Patients' Perspectives on Plans Generated During Primary Care Visits and Self-Reported Adherence at 3 Months: Data From a Randomized Trial.

BACKGROUND: Effective primary care necessitates follow-up actions by the patient beyond the visit. Prior research suggests room for improvement in patient adherence. OBJECTIVE: This study sought to understand patients' views on their primary care visits, the plans generated therein, and their self-reported adherence after 3 months. METHODS: As part of a large multisite cluster randomized pragmatic trial in 3 health care organizations, patients completed 2 surveys-the first within 7 days after the index primary care visit and another 3 months later. For this analysis of secondary outcomes, we combined the results across all study participants to understand patient adherence to care plans. We recorded patient characteristics and survey responses. Cross-tabulation and chi-square statistics were used to examine bivariate associations, adjusting for multiple comparisons when appropriate. We used multivariable logistic regression to assess how patients' intention to follow, agreement, and understanding of their plans impacted their plan adherence, allowing for differences in individual characteristics. Qualitative content analysis was conducted to characterize the patient's self-reported plans and reasons for adhering (or not) to the plan 3 months later. RESULTS: Of 2555 patients, most selected the top box option (9=definitely agree) that they felt they had a clear plan (n=2011, 78%), agreed with the plan (n=2049, 80%), and intended to follow the plan (n=2108, 83%) discussed with their provider at the primary care visit. The most common elements of the plans reported included reference to exercise (n=359, 14.1%), testing (laboratory, imaging, etc; n=328, 12.8%), diet (n=296, 11.6%), and initiation or adjustment of medications; (n=284, 11.1%). Patients who strongly agreed that they had a clear plan, agreed with the plan, and intended to follow the plan were all more likely to report plan completion 3 months later (P<.001) than those providing less positive ratings. Patients who reported plans related to following up with the primary care provider (P=.008) to initiate or adjust medications (P≤.001) and to have a specialist visit were more likely to report that they had completely followed the plan (P=.003). Adjusting for demographic variables, patients who indicated intent to follow their plan were more likely to follow-through 3 months later (P<.001). Patients' reasons for completely following the plan were mainly that the plan was clear (n=1114, 69.5%), consistent with what mattered (n=1060, 66.1%), and they were determined to carry through with the plan (n=887, 53.3%). The most common reasons for not following the plan were lack of time (n=217, 22.8%), having decided to try a different approach (n=105, 11%), and the COVID-19 pandemic impacted the plan (n=105, 11%). CONCLUSIONS: Patients' initial assessment of their plan as clear, their agreement with the plan, and their initial willingness to follow the plan were all strongly related to their self-reported completion of the plan 3 months later. Patients whose plans involved lifestyle changes were less likely to report that they had "completely" followed their plan. TRIAL REGISTRATION: ClinicalTrials.gov NCT03385512; https://clinicaltrials.gov/study/NCT03385512. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/30431.

"Integrated behavioral health plus": The best of the worlds of collaborative care management, primary care behavioral health, and primary care.

INTRODUCTION: Discussions comparing the components and virtues of models of integrated behavioral health (IBH), that is, collaborative care management and primary care behavioral health, have been ongoing. In this conceptual article, we recommend shifting the focus to a broader set of components we have found essential to serve the needs of our patients, and hopefully the broader aims of dissemination and implementation of IBH. METHOD: We detail our 20-year experience including the personnel, program components, challenges, successes, and plans for the future that will meet our patients' behavioral health needs and serve primary care. RESULTS: We compare our "IBH Plus" approach using the central tenets of primary care known as the "six Cs" (6Cs) to two dominant models, illustrating differences and similarities among them. The "6Cs" are first contact/accessibility, continuity, comprehensiveness, coordination, context-based, and accountability. We detail how each of these "6Cs" guides the structure and functioning of IBH Plus in the team-based patient-centered medical home setting. DISCUSSION: We believe IBH Plus more clearly relates to and supports the rest of the primary care transformation movement while integrating components of the most popular models of IBH and may support greater implementation of IBH. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Implementation and evaluation of Exercise is Medicine in primary care clinics within a large academic health system.

