provided examples of promising solutions, and highlighted potential challenges and opportunities in each domain. Image-based sensor research requires improved ground truth (context and known information about the foods), accurate food image segmentation and recognition algorithms, and reliable methods of estimating portion size. EAU-based domain research is limited by the understanding of when their systems (device and inference algorithm) succeed and fail, need for privacy-protecting methods of capturing ground truth, and uncertainty in food categorization. Although an exciting novel technology, the challenges of biochemical sensing range from a lack of adaptability to environmental effects (eg, temperature change) and mechanical impact, instability of wearable sensor performance over time, and single-use design. Conclusions: Conventional approaches to calorie monitoring rely predominantly on self-reports. These approaches can gain contextual information from image-based and EAU-based domains that can map automatically captured food images to a food database and detect proxies that correlate with food volume and caloric intake. Although the continued development of advanced machine learning techniques will advance the accuracy of such wearables, biochemical sensing provides an electrochemical analysis of sweat using soft bioelectronics on human skin, enabling noninvasive measures of chemical compounds that provide insight into the digestive and endocrine systems. Future computing-based researchers should focus on reducing the burden of wearable sensors, aligning data across multiple devices, automating methods of data annotation, increasing rigor in studying system acceptability, increasing battery lifetime, and rigorously testing validity of the measure. Such research requires moving promising technological solutions from the controlled laboratory setting to the field.

  • J Med Internet Res 2019;21(12):e14904

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  Theme Issue 2019: Blockchain in...

  Dec 4, 2019

  Blockchain-Enabled iWellChain Framework Integration With the National Medical Referral System: Development and Usability Study

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  Authors List:

  • Yu-Sheng Lo  
  • Cheng-Yi Yang  
  • Hsiung-Fei Chien  
  • Shy-Shin Chang  
  • Chung-Ying Lu  
  • Ray-Jade Chen  

  Abstract:

  Background: Medical referral is the transfer of a patient’s care from one physician to another upon request. This process involves multiple steps that require provider-to-provider and provider-to-patient communication. In Taiwan, the National Health Insurance Administration (NHIA) has implemented a national medical referral (NMR) system, which encourages physicians to refer their patients to different health care facilities to reduce unnecessary hospital visits and the financial stress on the national health insurance. However, the NHIA’s NMR system is a government-based electronic medical referral service, and its referral data access and exchange are limited to authorized clinical professionals using their national health smart cards over the NHIA virtual private network. Therefore, this system lacks scalability and flexibility and cannot establish trusting relationships among patients, family doctors, and specialists. Objective: To eliminate the existing restrictions of the NHIA’s NMR system, this study developed a scalable, flexible, and blockchain-enabled framework that leverages the NHIA’s NMR referral data to build an alliance-based medical referral service connecting health care facilities. Methods: We developed a blockchain-enabled framework that can integrate patient referral data from the NHIA’s NMR system with electronic medical record (EMR) and electronic health record (EHR) data of hospitals and community-based clinics to establish an alliance-based medical referral service serving patients, clinics, and hospitals and improve the trust in relationships and transaction security. We also developed a blockchain-enabled personal health record decentralized app (DApp) based on our blockchain-enabled framework for patients to acquire their EMR and EHR data; DApp access logs were collected to assess patients’ behavior and investigate the acceptance of our personal authorization-controlled framework. Results: The constructed iWellChain Framework was installed in an affiliated teaching hospital and four collaborative clinics. The framework renders all medical referral processes automatic and paperless and facilitates efficient NHIA reimbursements. In addition, the blockchain-enabled iWellChain DApp was distributed for patients to access and control their EMR and EHR data. Analysis of 3 months (September to December 2018) of access logs revealed that patients were highly interested in acquiring health data, especially those of laboratory test reports. Conclusions: This study is a pioneer of blockchain applications for medical referral services, and the constructed framework and DApp have been applied practically in clinical settings. The iWellChain Framework has the scalability to deploy a blockchain environment effectively for health care facilities; the iWellChain DApp has potential for use with more patient-centered applications to collaborate with the industry and facilitate its adoption.

  • J Med Internet Res 2019;21(12):e13563

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  Peer-to-Peer Support and Online...

