Effect of Electronic Screening With Personalized Feedback on Adolescent Health Risk Behaviors in a Primary Care Setting: A Randomized Clinical Trial

Accelerating Innovation in Primary Care to Support Adolescent Health Discussions

BACKGROUND AND OBJECTIVES

Adolescent strengths and risks are not routinely captured in systematized and actionable ways in pediatric primary care. To address this problem, we developed a comprehensive adolescent health questionnaire (AHQ) integrated within the electronic health record and evaluated the AHQ's impact on collection of information on prioritized health-related domains.

METHODS

We developed and pilot tested the AHQ. We then scaled and assessed the AHQ's impact on data collection. AHQ development used innovation methods and measured feasibility and acceptability outcomes. Scaling and postscaling outcomes included Reach, Effectiveness, Adoption, Implementation, Maintenance and Sustainability measures: Reach (total questionnaires completed), Effectiveness (capture of key information across health domains pre- vs post-AHQ scaling), Adoption (proportion of practices that adopted the AHQ), Implementation (proportion of eligible adolescents who completed the AHQ), and Maintenance (monthly completion rates).

RESULTS

AHQ development led to a tool that was feasible and acceptable for use. During scaling (October 2020-December 2021), 22 147 questionnaires were completed by 20 749 unique adolescents aged 13 to 21 years at their preventive visit. Comparing pre- versus post-AHQ scaling data, use of the AHQ increased collection of information across domains, especially for strengths, gun safety, substance use, sexual activity, sexual orientation, and gender identity, from ranges of 0%-25% to 92%-95%. All 31 practices adopted the AHQ with completion at 88.7% of visits (n = 24 968). Two years postscaling, completion rates were >91% per month.

CONCLUSIONS

We successfully developed, scaled, and maintained an AHQ in a widely-used electronic health record system, a model for improving adolescent care and foundation for developing future interventions.

Adolescent Perceptions of Adult-Mediated Healthcare Communication

Adolescence is a time of rapid growth and development and may be accompanied by increased risk-taking behaviors and independence. Youth are particularly at risk for high levels of stress, decreased physical activity, unsafe sexual activity, abuse, depression, and suicide. Considering the unique health risks adolescents face, healthcare service access and utilization can play a pivotal role in promoting positive long term health outcomes throughout adulthood. At the same time, adolescents must often rely on parents/caregivers to mediate their healthcare access. Understanding how adolescents perceive adult interactions within healthcare is important for developing interventions that increase youth access to healthcare. We found that adolescents perceived adult-mediated healthcare experiences as either supportive (Subthemes: Recognition Builds Trust and Validation) or unsupportive (Subthemes: Adult-Focused Communication and Lack of Privacy). Based on our findings, we argue that prevention-focused interventions should include communication-based strategies. We discuss social work and healthcare practice and policy implications of these findings.

Associations Between Sleep Duration and Positive Mental Health Screens During Adolescent Preventive Visits in Primary Care

OBJECTIVE

The purpose of this paper was to understand associations between low sleep duration (<8.ßhours) and positive mental health screens among adolescents (ages 13...18) seen for preventive visits in primary care.

METHODS

Data were from two randomized controlled trials testing the efficacy of an electronic health risk behavior screening and feedback tool for adolescent preventive visits. Participants (n.ß=.ß601) completed screeners at baseline, 3 months, and 6 months which included sleep duration in hours and the Patient Health Questionnaire 9 and Generalized Anxiety Disorder 7 screeners for depression and anxiety, respectively. Main analyses included adjusted logistic regressions testing associations between low sleep duration and positive mental health screens.

RESULTS

Adjusted models showed that low sleep duration was associated with significantly greater odds of a positive depression screen (OR.ß=.ß1.58, 95% CI: 1.06...2.37) but not with a positive anxiety screen or co-occurring positive depression and anxiety screens. However, follow-up analyses indicated an interaction between sleep duration and anxiety in the association with a positive depression screen, such that the association between low sleep and a positive depression screen was driven by those who did not screen positive for anxiety.

