RESUMO
BACKGROUND: Legal system involvement is a policy-driven risk factor for homelessness. Legal financial obligations (LFOs), such as court fees, fines and restitution, can endanger the financial security of those ensnared in the criminal justice system. In this study we measured the effect of incarceration and LFOs on duration of homelessness in Seattle, WA, USA. METHODS: To analyze the relationship between incarceration, debt and duration of homelessness, we interviewed 101 adults experiencing homelessness and living in city-sanctioned encampments and tiny house villages in Seattle, WA in 2017-18. We collected personal housing history, presence and amount of debt, and measures of legal system involvement. RESULTS: Our respondents experienced homelessness an average of 41 months during the current episode. Nearly two-thirds reported being convicted of a crime, and 78% had been incarcerated. More than 25% reported owing current legal fines. Individuals with legal fine debt experienced 22.9 months of additional homelessness after considering the effects of race, age, and gender. CONCLUSION: We confirmed a strong association between homelessness and legal trouble. Among high-income countries, the USA has the highest rates of legal system involvement and the highest rates of homelessness; the relationship between the two may be connected.
Assuntos
Pessoas Mal Alojadas , Adulto , Estudos Transversais , Habitação , Humanos , Problemas Sociais , WashingtonRESUMO
BACKGROUND: Virtual patient engagement has become more common in recent years. Emerging research suggests virtual engagement can increase accessibility for patients managing long-term health conditions and those living in larger geographic areas, but it can also be challenging to establish relationships and maintain engagement over time. Little is known about virtual engagement lasting more than two years, nor about the specific contributions of patients to virtual engagement projects. Here we describe a project where virtual engagement was sustained over a long period of time (3.5 years), measure patients' contributions to the work, and describe the facilitators and challenges of the project using the Valuing All Voices (VAV) patient engagement framework. METHODS: Five researchers recruited four patient partners living with persistent pain to work together virtually on a project to improve care for others with long-term pain. Researchers documented engagement activities and patient partner contributions and categorized them using Carman et al.'s 3 types of engagement. They also collected data via semi-structured group interviews with patient partners about the facilitators and challenges of the project using the VAV framework. RESULTS: In 3.5 years, patient partners contributed 487 h to the project, averaging 3.0 h per month, and participated in 40 meetings. They contributed to 17 products for patients, health care teams, and researchers. Most products (12 of 17) were created using the more in-depth engagement approaches of involvement or partnership and shared leadership. The group identified facilitators of the project across the five VAV domains of relationship-building, trust, understanding & acceptance, education & communication, and self-awareness, as well as some specific challenges such as keeping track of products across virtual platforms and managing the high volume of project information. CONCLUSIONS: Long-term virtual patient engagement is feasible and can use more in-depth engagement approaches. Additionally, it can result in substantial contributions from patients in terms of time, effort, and products. These findings can inform future long-term virtual patient engagement efforts and provide insight into how researchers can structure their activities to encourage and maintain deep engagement over time.
BACKGROUND: Virtual patient engagement has become more common in recent years. Virtual engagement can make it easier for people with long-term health conditions and from larger geographic areas to be involved, but it can also be challenging to establish relationships and maintain engagement over time. There are not many examples of virtual engagement projects lasting more than two years, and many projects do not describe patients' specific contributions to the work. Here we describe a 3.5-year project where we measured patients' contributions and described the facilitators and challenges of the project using the Valuing All Voices (VAV) patient engagement framework. METHODS: Five researchers worked with four patient partners living with persistent pain to improve health care for others with long-term pain. We tracked how we worked together and how patient partners contributed to the project. We categorized the products we created together using three types of engagement that range from less to more in-depth. Researchers also interviewed patient partners about the facilitators and challenges of working together virtually. RESULTS: In 3.5 years, patient partners contributed 487 h to the project, averaging 3.0 h per month, and participated in 40 meetings. They contributed to 17 different products. Twelve of the products used more in-depth engagement approaches. The group identified facilitators of the project across the five VAV domains, as well as some specific challenges. CONCLUSIONS: We found that long-term virtual patient engagement is feasible, can use in-depth engagement strategies, and can result in important contributions from patients in terms of time, effort, and products.