  Dec 3, 2019

  Exploring the Characteristics and Preferences for Online Support Groups: Mixed Method Study

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  Authors List:

  • Melanie Louise Plinsinga  
  • Manuela Besomi  
  • Liam Maclachlan  
  • Luciano Melo  
  • Sarah Robbins  
  • Belinda J Lawford  
  • Pek Ling Teo  
  • Kathryn Mills  
  • Jenny Setchell  
  • Thorlene Egerton  
  • Jillian Eyles  
  • Leanne Hall  
  • Rebecca Mellor  
  • David J Hunter  
  • Paul Hodges  
  • Bill Vicenzino  
  • Kim Bennell  

  Abstract:

  Background: Osteoarthritis (OA) is a chronic, disabling, and prevalent disorder. As there is no cure for OA, long-term self-management is paramount. Support groups (SGs) can facilitate self-management among people living with OA. Understanding preferences in design and features of SGs, including online SGs (OSGs), among people with OA can inform future development of SG interventions for this condition. Objective: The objective of this study was to investigate health care– and health information–seeking behavior, digital literacy, and preferences for the design of SGs in people with OA. The study also explored the perceived barriers and enablers to being involved in OSGs. Methods: An online survey study was conducted with a mixed method design (quantitative and qualitative). Individuals aged ≥45 years with knee, hip, or back pain for ≥3 months were recruited from an extant patient database of the Institute of Bone and Joint Research via email invitations. Quantitative elements of the survey included questions about sociodemographic background; health care– and health information–seeking behavior; digital literacy; and previous participation in, and preferences for, SGs and OSGs. Respondents were classified into 2 groups (Yes-SG and No-SG) based on previous participation or interest in an SG. Group differences were assessed with Chi-square tests (significance level set at 5%). Responses to free-text questions relating to preferences regarding OSG engagement were analyzed qualitatively using an inductive thematic analysis. Results: A total of 415 people with OA completed the survey (300/415, 72.3% females; 252/415, 61.0% lived in a major city). The Yes-SG group included 307 (307/415, 73.9%) participants. Between the Yes-SG and No-SG groups, there were no differences in sociodemographic characteristics, health care– and health information–seeking behavior, and digital literacy. An online format was preferred by 126/259 (48.7%) of the Yes-SG group. Trained peer facilitators were preferred, and trustworthiness of advice and information were highly prioritized by the respondents. Qualitative analysis for OSG participation revealed 5 main themes. Lack of time and motivation were the main barriers identified. The main enablers were related to accessibility, enjoyment of the experience, and the content of the discussed information. Conclusions: These findings highlight the preferences in design features and content of SGs and OSGs and may assist in the further development of such groups.

  • J Med Internet Res 2019;21(12):e15987

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  Mobile Health (mhealth)

  Dec 3, 2019

  Validation of Single Centre Pre-Mobile Atrial Fibrillation Apps for Continuous Monitoring of Atrial Fibrillation in a Real-World Setting: Pilot Cohort Study

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  Authors List:

  • Hui Zhang  
  • Jie Zhang  
  • Hong-Bao Li  
  • Yi-Xin Chen  
  • Bin Yang  
  • Yu-Tao Guo  
  • Yun-Dai Chen  

  Abstract:

