Implementation of a Substance Use Recovery Support Mobile Phone App in Community Settings: Qualitative Study of Clinician and Staff Perspectives of Facilitators and Barriers.

BACKGROUND: Research supports the effectiveness of technology-based treatment approaches for substance use disorders. These approaches have the potential to broaden the reach of evidence-based care. Yet, there is limited understanding of factors associated with implementation of technology-based care approaches in different service settings. OBJECTIVES: In this study, we explored provider and staff perceptions of facilitators and barriers to implementation of a mobile phone substance use recovery support app with clients in 4 service settings. METHODS: Interviews were conducted with leadership and provider stakeholders (N=12) from 4 agencies in the first year of an implementation trial of the mobile phone app. We used the Consolidated Framework for Implementation Research as the conceptual foundation for identifying facilitators and barriers to implementation. RESULTS: Implementation process facilitators included careful planning of all aspects of implementation before launch, engaging a dedicated team to implement and foster motivation, working collaboratively with the app development team to address technical barriers and adapt the app to meet client and agency needs, and consistently reviewing app usage data to inform progress. Implementation support strategies included training all staff to promote organization awareness about the recovery support app and emphasize its priority as a clinical care tool, encouraging clients to try the technology before committing to use, scaling rollout to clients, setting clear expectations with clients about use of the app, and using peer coaches and consistent client-centered messaging to promote engagement. Perceived compatibility of the mobile phone app with agency and client needs and readiness to implement emerged as salient agency-level implementation facilitators. Facilitating characteristics of the recovery support app itself included evidence of its impact for recovery support, perceived relative advantage of the app over usual care, the ability to adapt the app to improve client use, and its ease of use. The mobile phone itself was a strong motivation for clients to opt in to use the app in settings that provided phones. App access was limited in settings that did not provide phones owing to lack of mobile phone ownership or incompatibility of the app with clients' mobile phones. Individual differences in technology literacy and provider beliefs about substance use care either facilitated or challenged implementation. Awareness of patient needs and resources facilitated implementation, whereas external policies and regulations regarding technology use introduced barriers to implementation. CONCLUSIONS: The conceptually grounded facilitators and barriers identified in this study can guide systematic targeting of strategies to improve implementation of mobile phone interventions in community treatment settings. Results also inform the design of technology-based therapeutic tools. This study highlights directions for research with regard to implementation of technology-based behavioral health care approaches.

Using the NIATx Model to Implement User-Centered Design of Technology for Older Adults.

What models can effectively guide the creation of eHealth and mHealth technologies? This paper describes the use of the NIATx model as a framework for the user-centered design of a new technology for older adults. The NIATx model is a simple framework of process improvement based on the following principles derived from an analysis of decades of research from various industries about why some projects fail and others succeed: (1) Understand and involve the customer; (2) fix key problems; (3) pick an influential change leader; (4) get ideas from outside the field; (5) use rapid-cycle testing. This paper describes the use of these principles in technology development, the strengths and challenges of using this approach in this context, and lessons learned from the process. Overall, the NIATx model enabled us to produce a user-focused technology that the anecdotal evidence available so far suggests is engaging and useful to older adults. The first and fourth principles were especially important in developing the technology; the fourth proved the most challenging to use.

Successful Organizational Strategies to Sustain Use of A-CHESS: A Mobile Intervention for Individuals With Alcohol Use Disorders.

BACKGROUND: Mobile health (mHealth) services are growing in importance in health care research with the advancement of wireless networks, tablets, and mobile phone technologies. These technologies offer a wide range of applications that cover the spectrum of health care delivery. Although preliminary experiments in mHealth demonstrate promising results, more robust real-world evidence is needed for widespread adoption and sustainment of these technologies. OBJECTIVE: Our aim was to identify the problems/challenges associated with sustained use of an mHealth addiction recovery support app and to determine strategies used by agencies that successfully sustained client use of A-CHESS. METHODS: Qualitative inquiry assessed staff perceptions about organizational attributes and strategies associated with sustained use of the mobile app, A-CHESS. A total of 73 interviews of clinicians and administrators were conducted. The initial interviews (n=36) occurred at the implementation of A-CHESS. Follow-up interviews (n=37) occurred approximately 12 and 24 months later. A coding scheme was developed and Multiuser NVivo was used to manage and analyze the blinded interview data. RESULTS: Successful strategies used by treatment providers to sustain A-CHESS included (1) strong leadership support, (2) use of client feedback reports to follow up on non-engaged clients, (3) identify passionate staff and incorporate A-CHESS discussions in weekly meetings, (4) develop A-CHESS guidelines related to client use, (5) establish internal work groups to engage clients, and (6) establish a financial strategy to sustain A-CHESS use. The study also identified attributes of A-CHESS that enhanced as well as inhibited its sustainability. CONCLUSIONS: Mobile apps can play an important role in health care delivery. However, providers will need to develop strategies for engaging both staff and patients in ongoing use of the apps. They will also need to rework business processes to accommodate the changes in communication frequency and style, learn to use app data for decision making, and identify financing mechanisms for supporting these changes.