CONCLUSIONS

As pediatric primary care guidelines for sleep continue to evolve, further research, training, and support for sleep screening are warranted to ensure effective early intervention for sleep and mental health problems during adolescence.

Sexual Health and Relationship Abuse Interventions in Pediatric Primary Care: A Systematic Review

PURPOSE

Supporting adolescents in developing healthy relationships and promoting sexual and reproductive health (SRH) is an important responsibility of pediatric primary care providers. Less is known about evidence-based interventions in pediatric settings focused on healthy relationships and SRH.

METHODS

We conducted a systematic review to describe SRH and healthy relationship/adolescent relationship abuse (ARA) interventions for pediatric primary care over the past 20 years. Eligible articles were original research on an SRH-focused or ARA-focused intervention, conducted in-person within pediatric primary care or school-based health centers specifically for middle or high school-aged adolescents. Data abstracted from included articles included intervention description, content, delivery, evaluation design, and effectiveness of primary outcomes. Heterogeneous outcomes and evidence levels made conducting a meta-analysis infeasible.

RESULTS

Nineteen studies described 17 interventions targeting a variety of SRH and ARA topics (e.g., sexually transmitted infections, contraception, ARA). Interventions largely focused on screening/counseling adolescents (89%). Interventions generally were reported as being effective in changing adolescent health or practice-level outcomes.

DISCUSSION

This review provides preliminary evidence that SRH and ARA interventions in pediatric primary care settings can be effective in promoting adolescent health. Future work should consider ARA-specific prevention interventions, including parents in interventions, and strategies for implementation, dissemination, and scaling.

Parental experience of an early developmental surveillance programme for autism within Australian general practice: a qualitative study

OBJECTIVES

Implementing support and services early in the life course has been shown to promote positive developmental outcomes for children at high likelihood of developmental conditions including autism. This study examined parents'/caregivers' experiences and perceptions about a digital developmental surveillance pathway for autism, the autism surveillance pathway (ASP), and usual care, the surveillance as usual (SaU) pathway, in the primary healthcare general practice setting.

DESIGN

This qualitative study involves using a convenience selection process of the full sample of parents/caregivers that participated in the main programme, 'General Practice Surveillance for Autism', a cluster-randomised controlled trial study. All interviews were audio-recorded, transcribed and coded using NVivo V.12 software. An inductive thematic interpretive approach was adopted and data were analysed thematically.

PARTICIPANTS

Twelve parents/caregivers of children with or without a developmental condition/autism (who participated in the main programme) in South Western Sydney and Melbourne were interviewed.

SETTINGS

All interviews were completed over the phone.

RESULTS

There were seven major themes and 20 subthemes that included positive experiences, such as pre-existing patient-doctor relationships and their perceptions on the importance of knowing and accessing early support/services. Barriers or challenges experienced while using the SaU pathway included long waiting periods, poor communication and lack of action plans, complexity associated with navigating the healthcare system and lack of understanding by general practitioners (GPs). Common suggestions for improvement included greater awareness/education for parents/carers and the availability of accessible resources on child development for parents/caregivers.

CONCLUSION

The findings support the use of digital screening tools for developmental surveillance, including for autism, using opportunistic contacts in the general practice setting.

TRIAL REGISTRATION NUMBER

ANZCTR (ACTRN12619001200178).

Electronic Screening for Adolescent Risk Behaviors in the Emergency Department: A Randomized Controlled Trial

Introduction: In this study we aimed to assess the impact of an electronic health assessment with individualized feedback for risk behaviors in adolescents seeking care in a pediatric emergency department (ED). Methods: We conducted a randomized control trial using a tablet-based screening program with a study population of adolescents in a busy pediatric ED. The intervention group received the screening program with individualized feedback. The control group received the screening program without feedback. All participants received one-day and three-month follow-up surveys to assess behaviors and attitudes toward health behaviors. Results: A total of 296 subjects were enrolled and randomized. There was no difference in changes in risky behaviors between the control and experimental groups. A higher proportion of participants in the intervention groups reported that the screener changed the way they thought about their health at one-day follow-up (27.0%, 36/133) compared to the control group (15.5%, 20/129, P = .02). Conclusion: This study successfully tested a multivariable electronic health screener in a real-world setting of a busy pediatric ED. The tool did not significantly change risky health behaviors in the adolescent population screened. However, our finding that the intervention changed adolescents’ perceptions of their health opens a door to the continued development of electronic interventions to screen for and target risk behaviors in adolescents in the ED setting.