  Background: Atrial fibrillation is the most common recurrent arrhythmia in clinical practice, with most clinical events occurring outside the hospital. Low detection and nonadherence to guidelines are the primary obstacles to atrial fibrillation management. Photoplethysmography is a novel technology developed for atrial fibrillation screening. However, there has been limited validation of photoplethysmography-based smart devices for the detection of atrial fibrillation and its underlying clinical factors impacting detection. Objective: This study aimed to explore the feasibility of photoplethysmography-based smart devices for the detection of atrial fibrillation in real-world settings. Methods: Subjects aged ≥18 years (n=361) were recruited from September 14 to October 16, 2018, for screening of atrial fibrillation with active measurement, initiated by the users, using photoplethysmography-based smart wearable devices (ie, a smart band or smart watches). Of these, 200 subjects were also automatically and periodically monitored for 14 days with a smart band. The baseline diagnosis of “suspected” atrial fibrillation was confirmed by electrocardiogram and physical examination. The sensitivity and accuracy of photoplethysmography-based smart devices for monitoring atrial fibrillation were evaluated. Results: A total of 2353 active measurement signals and 23,864 periodic measurement signals were recorded. Eleven subjects were confirmed to have persistent atrial fibrillation, and 20 were confirmed to have paroxysmal atrial fibrillation. Smart devices demonstrated >91% predictive ability for atrial fibrillation. The sensitivity and specificity of devices in detecting atrial fibrillation among active recording of the 361 subjects were 100% and about 99%, respectively. For subjects with persistent atrial fibrillation, 127 (97.0%) active measurements and 2240 (99.2%) periodic measurements were identified as atrial fibrillation by the algorithm. For subjects with paroxysmal atrial fibrillation, 36 (17%) active measurements and 717 (19.8%) periodic measurements were identified as atrial fibrillation by the algorithm. All persistent atrial fibrillation cases could be detected as “atrial fibrillation episodes” by the photoplethysmography algorithm on the first monitoring day, while 14 (70%) patients with paroxysmal atrial fibrillation demonstrated “atrial fibrillation episodes” within the first 6 days. The average time to detect paroxysmal atrial fibrillation was 2 days (interquartile range: 1.25-5.75) by active measurement and 1 day (interquartile range: 1.00-2.00) by periodic measurement (P=.10). The first detection time of atrial fibrillation burden of <50% per 24 hours was 4 days by active measurement and 2 days by periodic measurementThe first detection time of atrial fibrillation burden of >50% per 24 hours was 1 day for both active and periodic measurements (active measurement: P=.02, periodic measurement: P=.03). Conclusions: Photoplethysmography-based smart devices demonstrated good atrial fibrillation predictive ability in both active and periodic measurements. However, atrial fibrillation type could impact detection, resulting in increased monitoring time. Clinical Trial: Chinese Clinical Trial Registry of the International Clinical Trials Registry Platform of the World Health Organization ChiCTR-OOC-17014138; http://www.chictr.org.cn/showprojen.aspx?proj=24191.

  • J Med Internet Res 2019;21(12):e14909

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  e-Mental Health and Cyberpsychology

  Dec 3, 2019

  Comparison of YouthCHAT, an Electronic Composite Psychosocial Screener, With a Clinician Interview Assessment for Young People: Randomized Controlled Trial

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  Authors List:

  • Hiran Thabrew  
  • Simona D'Silva  
  • Margot Darragh  
  • Mary Goldfinch  
  • Jake Meads  
  • Felicity Goodyear-Smith  

  Abstract:

  Background: Psychosocial problems such as depression, anxiety, and substance abuse are common and burdensome in young people. In New Zealand, screening for such problems is undertaken routinely only with year 9 students in low-decile schools and opportunistically in pediatric settings using a nonvalidated and time-consuming clinician-administered Home, Education, Eating, Activities, Drugs and Alcohol, Sexuality, Suicide and Depression, Safety (HEEADSSS) interview. The Youth version, Case-finding and Help Assessment Tool (YouthCHAT) is a relatively new, locally developed, electronic tablet–based composite screener for identifying similar psychosocial issues to HEEADSSS Objective: This study aimed to compare the performance and acceptability of YouthCHAT with face-to-face HEEADSSS assessment among 13-year-old high school students. Methods: A counterbalanced randomized trial of YouthCHAT screening either before or after face-to-face HEEADSSS assessment was undertaken with 129 13-year-old New Zealand high school students of predominantly Māori and Pacific Island ethnicity. Main outcome measures were comparability of YouthCHAT and HEEADSSS completion times, detection rates, and acceptability to students and school nurses. Results: YouthCHAT screening was more than twice as fast as HEEADSSS assessment (mean 8.57 min vs mean 17.22 min; mean difference 8 min 25 seconds [range 6 min 20 seconds to 11 min 10 seconds]; P<.01) and detected more issues overall on comparable domains. For substance misuse and problems at home, both instruments were roughly comparable. YouthCHAT detected significantly more problems with eating or body image perception (70/110, 63.6% vs 25/110, 22.7%; P<.01), sexual health (24/110, 21.8% vs 10/110, 9.1%; P=.01), safety (65/110, 59.1% vs 17/110, 15.5%; P<.01), and physical inactivity (43/110, 39.1% vs 21/110, 19.1%; P<.01). HEEADSSS had a greater rate of detection for a broader set of mental health issues (30/110, 27%) than YouthCHAT (11/110, 10%; P=.001), which only assessed clinically relevant anxiety and depression. Assessment order made no significant difference to the duration of assessment or to the rates of YouthCHAT-detected positive screens for anxiety and depression. There were no significant differences in student acceptability survey results between the two assessments. Nurses identified that students found YouthCHAT easy to answer and that it helped students answer face-to-face questions, especially those of a sensitive nature. Difficulties encountered with YouthCHAT included occasional Wi-Fi connectivity and student literacy issues. Conclusions: This study provides preliminary evidence regarding the shorter administration time, detection rates, and acceptability of YouthCHAT as a school-based psychosocial screener for young people. Although further research is needed to confirm its effectiveness in other age and ethnic groups, YouthCHAT shows promise for aiding earlier identification and treatment of common psychosocial problems in young people, including possible use as part of an annual, school-based, holistic health check. Clinical Trial: Australian New Zealand Clinical Trials Network Registry (ACTRN) ACTRN12616001243404p; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371422.