Communicating advanced cancer patients' symptoms via the Internet: a pooled analysis of two randomized trials examining caregiver preparedness, physical burden, and negative mood.

BACKGROUND: Using available communication technologies, clinicians may offer timely support to family caregivers in managing symptoms in patients with advanced cancer at home. AIM: To assess the effects of an online symptom reporting system on caregiver preparedness, physical burden, and negative mood. DESIGN: A pooled analysis of two randomized trials (NCT00214162 and NCT00365963) was conducted to compare caregiver outcomes at 6 and 12 months after intervention between two randomized, unblinded groups using General Linear Mixed Modeling. Caregivers in one group (Comprehensive Health Enhancement Support System-Only) were given access to an interactive cancer communication system, the Comprehensive Health Enhancement Support System. Those in the other group (Comprehensive Health Enhancement Support System + Clinician Report) received access to Comprehensive Health Enhancement Support System plus an online symptom reporting system called the Clinician Report. Clinicians of patients in the Comprehensive Health Enhancement Support System + Clinician Report group received e-mail alerts notifying them when a symptom distress was reported over a predetermined threshold. SETTING/PARTICIPANTS: Dyads (n = 235) of advanced-stage lung, breast, and prostate cancer patients and their adult caregivers were recruited at five outpatient oncology clinics in the United States. RESULTS: Caregivers in the Comprehensive Health Enhancement Support System + Clinician Report group reported less negative mood than those in the Comprehensive Health Enhancement Support System-Only group at both 6 months (p = 0.009) and 12 months (p = 0.004). Groups were not significantly different on caregiver preparedness or physical burden at either time point. CONCLUSIONS: This study provides new evidence that by using an online symptom reporting system, caregivers may experience less emotional distress due to the Clinician Report's timely communication of caregiving needs in symptom management to clinicians.

Developing and validating a model to predict the success of an IHCS implementation: the Readiness for Implementation Model.

OBJECTIVE: To develop and validate the Readiness for Implementation Model (RIM). This model predicts a healthcare organization's potential for success in implementing an interactive health communication system (IHCS). The model consists of seven weighted factors, with each factor containing five to seven elements. DESIGN: Two decision-analytic approaches, self-explicated and conjoint analysis, were used to measure the weights of the RIM with a sample of 410 experts. The RIM model with weights was then validated in a prospective study of 25 IHCS implementation cases. MEASUREMENTS: Orthogonal main effects design was used to develop 700 conjoint-analysis profiles, which varied on seven factors. Each of the 410 experts rated the importance and desirability of the factors and their levels, as well as a set of 10 different profiles. For the prospective 25-case validation, three time-repeated measures of the RIM scores were collected for comparison with the implementation outcomes. RESULTS: Two of the seven factors, 'organizational motivation' and 'meeting user needs,' were found to be most important in predicting implementation readiness. No statistically significant difference was found in the predictive validity of the two approaches (self-explicated and conjoint analysis). The RIM was a better predictor for the 1-year implementation outcome than the half-year outcome. LIMITATIONS: The expert sample, the order of the survey tasks, the additive model, and basing the RIM cut-off score on experience are possible limitations of the study. CONCLUSION: The RIM needs to be empirically evaluated in institutions adopting IHCS and sustaining the system in the long term.

Caregivers' participation in the oncology clinic visit mediates the relationship between their information competence and their need fulfillment and clinic visit satisfaction.

OBJECTIVE: Caregivers maintain critical roles in cancer patient care. Understanding cancer-related information effects both caregiver involvement and ability to have needs met. This study examines the mediating role caregiver's clinic visit involvement has on the relationships between caregiver's information competence and their need fulfillment and clinic visit satisfaction. METHODS: Secondary analysis of 112 advanced lung, breast, and prostate cancer caregivers participating in a large clinical trial. Caregiver information competence was assessed at pretest. Involvement, need fulfillment, and visit satisfaction were assessed immediately following the clinic appointment. RESULTS: Involvement correlated with information competence (r=.21, p<.05), need fulfillment (r=.48, p<.001), and satisfaction (r=.35, p<.001). The correlation between information competence and need fulfillment (r=.26, p<.01) decreased when controlling for involvement (r=.19, p=.049), demonstrating mediation, and accounted for 24.4% of the variance in need fulfillment. The correlation between information competence and satisfaction (r=.21, p=.04), decreased and was non-significant when controlling for involvement (r=.15, p=.11), demonstrating mediation, and accounted for 13% of variance in visit satisfaction. CONCLUSION: Caregiver's clinic visit involvement mediates the relationships between their information competence and their need fulfillment and visit satisfaction. PRACTICE IMPLICATIONS: Efforts to improve the caregiving experience, and potentially patient outcomes, should focus on system-wide approaches to facilitating caregivers' involvement and assertiveness in clinical encounters.