RESUMO
BACKGROUND: Delivering prescription digital therapeutics (ie, evidence-based interventions designed to treat, manage, or prevent disorders via websites or smartphone apps) in primary care could increase patient access to substance use disorder (SUD) treatments. However, the optimal approach to implementing prescription digital therapeutics in primary care remains unknown. OBJECTIVE: This pilot study is a precursor to a larger trial designed to test whether implementation strategies (practice facilitation [PF] and health coaching [HC]) improve the delivery of prescription digital therapeutics for SUDs in primary care. This mixed methods study describes outcomes among patients in the 2 pilot clinics and presents qualitative findings on implementation. METHODS: From February 10 to August 6, 2021, a total of 3 mental health specialists embedded in 2 primary care practices of the same integrated health system were tasked with offering app-based prescription digital therapeutics to patients with SUD. In the first half of the pilot, implementation activities included training and supportive tools. PF (at 1 clinic) and HC (at 2 clinics) were added in the second half. All study analyses relied on secondary data, including electronic health records and digital therapeutic vendor data. Primary outcomes were the proportion of patients reached by the prescription digital therapeutics and fidelity related to ideal use. We used qualitative methods to assess the adherence to planned activities and the barriers and facilitators to implementing prescription digital therapeutics. RESULTS: Of all 18 patients prescribed the apps, 10 (56%) downloaded the app and activated their prescription, and 8 (44%) completed at least 1 module of content. Patients who activated the app completed 1 module per week on average. Ideal use (fidelity) was defined as completing 4 modules per week and having a monthly SUD-related visit; 1 (6%) patient met these criteria for 10 weeks (of the 12-week prescription period). A total of 5 (28%) patients had prescriptions while HC was available, 2 (11%) were successfully contacted, and both declined coaching. Clinicians reported competing clinical priorities, technical challenges, and logistically complex workflows in part because the apps required a prescription. Some pilot activities were impacted by staff turnover that coincided with the COVID-19 pandemic. The facilitators to implementation were high engagement and the perception that the apps could meet patient needs. CONCLUSIONS: The pilot study encountered the barriers to implementing prescription digital therapeutics in a real-world primary care setting, especially staffing shortages, turnover, and competing priorities for clinic teams. The larger randomized trial will clarify the extent to which PF and HC improve the implementation of digital therapeutics. TRIAL REGISTRATION: ClinicalTrials.gov NCT04907045; https://clinicaltrials.gov/study/NCT04907045.
Assuntos
Aplicativos Móveis , Atenção Primária à Saúde , Transtornos Relacionados ao Uso de Substâncias , Humanos , Projetos Piloto , Transtornos Relacionados ao Uso de Substâncias/terapia , Masculino , Feminino , Adulto , Pessoa de Meia-Idade , Telemedicina , Pesquisa QualitativaRESUMO
BACKGROUND: Alcohol use disorders (AUD) are prevalent and often go untreated. Patients are commonly screened for AUD in primary care, but existing treatment programs are failing to meet demand. Digital therapeutics include novel mobile app-based treatment approaches which may be cost-effective treatment options to help fill treatment gaps. The goal of this study was to identify implementation needs and workflow design considerations for integrating digital therapeutics for AUD into primary care. METHODS: We conducted qualitative interviews with clinicians, care delivery leaders, and implementation staff (n = 16) in an integrated healthcare delivery system in the United States. All participants had experience implementing digital therapeutics for depression or substance use disorders in primary care. Interviews were designed to gain insights into adaptations needed to optimize existing clinical processes, workflows, and implementation strategies for use with alcohol-focused digital therapeutics. Interviews were recorded and transcribed and then analyzed using a rapid analysis process and affinity diagramming. RESULTS: Qualitative themes were well represented across health system staff roles. Participants were enthusiastic about digital therapeutics for AUD, anticipated high patient demand for such a resource, and made suggestions for successful implementation. Key insights regarding the implementation of digital therapeutics for AUD and unhealthy alcohol use from our data include: (1) implementation strategy selection must be driven by digital therapeutic design and target population characteristics, (2) implementation strategies should seek to minimize burden on clinicians given the large numbers of patients with AUD who are likely to be interested in and eligible for digital therapeutics, and (3) digital therapeutics should be offered alongside many other treatment options to accommodate individual patients' AUD severity and treatment goals. Participants also expressed confidence that previous implementation strategies used with other digital therapeutics such as clinician training, electronic health record supports, health coaching, and practice facilitation would be effective for the implementation of digital therapeutics for AUD. CONCLUSIONS: The implementation of digital therapeutics for AUD would benefit from careful consideration of the target population. Optimal integration requires tailoring workflows to meet anticipated patient volume and designing workflow and implementation strategies to meet the unique needs of patients with varying AUD severity.