  • J Med Internet Res 2019;21(12):e13911

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  New Methods

  Dec 2, 2019

  QardioArm Upper Arm Blood Pressure Monitor Against Omron M3 Upper Arm Blood Pressure Monitor in Patients With Chronic Kidney Disease: A Validation Study...

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  Authors List:

  • Victoria Mazoteras-Pardo  
  • Ricardo Becerro-De-Bengoa-Vallejo  
  • Marta Elena Losa-Iglesias  
  • Daniel López-López  
  • David Rodríguez-Sanz  
  • Israel Casado-Hernández  
  • Cesar Calvo-Lobo  
  • Patricia Palomo-López  

  Abstract:

  Background: Hypertension is considered as a main risk factor for chronic kidney disease development and progression. Thus, the control and evaluation of this disease with new software and devices are especially important in patients who suffer from chronic kidney disease. Objective: This study aimed to validate the QardioArm mobile device, which is used for blood pressure (BP) self-measurement in patients who suffer from chronic kidney disease, by following the European Society of Hypertension International Protocol 2 (ESH-IP2) guidelines. Methods: A validation study was carried out by following the ESH-IP2 guidelines. A sample of 33 patients with chronic kidney disease self-measured their BP by using the QardioArm and Omron M3 Intellisense devices. Heart rate (HR), diastolic BP, and systolic BP were measured. Results: The QardioArm fulfilled the ESH-IP2 validation criteria in patients who suffered from chronic kidney disease. Conclusions: Thus, this study is considered as the first validation using a wireless upper arm oscillometric device connected to an app to measure BP and HR meeting the ESH-IP2 requirements in patients who suffer from chronic kidney disease. New validation studies following the ESH-IP2 guidelines should be carried out using different BP devices in patients with specific diseases.

  • J Med Internet Res 2019;21(12):e14686

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  Recruitment of Research Participants

  Nov 29, 2019

  Cost and Effectiveness of Using Facebook Advertising to Recruit Young Women for Research: PREFER (Contraceptive Preferences Study) Experience

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  • Edwina McCarthy  
  • Danielle Mazza  

  Abstract:

  Background: Social media is a popular and convenient method for communicating on the Web. The most commonly used social networking website, Facebook, is increasingly being used as a tool for recruiting research participants because of its large user base and its ability to target advertisements on the basis of Facebook users’ information. Objective: We evaluated the cost and effectiveness of using Facebook to recruit young women into a Web-based intervention study (PREFER). The PREFER study aimed to determine whether an educational video could increase preference for and uptake of long-acting reversible contraception (LARC). Methods: We placed an advertisement on Facebook over a 19-day period from December 2017 to January 2018, inviting 16- to 25-year-old women from Australia to participate in a Web-based study about contraception. Those who clicked on the advertisement were directed to project information, and their eligibility was determined by using a screening survey. Results: Our Facebook advertisement delivered 130,129 impressions, resulting in over 2000 clicks at an overall cost of Aus $918 (Aus $0.44 per click). Web-based project information was accessed by 493 women. Of these, 462 women completed the screening survey, and 437 (437/463, 95%) women were eligible. A total of 322 young women participated in Surveys 1 and 2 (74% response rate), and 284 women participated in Survey 3 (88% retention rate), with an advertising cost of Aus $2.85 per consenting participant. Conclusions: Facebook proved to be a quick, effective, and cost-efficient tool for recruiting young Australian women into a study that was investigating contraceptive preferences. However, Web-based recruitment may result in sociodemographic biases. Further research is required to evaluate whether Facebook is suitable for recruiting older study populations.

  • J Med Internet Res 2019;21(11):e15869

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