Provider Use of Time Alone With Adolescents: Differences by Health Concern

PURPOSE

To examine associations between reports of sensitive health behaviors and the provision of time alone by a clinician during adolescent well visits.

METHODS

Data were collected from 547 adolescents who completed a well visit at one of eight clinics. Adjusted mixed logistic regression was used to examine whether reports of sexual behavior, substance use, disordered eating, mental health concerns, and demographic characteristics were associated with time alone.

RESULTS

Sexual behavior was found to be significantly associated with time alone, while substance use, disordered eating, a positive depression screen, and suicidal ideation were not. Older adolescents and males were more likely to report time alone, while race/ethnicity had no association with time alone.

DISCUSSION

Clinicians may be prioritizing time alone for behavioral concerns differently than for other sensitive behaviors.

Web-Based Risk Prediction Tool for an Individual's Risk of HIV and Sexually Transmitted Infections Using Machine Learning Algorithms: Development and External Validation Study

Background

HIV and sexually transmitted infections (STIs) are major global public health concerns. Over 1 million curable STIs occur every day among people aged 15 years to 49 years worldwide. Insufficient testing or screening substantially impedes the elimination of HIV and STI transmission.

Objective

The aim of our study was to develop an HIV and STI risk prediction tool using machine learning algorithms.

Methods

We used clinic consultations that tested for HIV and STIs at the Melbourne Sexual Health Centre between March 2, 2015, and December 31, 2018, as the development data set (training and testing data set). We also used 2 external validation data sets, including data from 2019 as external “validation data 1” and data from January 2020 and January 2021 as external “validation data 2.” We developed 34 machine learning models to assess the risk of acquiring HIV, syphilis, gonorrhea, and chlamydia. We created an online tool to generate an individual’s risk of HIV or an STI.

Results

The important predictors for HIV and STI risk were gender, age, men who reported having sex with men, number of casual sexual partners, and condom use. Our machine learning–based risk prediction tool, named MySTIRisk, performed at an acceptable or excellent level on testing data sets (area under the curve [AUC] for HIV=0.78; AUC for syphilis=0.84; AUC for gonorrhea=0.78; AUC for chlamydia=0.70) and had stable performance on both external validation data from 2019 (AUC for HIV=0.79; AUC for syphilis=0.85; AUC for gonorrhea=0.81; AUC for chlamydia=0.69) and data from 2020-2021 (AUC for HIV=0.71; AUC for syphilis=0.84; AUC for gonorrhea=0.79; AUC for chlamydia=0.69).

Conclusions

Our web-based risk prediction tool could accurately predict the risk of HIV and STIs for clinic attendees using simple self-reported questions. MySTIRisk could serve as an HIV and STI screening tool on clinic websites or digital health platforms to encourage individuals at risk of HIV or an STI to be tested or start HIV pre-exposure prophylaxis. The public can use this tool to assess their risk and then decide if they would attend a clinic for testing. Clinicians or public health workers can use this tool to identify high-risk individuals for further interventions.

Disparities in Electronic Screening for Cancer-Related Psychosocial Distress May Promote Systemic Barriers to Quality Oncologic Care

BACKGROUND

Screening for cancer-related psychosocial distress is an integral yet laborious component of quality oncologic care. Automated preappointment screening through online patient portals (Portal, MyChart) is efficient compared with paper-based screening, but unstudied. We hypothesized that patient access to and engagement with EHR-based screening would positively correlate with factors associated with digital literacy (eg, age, socioeconomic status).

