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Simple Summary: Lung cancer is the most common cause of cancer related death in the US, but survival is far better when people are diagnosed at an earlier stage. There are currently no clinical quality measures that are routinely used to measure the quality or timeliness of diagnosis of lung cancer in the US. We used Natural Language Processing (NLP) to extract information on the symptoms and signs that had been recorded in the electronic medical records of patients presenting in ambulatory care over the 2 years prior to their diagnosis with lung cancer. We found that the time from the first recorded symptoms/signs associated with lung cancer to diagnosis was 570 days. The time intervals from chest CT or chest X-ray imaging to diagnosis, and from specialist consultation to diagnosis were shorter—at 43 and 72 days, respectively. Advanced techniques such as NLP can be used to extract detailed information from electronic medical records, that could potentially be used to create clinical quality measures with the goal of improving the timeliness of diagnosis of this cancer. The diagnosis of lung cancer in ambulatory settings is often challenging due to non-specific clinical presentation, but there are currently no clinical quality measures (CQMs) in the United States used to identify areas for practice improvement in diagnosis. We describe the pre-diagnostic time intervals among a retrospective cohort of 711 patients identified with primary lung cancer from 2012–2019 from ambulatory care clinics in Seattle, Washington USA. Electronic health record data were extracted for two years prior to diagnosis, and Natural Language Processing (NLP) applied to identify symptoms/signs from free text clinical fields. Time points were defined for initial symptomatic presentation, chest imaging, specialist consultation, diagnostic confirmation, and treatment initiation. Median and interquartile ranges (IQR) were calculated for intervals spanning these time points. The mean age of the cohort was 67.3 years, 54.1% had Stage III or IV disease and the majority were diagnosed after clinical presentation (94.5%) rather than screening (5.5%). Median intervals from first recorded symptoms/signs to diagnosis was 570 days (IQR 273–691), from chest CT or chest X-ray imaging to diagnosis 43 days (IQR 11–240), specialist consultation to diagnosis 72 days (IQR 13–456), and from diagnosis to treatment initiation 7 days (IQR 0–36). Symptoms/signs associated with lung cancer can be identified over a year prior to diagnosis using NLP, highlighting the need for CQMs to improve timeliness of diagnosis. [ABSTRACT FROM AUTHOR]

Background: Patients with a substance use disorder (SUD) often present with co-occurring chronic conditions in primary care. Despite the high co-occurrence of chronic medical conditions and SUD, little is known about whether chronic condition outcomes or related service utilization in primary care varies between patients with versus without documented SUDs. This study examined whether having a SUD influenced the use of primary care services and common chronic condition outcomes for patients with diabetes, hypertension, and obesity.Methods: A longitudinal cohort observational study examined electronic health record data from 21 primary care clinics in Washington and Idaho to examine differences in service utilization and clinical outcomes for diabetes, hypertension, and obesity in patients with and without a documented SUD diagnosis. Differences between patients with and without documented SUD diagnoses were compared over a three-year window for clinical outcome measures, including hemoglobin A1c, systolic and diastolic blood pressure, and body mass index, as well as service outcome measures, including number of encounters with primary care and co-located behavioral health providers, and orders for prescription opioids. Adult patients (N = 10,175) diagnosed with diabetes, hypertension, or obesity before the end of 2014, and who had ≥2 visits across a three-year window including at least one visit in 2014 (baseline) and at least one visit occurring 12 months or longer after the 2014 visit (follow-up) were examined.Results: Patients with SUD diagnoses and co-occurring chronic conditions were seen by providers more frequently than patients without SUD diagnoses (p's < 0.05), and patients with SUD diagnoses were more likely to be prescribed opioid medications. Chronic condition outcomes were no different for patients with versus without SUD diagnoses.Discussion: Despite the higher visit rates to providers in primary care, a majority of patients with SUD diagnoses and chronic medical conditions in primary care did not get seen by co-located behavioral health providers, who can potentially provide and support evidence informed care for both SUD and chronic conditions. Patients with chronic medical conditions also were more likely to get prescribed opioids if they had an SUD diagnosis. Care pathway innovations for SUDs that include greater utilization of evidence-informed co-treatment of SUDs and chronic conditions within primary care settings may be necessary for improving care overall for patients with comorbid SUDs and chronic conditions. [ABSTRACT FROM AUTHOR]