Caregivers' differing needs across key experiences of the advanced cancer disease trajectory.

OBJECTIVES: Familial caregivers are providing increasing amounts of care to advanced cancer patients. Increased understanding of caregivers' needs is vital in providing necessary support to lessen caregiver burden and morbidity. Current literature has identified caregiver and patient needs at broad stages of the cancer trajectory; however, such broad stages may be too general to inform a practice of targeting specific interventions when they have the greatest utility. This study examines a variety of particular needs across a number of more discrete illness-related transition experiences specifically in the advanced cancer disease trajectory. METHODS: One hundred fifty-nine female informal caregivers of people with advanced cancer completed a needs assessment survey. RESULTS: Analyses of these cross-sectional retrospective-report data reveal that cancer caregiver needs vary across specific key experiences occurring within the broader stages of illness identified by current literature. Furthermore, caregivers have unique needs during bereavement. SIGNIFICANCE OF RESULTS: Although the sample characteristics are demographically limited, this study provides preliminary evidence that the broad stages are not specific enough increments for effectively examining caregiver needs and supports the need for more precise distribution of cancer-related information at more discrete times in the illness course.

Development and implementation of a clinician reporting system for advanced stage cancer: initial lessons learned.

OBJECTIVE: Innovative approaches can strengthen patient-caregiver-clinician information exchange and more effectively address the physical and psychosocial challenges of advanced disease. This study reports initial findings from implementation of the Clinician Report (CR)-a patient and caregiver status report tool accessible by the oncology clinic team. DESIGN: The CR tracks and communicates essential information from cancer patients and caregivers to the oncology team. The CR conveys patient symptoms, emotional strain, and key concerns. MEASUREMENTS: Authors used a model developed to explain acceptance, implementation, and sustainability of Interactive Health Communication Systems (IHCS) to evaluate implementation of the new CR system. The study carried out qualitative analyses of interviews with clinicians regarding their experience utilizing the Clinician Report. RESULTS: Primary CR benefits included enhancement of patients' clinic visit experiences, greater caregiver involvement, and facilitation of earlier interventions. Challenges included CR functional issues, users' desire for greater depth of information, user privacy concerns, and limited patient use. These findings are discussed using parameters of the implementation model. Limitations of this study include its small clinician sample size, which represented only a portion of existing organizational settings in which CR systems might be implemented. CONCLUSION: Though in its early implementation stages, the CR demonstrates the potential to positively impact care delivery in the cancer clinic setting, particularly by facilitating earlier interventions and improving patient-caregiver-clinician communication both during and between clinic visits.

Patient/Caregiver influences for declining participation in supportive oncology trials.

Enrolling adequate numbers of subjects to research projects that focus on the supportive needs of patients and caregivers is difficult, and this difficulty significantly impedes investigation of this important research area. We report reasons that patients or their informal caregivers declined to participate in one of two randomized, longitudinal clinical trials testing the Comprehensive Health Enhancement Support System (CHESS), a Web-based information and support scheme for people with advanced cancer and their primary informal caregivers. Patients were asked why they declined participation in these trials; their responses then were recorded and coded into themes. The leading reasons included factors related to using a computer (eg, lack of familiarity with using this technology, access to other resources), being attended to by a caregiver (eg, poor caregiver health, caregiver burden, patient doing well and not needing a caregiver), taking part in a study (eg, survey burden, privacy concerns, wording of the consent form), dealing with personal issues (eg, time commitment, timing of study, feelings of being overwhelmed, and coping styles), and lack of interest. By using eligibility criteria that largely parallel those for studies of chemotherapeutic regimens, this research project highlighted reasons why subjects decline participation in clinical trials. This information was specific to supportive care trials; it may help researchers plan recruitment strategies and enrollment targets.

A tale of two studies: the importance of setting, subjects and context in two randomized, controlled trials of a web-based decision support for perimenopausal and postmenopausal health decisions.

OBJECTIVE: Knowledge relevant to women's peri- and postmenopausal health decisions has been evolving rapidly. Web-based decision supports can be rapidly updated and have the potential to improve the quality of patients' decisions. We developed and tested a web-based decision support for peri- and postmenopausal health decisionmaking. METHODS: We recruited 409 women aged 45-75 for one randomized, controlled trial and 54 women with an upcoming clinic appointment for a subsequent trial. Women were randomized to use the web-based decision support versus a printed brochure (first trial) and usual care (second trial). Outcomes were changes in decisional satisfaction, decisional conflict, and knowledge, both within each trial and compared across the trials. RESULTS: Intervention subjects had greater increases in decisional satisfaction in the second trial and knowledge in both trials. A high dropout rate among women randomized to the website in the first trial effectively negated benefits in that trial, but not in the second. CONCLUSIONS: The utility of this web-based decision support in two trials depended on a number of factors that appear related to the urgency of making a decision. PRACTICE IMPLICATIONS: Decision aids should be targeted to patients actively trying to make a decision.