METHODS

Screening-eligible oncology patients seen at our Comprehensive Cancer Center from 2014 through 2019 were identified. Patients with active Portals were offered distress screening. Portal and screening participation were analyzed via multivariable logistic regression. Household income in US dollars and educational attainment were estimated utilizing zip code and census data.

RESULTS

Of 17,982 patients, 10,279 (57%) had active Portals and were offered distress screening. On multivariable analysis, older age (odds ratio [OR], 0.97/year; P<.001); male gender (OR, 0.89; P<.001); Black (OR, 0.47; P<.001), Hawaiian/Pacific Islander (OR, 1.54; P=.007), and Native American/Alaskan Native race (OR, 0.67; P=.04); Hispanic ethnicity (OR, 0.76; P<.001); and Medicare (OR, 0.59; P<.001), Veteran's Affairs/military (OR, 0.09; P<.01), Medicaid (OR, 0.34; P<.001), or no insurance coverage (OR, 0.57; P<.001) were independently associated with lower odds of being offered distress screening; increasing income (OR, 1.05/$10,000; P<.001) and educational attainment (OR, 1.03/percent likelihood of bachelor's degree or higher; P<.001) were independently associated with higher odds. In patients offered electronic screening, participation rate was 36.6% (n=3,758). Higher educational attainment (OR, 1.01; P=.03) was independently associated with participation, whereas Black race (OR, 0.58; P=.004), Hispanic ethnicity (OR, 0.68; P=.01), non-English primary language (OR, 0.67; P=.03), and Medicaid insurance (OR, 0.78; P<.001) were independently associated with nonparticipation.

CONCLUSIONS

Electronic portal-based screening for cancer-related psychosocial distress leads to underscreening of vulnerable populations. At institutions using electronic distress screening workflows, supplemental screening for patients unable or unwilling to engage with electronic screening is recommended to ensure efficient yet equal-opportunity distress screening.

Electronic Screening, Feedback, and Clinician Training in Adolescent Primary Care: A Stepped-Wedge Cluster Randomized Trial

PURPOSE

The aim of this study is to test the effects of an electronic screening and feedback tool and training for primary care clinicians on care and adolescent health behaviors.

METHODS

We conducted a stepped-wedge cluster randomized trial with six clinics randomly assigned to sequential crossover from control to intervention periods with clinician training between periods. Adolescents (ages 13-18) with a well visit during the control periods (n = 135) received usual care, while adolescents during the intervention periods (n = 167) received the electronic screening and feedback tool prior to their well visit, with results sent to their clinicians. Adolescents completed surveys at baseline, 1 day, 3 months, 6 months, and 12 months. Linear mixed effects models were used to examine associations between outcomes and treatment, controlling for time as a fixed effect and clinic as a random effect. All analyses employed intent-to-treat analyses and utilized multiple imputations for missing data.

RESULTS

Adolescents who received the intervention had a higher rate of counseling for their endorsed risk behaviors during the well visit (45% vs. 33%, Wald's T = 2.29, p = .02). There were no significant intervention effects on adolescent satisfaction with the clinician or perception of patient centeredness. The intervention was associated with a small but statistically significant reduction in overall risk score relative to control at 3 months (-.63, 95% confidence interval [-1.07, -.19], Cohen's d = .21), but not at 6 or 12 months.

CONCLUSIONS

The results suggest that electronic screening and feedback may be associated with small reductions in risk behaviors at 3 months but that changes do not persist at longer term follow-up.

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.

Addressing adolescent substance use in an urban pediatric federally qualified health center

OBJECTIVE

Screening, brief intervention, and referral to treatment (SBIRT) is a systematic approach to identification and intervention for individuals at risk for substance use disorders. Prior research indicates that SBIRT is underutilized in pediatric primary care. Yet few studies have examined procedures for identifying and addressing substance use in clinics that serve publicly insured adolescents (i.e., federally qualified health centers [FQHC]). This descriptive, multi-method study assessed adolescent substance use frequency and provider perspectives to inform SBIRT implementation in an urban pediatric FQHC in California.