Context: Digital therapeutics may be uniquely positioned to address challenges reported by providers in chronic pain (CP) management. Previous studies have shown patient-provider discordance in priorities for CP management, which can be addressed in digital therapeutics development to encourage implementation and use. Objective: To assess primary care providers' and patients' perceptions of CP treatment goals and motivators for use of a digital therapeutic delivering CP related behavioral interventions. Study Design: Quantitative surveys. Setting: Participants were recruited from four primary care clinics in Washington and Colorado, two patient support groups, and one research community stakeholder group. Population studied: The sample included 31 patients and 39 providers. Most patients identified as male (61.3%), non-Hispanic White (96.8%) and had experienced pain for one year or longer (90.3%). A mix of provider roles were included: primary care providers (46.2%), behavioral health providers (41.0%), clinical pharmacists (5.1%), and nurses (5.1%). All providers had experience treating patients with CP. Outcomes: Participants rated 10 CP treatment goals (e.g., quality of life, selfmanagement skills) and 11 motivators for use (e.g., coaching, insurance payment coverage) of digital therapeutics on a 5-point Likert-scale. Descriptive statistics and Chi-Square tests were computed. Results: Patients and providers differed in their perceptions of importance across all treatment goals. Patients' ratings of treatment goals ranged from least to very important, whereas providers uniformly rated all treatment goals as very or extremely important (p < .05), and provider ratings of importance were consistently higher than patients (p < .05). Patients and providers on average did not rate motivators for use very high and they differed in their perceptions across six specific motivators. Providers rated friend recommendations and coaching features as more likely to motivate use than patients did (p < .05). Providers tended to rate more uniformly than patients on motivators related to insurance covering most of the cost, it being recommended by a provider or friend, and if the program was personalized with coaching (p < .05). Conclusions: Incorporating digital therapeutics in routine primary care may help improve CP management by providing customizable features that address diverse treatment goals, and bridge differing perspectives between providers and patients. [ABSTRACT FROM AUTHOR]

Context: Digital therapeutics are growing as a solution to improve access and quality of care. Increasing evidence has shown the efficacy of digital therapeutics in managing pain for patients, but they are underutilized by primary care providers who see over half of the patients with chronic pain. Engaging providers to develop and use digital therapeutics with patients in chronic pain management has become necessary. Objective: This study explored primary care providers' challenges and strategies in chronic pain management to identify needs and practice gaps that inform development of digital therapeutics for chronic pain. Study Design: Qualitative study, using a human-centered design approach. Setting: Eleven providers from four primary care clinics in Washington and Colorado participated in semistructured interviews between July and October 2021. Population studied: The sample (N=11) included seven primary care physicians, two behavioral health providers, one physician assistant and one nurse. Most providers worked in clinics affiliated with urban, academic health systems or in federally qualified health centers. Outcomes: Interviews focused on provider goals in chronic pain management, challenges and strategies used, and perceptions of digital therapeutics. Results: Four themes related to provider needs emerged: patient-provider alliance, team-based care, tracking and monitoring, and social determinants of health. Providers desired resources to streamline pain education, counseling, and goal setting with patients. Greater accessibility to multidisciplinary care team consultations and nonpharmacological pain treatments would be beneficial to providers and patients. Infrastructure and systems are needed for providers to systematically track and monitor patients' pain. Providers requested assistance with connecting underserved patients to wraparound social services and addressing healthcare access barriers. Conclusion: Digital therapeutics for chronic pain would benefit from incorporating multimodal features that strengthen patient-provider alliance, increase access to non-pharmacological treatment options, support population health tracking and management, and provide equitable solutions that require lower sophistication of device and Internet access. Leveraging digital therapeutics in healthcare settings requires meeting provider needs at individual care and system levels. [ABSTRACT FROM AUTHOR]

Introduction: Integrating behavioral health in primary care improves quality of care and outcomes for patients with comorbid conditions. Shortage of a trained behavioral health workforce limits adoption. Professional psychology training programs contribute to recruitment, retention, and development of skilled providers, who value and deliver behavioral health services in primary care. This study interviewed a cohort of established psychology training programs in real-world, state-wide clinical primary care settings and identified their strategies and challenges with teaching practices and program resources that impact the robust quality of training. Method: Between December 2020 and March 2021, we conducted semistructured interviews with 12 licensed psychologists who oversaw nine integrated primary care psychology training programs at the internship and postdoctoral levels across Washington State. Data were analyzed using a thematic approach. Results: Programs taught psychology trainees about integrated primary care via extensive onboarding, modeling and shadowing, structured learning environment, interprofessional education opportunities, flexible and cross-disciplinary supervision, and a psychologically safe space. Teaching challenges included balancing scheduled and curbside supervision, pivoting to telehealth, and aligning trainee expectations and program requirements. Training programs were funded through different and multiple sources, but most lacked a stable funding mechanism, compounded by barriers for psychology trainees to bill for services, a lack of control over organization's budgeting decisions, and instability in funding renewal. Conclusion: Synergistic support from program, organization, and system/policy levels are needed to align teaching activities with clinical practice environments and invest in the growth and sustainability of psychology training programs on integrated primary care. [ABSTRACT FROM AUTHOR]