Importance: Patients leaving treatment for alcohol-use disorders (AUDs) are not typically offered evidence-based continuing care, although research suggests that continuing care is associated with better outcomes. A smartphone-based application could provide effective continuing care.

Objective Informal caregivers (family and friends) of people with cancer are often unprepared for their caregiving role, leading to increased burden or distress. CHESS (Comprehensive Health Enhancement Support System) is a web-based lung cancer information, communication and coaching system for caregivers. This randomized trial reports the impact on caregiver burden, disruptiveness and mood of providing caregivers access to CHESS versus the Internet with a list of recommended lung cancer websites. Methods 285 informal caregivers of patients with advanced non-small cell lung cancer were randomly assigned to a comparison group that received Internet or a treatment group that received Internet and CHESS. Caregivers were provided a computer and Internet service if needed. Written surveys were completed at pretest and during the intervention period bimonthly for up to 24 months. ANCOVA analyses compared the intervention’s effect on caregivers’ disruptiveness and burden (CQOLI-C), and negative mood (combined Anxiety, Depression, and Anger scales of the POMS) at six months, controlling for blocking variables (site, caregiver’s race, and relationship to patient) and the given outcome at pretest. Results Caregivers randomized to CHESS reported lower burden [t (84) = 2.36, p = .021, d= .39] and negative mood [t (86) = 2.82, p = .006, d= .44] than those in the Internet group. The effect on disruptiveness was not significant. Conclusions Although caring for someone with a terminal illness will always exact a toll on caregivers, eHealth interventions like CHESS may improve caregivers’ understanding and coping skills and, as a result, ease their burden and 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.

Objective Mobile technology has the potential to radically improve addiction treatment and continuing care by offering emotional and instrumental support anywhere and just in time. This is particularly important in addiction because timing is critical to preventing relapse. Although most experts consider alcoholism to be a chronic disease, providers do not typically offer ongoing support for relapse prevention after patients complete treatment, even though a central characteristic of alcoholism and other addictive behaviors is their chronically relapsing nature. A-CHESS is a smartphone-based system for preventing relapse to heavy drinking among people leaving active alcohol dependence treatment. A-CHESS is designed to improve competence, social relatedness, and motivation, the three tenets of Self-Determination Theory. This paper reports on the relative impact and use of A-CHESS four months after patients entered the study and discusses implications of the results on treating addiction and chronic diseases generally. Methods A total of 349 individuals with alcohol dependence leaving residential treatment were randomly assigned to either receive A-CHESS+Treatment as Usual or Treatment as Usual (standard aftercare). Patients came from two treatment agencies, one in the Midwest and one in the Northeast. Patients assigned to A-CHESS received a smartphone for 8 months and were followed for 12. The authors analyzed use patterns during the first 4 months of use by those receiving A-CHESS. Results Participants used A-CHESS heavily and sustained their use over time. Ninety-four percent of A-CHESS participants used the application during the first week after residential treatment. At week 16, almost 80% continued to access A-CHESS. Participants with alcohol and drug-dependence showed higher levels of system use than those with alcohol dependence only. Participants with a mental health diagnosis had slightly lower levels of use at the end of the intervention period (week 16), although more than 70% still accessed the system. Conclusions These findings illustrate that patients with alcohol dependence, alcohol and drug dependence, and mental health issues will use smartphone applications such as A-CHESS for ongoing support, resources and information, thus extending patient care if given the opportunity. Further analysis is needed to determine if sustained A-CHESS use improves outcomes.

Background This study examined the effectiveness of an online support system (CHESS) versus the Internet in relieving physical symptom distress in patients with nonsmall cell lung cancer (NSCLC). Methods 285 informal caregiver-patient dyads were randomly assigned to standard care plus the Internet or CHESS for up to 25 months. Caregivers agreed to use CHESS or the Internet and complete bimonthly surveys; for patients, these tasks were optional. The primary endpoint, patient symptom distress, was measured by caregiver reports using a modified Edmonton Symptom Assessment Scale (ESAS). Results Caregivers in the CHESS arm consistently reported lower patient physical symptom distress than caregivers in the Internet arm, with significant differences at 4 months (P = .031, Cohen’s d = .42) and 6 months (P = .004, d = .61). Similar but marginally significant effects were observed at 2 months (P = .051, d = .39) and 8 months (P = .061, d = .43). Exploratory analyses showed that survival curves did not differ significantly between the arms (log rank, P = .172), although a survival difference in an exploratory subgroup analysis suggests an avenue for further study. Conclusions An online support system may reduce patient symptom distress. The effect on survival bears further investigation.