Assuntos
Alcoolismo , Humanos , Alcoolismo/terapia , Fluxo de Trabalho , Pesquisa Qualitativa , Consumo de Bebidas Alcoólicas , Atenção Primária à SaúdeRESUMO
BACKGROUND: Experts recommend that treatment for substance use disorder (SUD) be integrated into primary care. The Digital Therapeutics for Opioids and Other SUD (DIGITS) Trial tests strategies for implementing reSET® and reSET-O®, which are prescription digital therapeutics for SUD and opioid use disorder, respectively, that include the community reinforcement approach, contingency management, and fluency training to reinforce concept mastery. This purpose of this trial is to test whether two implementation strategies improve implementation success (Aim 1) and achieve better population-level cost effectiveness (Aim 2) over a standard implementation approach. METHODS/DESIGN: The DIGITS Trial is a hybrid type III cluster-randomized trial. It examines outcomes of implementation strategies, rather than studying clinical outcomes of a digital therapeutic. It includes 22 primary care clinics from a healthcare system in Washington State and patients with unhealthy substance use who visit clinics during an active implementation period (up to one year). Primary care clinics implemented reSET and reSET-O using a multifaceted implementation strategy previously used by clinical leaders to roll-out smartphone apps ("standard implementation" including discrete strategies such as clinician training, electronic health record tools). Clinics were randomized as 21 sites in a 2x2 factorial design to receive up to two added implementation strategies: (1) practice facilitation, and/or (2) health coaching. Outcome data are derived from electronic health records and logs of digital therapeutic usage. Aim 1's primary outcomes include reach of the digital therapeutics to patients and fidelity of patients' use of the digital therapeutics to clinical recommendations. Substance use and engagement in SUD care are additional outcomes. In Aim 2, population-level cost effectiveness analysis will inform the economic benefit of the implementation strategies compared to standard implementation. Implementation is monitored using formative evaluation, and sustainment will be studied for up to one year using qualitative and quantitative research methods. DISCUSSION: The DIGITS Trial uses an experimental design to test whether implementation strategies increase and improve the delivery of digital therapeutics for SUDs when embedded in a large healthcare system. It will provide data on the potential benefits and cost-effectiveness of alternative implementation strategies. CLINICALTRIALS: gov Identifier: NCT05160233 (Submitted 12/3/2021). https://clinicaltrials.gov/ct2/show/NCT05160233.
Assuntos
Atenção à Saúde , Transtornos Relacionados ao Uso de Opioides , Humanos , Terapia Comportamental , Analgésicos Opioides , Transtornos Relacionados ao Uso de Opioides/tratamento farmacológico , Atenção Primária à Saúde , Ensaios Clínicos Controlados Aleatórios como AssuntoRESUMO
Background: Clinician champions are front-line clinicians who advocate for and influence practice change in their local context. The strategies they use when leading efforts to reduce the use of low-value care have not been well described. The purpose of this study is to identify and describe strategies used by six clinician champions who led a low-value care initiative in their clinical setting. Methods: Qualitative data collected during an overuse reduction initiative led by clinician champions were used to identify strategies, guided by the Expert Recommendations for Implementing Change compilation of strategies. Clinician champions were asked to rank the importance of these activities and indicate which one of the six most important activities they would be willing to discuss in an interview. A 30-min semi-structured interview was conducted with each clinician about the activity they selected and thematically analyzed. Results: Twelve Expert Recommendations for Implementing Change strategies were identified. The top six strategies discussed during interviews were: build a coalition, conduct a local needs assessment, develop a formal implementation blueprint, conduct educational meetings, use facilitation, and develop clinical reminders. Common themes that emerged across all interviews were the use of data to engage clinicians in conversations, including the patient's perspective in designing the interventions, and investing the time upfront to plan and launch the initiative because of the inherent challenges of relinquishing a service. Conclusions: Clinician champions identified multiple strategies as important when de-implementing a low-value service. Many were used to engage in conversations with stakeholders, including leadership, providers, and patients, to increase buy-in and support, challenge beliefs, promote behavior change, and gather insights about next steps in their effort. Future work is needed to better understand how prepare clinicians for this role and to understand the mechanisms through which these strategies might be effective.