METHODS

A medical record review assessed substance use frequency and correlates among publicly insured adolescents aged 12-17 years who completed a well-child visit in pediatric primary care between 2014 and 2017 (N = 2252). Data on substance use (i.e., alcohol, illicit drugs, and tobacco) were from a health assessment tool mandated by Medicaid. Semi-structured interviews with 12 providers (i.e., pediatricians, nurse practitioners, behavioral health clinicians) elicited information about the current clinic workflow for adolescent substance use and barriers and facilitators to SBIRT implementation.

RESULTS

Of 1588 adolescents who completed the assessment (70.5%), 6.8% reported current substance use. Self-reported use was highest among non-Hispanic Black (15.2%) adolescents and those with co-occurring depressive symptoms (14.4%). Provider-reported challenges to implementing SBIRT included a lack of space for confidential screening and a lack of referral options. Providers favored implementing technology-based tools such as tablets for adolescent pre-visit screening and electronic medical record-based decision support to facilitate brief intervention and treatment referrals.

CONCLUSIONS

This study fills a substantial research gap by examining factors that impede and support SBIRT implementation in pediatric FQHC settings. Successful SBIRT implementation in these settings could significantly reduce the unmet need for substance use treatment among uninsured and publicly insured adolescents. Pediatric primary care and urgent care providers perceived SBIRT to be feasible, and health information and digital technologies may facilitate the integration of SBIRT into clinic workflows. Ensuring confidentiality for screening and expanding referral options for adolescents in need of community-based addiction treatment are also critical to increasing SBIRT uptake.

Routine provision of feedback from patient-reported outcome measurements to healthcare providers and patients in clinical practice

BACKGROUND

Patient-reported outcomes measures (PROMs) assess a patient's subjective appraisal of health outcomes from their own perspective. Despite hypothesised benefits that feedback  on PROMs can support decision-making in clinical practice and improve outcomes, there is uncertainty surrounding the effectiveness of PROMs feedback.

OBJECTIVES

To assess the effects of PROMs feedback to patients, or healthcare workers, or both on patient-reported health outcomes and processes of care.

SEARCH METHODS

We searched MEDLINE, Embase, CENTRAL, two other databases and two clinical trial registries on 5 October 2020. We searched grey literature and consulted experts in the field.

SELECTION CRITERIA

Two review authors independently screened and selected studies for inclusion. We included randomised trials directly comparing the effects on outcomes and processes of care of PROMs feedback to healthcare professionals and patients, or both with the impact of not providing such information.

DATA COLLECTION AND ANALYSIS

Two groups of two authors independently extracted data from the included studies and evaluated study quality. We followed standard methodological procedures expected by Cochrane and EPOC. We used the GRADE approach to assess the certainty of the evidence. We conducted meta-analyses of the results where possible.

MAIN RESULTS

We identified 116 randomised trials which assessed the effectiveness of PROMs feedback in improving processes or outcomes of care, or both in a broad range of disciplines including psychiatry, primary care, and oncology. Studies were conducted across diverse ambulatory primary and secondary care settings in North America, Europe and Australasia. A total of 49,785 patients were included across all the studies. The certainty of the evidence varied between very low and moderate. Many of the studies included in the review were at risk of performance and detection bias. The evidence suggests moderate certainty that PROMs feedback probably improves quality of life (standardised mean difference (SMD) 0.15, 95% confidence interval (CI) 0.05 to 0.26; 11 studies; 2687 participants), and leads to an increase in patient-physician communication (SMD 0.36, 95% CI 0.21 to 0.52; 5 studies; 658 participants), diagnosis and notation (risk ratio (RR) 1.73, 95% CI 1.44 to 2.08; 21 studies; 7223 participants), and disease control (RR 1.25, 95% CI 1.10 to 1.41; 14 studies; 2806 participants). The intervention probably makes little or no difference for general health perceptions (SMD 0.04, 95% CI -0.17 to 0.24; 2 studies, 552 participants; low-certainty evidence), social functioning (SMD 0.02, 95% CI -0.06 to 0.09; 15 studies; 2632 participants; moderate-certainty evidence), and pain (SMD 0.00, 95% CI -0.09 to 0.08; 9 studies; 2386 participants; moderate-certainty evidence). We are uncertain about the effect of PROMs feedback on physical functioning (14 studies; 2788 participants) and mental functioning (34 studies; 7782 participants), as well as fatigue (4 studies; 741 participants), as the certainty of the evidence was very low. We did not find studies reporting on adverse effects defined as distress following or related to PROM completion.