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BackgroundDespite the near ubiquity of mobile phones, little research has been conducted on the implementation of mobile health (mHealth) apps to treat patients in primary care. Although primary care clinicians routinely treat chronic conditions such as asthma and diabetes, they rarely treat addiction, a common chronic condition. Instead, addiction is most often treated in the US health care system, if it is treated at all, in a separate behavioral health system. mHealth could help integrate addiction treatment in primary care.ObjectiveThe objective of this paper was to report the effects of implementing an mHealth system for addiction in primary care on both patients and clinicians.MethodsIn this implementation research trial, an evidence-based mHealth system named Seva was introduced sequentially over 36 months to a maximum of 100 patients with substance use disorders (SUDs) in each of three federally qualified health centers (FQHCs; primary care clinics that serve patients regardless of their ability to pay). This paper reports on patient and clinician outcomes organized according to the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework.ResultsThe outcomes according to the RE-AIM framework are as follows: Reach—Seva reached 8.31% (268/3226) of appropriate patients. Reach was limited by our ability to pay for phones and data plans for a maximum of 100 patients per clinic. Effectiveness—Patients who were given Seva had significant improvements in their risky drinking days (44% reduction, (0.7-1.25)/1.25, P=.04), illicit drug-use days (34% reduction, (2.14-3.22)/3.22, P=.01), quality of life, human immunodeficiency virus screening rates, and number of hospitalizations. Through Seva, patients also provided peer support to one another in ways that are novel in primary care settings. Adoption—Patients sustained high levels of Seva use—between 53% and 60% of the patients at the 3 sites accessed Seva during the last week of the 12-month implementation period. Among clinicians, use of the technology was less robust than use by patients, with only a handful of clinicians using Seva in each clinic and behavioral health providers making most referrals to Seva in 2 of the 3 clinics. Implementation—At 2 sites, implementation plans were realized successfully; they were delayed in the third. Maintenance—Use of Seva dropped when grant funding stopped paying for the mobile phones and data plans. Two of the 3 clinics wanted to maintain the use of Seva, but they struggled to find funding to support this.ConclusionsImplementing an mHealth system can improve care among primary care patients with SUDs, and patients using the system can support one another in their recovery. Among clinicians, however, implementation requires figuring out how information from the mHealth system will be used and making mHealth data available in the electronic health (eHealth) record. In addition, paying for an mHealth system remains a challenge.

BackgroundExternal change agents can play an essential role in healthcare organizational change efforts. This systematic review examines the role that external change agents have played within the context of multifaceted interventions designed to promote organizational change in healthcare—specifically, in primary care settings.MethodsWe searched PubMed, CINAHL, Cochrane, Web of Science, and Academic Search Premier Databases in July 2016 for randomized trials published (in English) between January 1, 2005 and June 30, 2016 in which external agents were part of multifaceted organizational change strategies. The review was conducted according to PRISMA guidelines. A total of 477 abstracts were identified and screened by 2 authors. Full text articles of 113 studies were reviewed. Twenty-one of these studies were selected for inclusion.ResultsAcademic detailing (AD) is the most prevalently used organizational change strategy employed as part of multi-component implementation strategies. Out of 21 studies, nearly all studies integrate some form of audit and feedback into their interventions. Eleven studies that included practice facilitation into their intervention reported significant effects in one or more primary outcomes.ConclusionsOur results demonstrate that practice facilitation with regular, tailored follow up is a powerful component of a successful organizational change strategy. Academic detailing alone or combined with audit and feedback alone is ineffective without intensive follow up. Provision of educational materials and use of audit and feedback are often integral components of multifaceted implementation strategies. However, we didn’t find examples where those relatively limited strategies were effective as standalone interventions. System-level support through technology (such as automated reminders or alerts) is potentially helpful, but must be carefully tailored to clinic needs.