AUTHORS' CONCLUSIONS

PROM feedback probably produces moderate improvements in communication between healthcare professionals and patients as well as in diagnosis and notation, and disease control, and small improvements to quality of life. Our confidence in the effects is limited by the risk of bias, heterogeneity and small number of trials conducted to assess outcomes of interest. It is unclear whether   many of these improvements are clinically meaningful or sustainable in the long term. There is a need for more high-quality studies in this area, particularly studies which employ cluster designs and utilise techniques to maintain allocation concealment.

Association between self-control and health risk behaviors: a cross-sectional study with 9th grade adolescents in São Paulo

BACKGROUND

Self-control (SC) has been consistently found associated with diverse health risk behaviors (HRBs), but little research refers to low- and middle-income countries. Furthermore, there is evidence that some HRBs tend to aggregate, however studies with the specific purpose of addressing the relation between SC and multiple health risk behaviors (MHRBs) are rare. The objective of this study is to analyze these associations and provide evidence to help filling these gaps.

METHODS

A sample of 2106 9th grade students from the city of São Paulo responded a self-administered questionnaire in 2017. We tested the association of SC measured as an ordinal variable with four levels (higher, high, medium and low) with six HRBs (binge drinking, marijuana use, smoking, high consumption of ultra-processed food, sedentary behavior and bullying perpetration), in both separated and aggregated forms (MHRBs), controlling for potential confounders. Binary logistic regression was used to test the association between exposure (SC) and single outcomes. In order to analyze the association of SC with MHRBs, multinomial logistic regression was employed.

RESULTS

SC was associated with five of six HRBs investigated and with MHRBs. The effect size of the association of SC and MHRBs increased in a steep pattern with accumulation of more HRBs.

CONCLUSION

Low self-control is associated with most HRBs investigated and the magnitude of the association increases when more than two or three HRBs are accumulated. There seems to be a group of adolescents in a position of pronounced vulnerability for MHRBs. This should be considered when designing public policy and prevention programs. In contexts of limited or scarce resources and public funds, interventions focusing the most vulnerable groups, instead of universal interventions, should be considered.

Determinants of acceptance of patients with heart failure and their informal caregivers regarding an interactive decision-making system: a qualitative study

OBJECTIVE

Heart failure is a growing challenge to healthcare systems worldwide. Technological solutions have the potential to improve the health of patients and help to reduce costs. Acceptability is a prerequisite for the use and a successful implementation of new disruptive technologies. This qualitative study aimed to explore determinants that influence the acceptance of patients and their informal caregivers regarding a patient-oriented digital decision-making solution-a doctor-at-home system.

DESIGN

We applied a semistructured design using an interview guide that was based on a theoretical framework influenced by established acceptance theories. The interviews were analysed using a content analysis.

SETTING

A multicentred study in four European countries.

PARTICIPANTS

We interviewed 49 patients and 33 of their informal caregivers. Most of the patients were male (76%) and aged between 60 and 69 years (43%). Informal caregivers were mostly female (85%). The majority of patients (55%) suffered from heart failure with mild symptoms.

RESULTS

Four main categories emerged from the data: needs and expectations, preferences regarding the care process, perceived risk and trust. Participants expressed clear wishes and expectations regarding a doctor-at-home, especially the need for reassurance and support in the management of heart failure. They were receptive to changes to the current healthcare processes. However, trust was identified as an important basis for acceptance and use. Finally, perceived risk for decision-making errors is a crucial topic in need of attention.

CONCLUSION

Patients and informal caregivers see clear benefits of digitalisation in healthcare. They perceive that an interactive decision-making system for patients could empower and enable effective self-care. Our results provide important insights for development processes of patient-centred decision-making systems by identifying facilitators and barriers for acceptance. Further research is needed, especially regarding the influence and mitigation of patients and informal caregivers' perceived risks.

Electronic Health Risk Behavior Screening With Integrated Feedback Among Adolescents in Primary Care: Randomized Controlled Trial

BACKGROUND

Health risk behaviors are the most common sources of morbidity among adolescents. Adolescent health guidelines (Guidelines for Preventive Services by the AMA and Bright Futures by the Maternal Child Health Bureau) recommend screening and counseling, but the implementation is inconsistent.

OBJECTIVE

This study aims to test the efficacy of electronic risk behavior screening with integrated patient-facing feedback on the delivery of adolescent-reported clinician counseling and risk behaviors over time.

METHODS

This was a randomized controlled trial comparing an electronic tool to usual care in five pediatric clinics in the Pacific Northwest. A total of 300 participants aged 13-18 years who attended a well-care visit between September 30, 2016, and January 12, 2018, were included. Adolescents were randomized after consent by employing a 1:1 balanced age, sex, and clinic stratified schema with 150 adolescents in the intervention group and 150 in the control group. Intervention adolescents received electronic screening with integrated feedback, and the clinicians received a summary report of the results. Control adolescents received usual care. Outcomes, assessed via online survey methods, included adolescent-reported receipt of counseling during the visit (measured a day after the visit) and health risk behavior change (measured at 3 and 6 months after the visit).

RESULTS

Of the original 300 participants, 94% (n=282), 94.3% (n=283), and 94.6% (n=284) completed follow-up surveys at 1 day, 3 months, and 6 months, respectively, with similar levels of attrition across study arms. The mean risk behavior score at baseline was 2.86 (SD 2.33) for intervention adolescents and 3.10 (SD 2.52) for control adolescents (score potential range 0-21). After adjusting for age, gender, and random effect of the clinic, intervention adolescents were 36% more likely to report having received counseling for endorsed risk behaviors than control adolescents (adjusted rate ratio 1.36, 95% CI 1.04 to 1.78) 1 day after the well-care visit. Both the intervention and control groups reported decreased risk behaviors at the 3- and 6-month follow-up assessments, with no significant group differences in risk behavior scores at either time point (3-month group difference: β=-.15, 95% CI -0.57 to -0.01, P=.05; 6-month group difference: β=-.12, 95% CI -0.29 to 0.52, P=.57).

CONCLUSIONS

Although electronic health screening with integrated feedback improves the delivery of counseling by clinicians, the impact on risk behaviors is modest and, in this study, not significantly different from usual care. More research is needed to identify effective strategies to reduce risk in the context of well-care.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02882919; https://clinicaltrials.gov/ct2/show/NCT02882919.

Previsit Multidomain Psychosocial Screening Tools for Adolescents and Young Adults: A Systematic Review

Adolescence and young adulthood constitute a period when exploratory behaviors can evolve into risky behaviors. Most causes of adolescent ill health are preventable; therefore, it is a priority to detect them early before they turn into health problems. Previsit multidomain psychosocial screening tools are used by professionals to detect and prioritize potentially problematic issues. In conjunction with appropriate clinician training, these tools have improved clinician screening rates in several areas of adolescent health. This article reviews existing multidomain previsit psychosocial screening tools developed in the 21st century and describes their characteristics using a systematic methodology. We reviewed 10,623 records to identify 15 different tools in use since 2000 and described their characteristics. Results show that all tools were developed in high-income countries. The tools provide sufficient coverage of many psychosocial domains relevant to young people's health. However, some psychosocial domains such as screen use and strengths are seldomly addressed. Furthermore, the tools rarely focus on young adults as a target population. Future research should assess the effectiveness, acceptability, and psychometric properties of validated psychosocial screening tools and examine how to expand their use in low- and middle-income countries.