OBJECTIVE: Exercise is Medicine (EIM) is a global initiative encouraging healthcare providers to routinely assess and promote physical activity (PA) among patients. The objective of this study was to evaluate the feasibility, adoption, implementation and effectiveness of EIM from patient, clinician and healthcare staff perspectives using a combination of electronic health record (EHR), survey and interview data. DESIGN: This study used a combination of the Practical Robust Implementation and Sustainability Model (PRISM) and the Learning Evaluation model to implement EIM. Data captured from the EHR, including Physical Activity Vital Sign (PAVS) scores, and data collected from qualitative surveys and interviews were used to evaluate the programme's Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM, which is embedded within PRISM) from provider, staff and patient perspectives. SETTING: Five primary care clinics within a large academic health system. PARTICIPANTS: A total of 24 443 patients from all participating clinics had at least one PAVS score during the study period. A total of 17 clinicians completed surveys, and 4 clinicians, 8 medical assistants and 9 patients completed interviews. RESULTS: Implementation fidelity metrics varied widely between components and across clinics but were generally consistent over time, indicating a high degree of programme maintenance. Fidelity was highest during the first 6 months of the COVID-19 pandemic when most visits were virtual. Mean PAVS scores increased from 57.7 (95% CI: 56 to 59.4) to 95.2 (95% CI: 91.6 to 98.8) min per week at 6 months for patients not meeting PA guidelines at baseline and decreased from 253.84 (95% CI: 252 to 255.7) to 208.3 (95% CI: 204.2 to 212.4) min per week at 6 months for patients meeting PA guidelines at baseline. After EIM implementation, clinician-estimated time spent discussing PA with patients increased for 35% of providers and stayed the same for 53%. CONCLUSION: Overall, this study established EIM's feasibility, adoption, implementation and maintenance in routine primary care practice within a large academic health system. From a population health perspective, EIM is a model to emulate to help primary care providers efficiently address healthy lifestyle behaviours in routine primary care visits.

Navigating the doctor-patient-AI relationship - a mixed-methods study of physician attitudes toward artificial intelligence in primary care.

BACKGROUND: Artificial intelligence (AI) is a rapidly advancing field that is beginning to enter the practice of medicine. Primary care is a cornerstone of medicine and deals with challenges such as physician shortage and burnout which impact patient care. AI and its application via digital health is increasingly presented as a possible solution. However, there is a scarcity of research focusing on primary care physician (PCP) attitudes toward AI. This study examines PCP views on AI in primary care. We explore its potential impact on topics pertinent to primary care such as the doctor-patient relationship and clinical workflow. By doing so, we aim to inform primary care stakeholders to encourage successful, equitable uptake of future AI tools. Our study is the first to our knowledge to explore PCP attitudes using specific primary care AI use cases rather than discussing AI in medicine in general terms. METHODS: From June to August 2023, we conducted a survey among 47 primary care physicians affiliated with a large academic health system in Southern California. The survey quantified attitudes toward AI in general as well as concerning two specific AI use cases. Additionally, we conducted interviews with 15 survey respondents. RESULTS: Our findings suggest that PCPs have largely positive views of AI. However, attitudes often hinged on the context of adoption. While some concerns reported by PCPs regarding AI in primary care focused on technology (accuracy, safety, bias), many focused on people-and-process factors (workflow, equity, reimbursement, doctor-patient relationship). CONCLUSION: Our study offers nuanced insights into PCP attitudes towards AI in primary care and highlights the need for primary care stakeholder alignment on key issues raised by PCPs. AI initiatives that fail to address both the technological and people-and-process concerns raised by PCPs may struggle to make an impact.

Acupuncture in the emergency department for pain management: A BraveNet multi-center feasibility study.

PURPOSE: Pain accounts for up to 78% of emergency department (ED) patient visits and opioids remain a primary method of treatment despite risks of addiction and adverse effects. While prior acupuncture studies are promising as an alternative opioid-sparing approach to pain reduction, successful conduct of a multi-center pilot study is needed to prepare for a future definitive randomized control trial (RCT). METHODS: Acupuncture in the Emergency Department for Pain Management (ACUITY) is funded by the National Center for Complementary and Integrative Health. The objectives are to: conduct a multi-center feasibility RCT, examine feasibility of data collection, develop/deploy a manualized acupuncture intervention and assess feasibility/implementation (barrier/facilitators) in 3 EDs affiliated with the BraveNet Practice Based Research Network.Adults presenting to a recruiting ED with acute non-emergent pain (e.g., musculoskeletal, back, pelvic, noncardiac chest, abdominal, flank or head) of ≥4 on a 0-10-point Numeric Rating Scale will be eligible. ED participants (n = 165) will be equally randomized to Acupuncture or Usual Care.At pre-, post-, and discharge time-points, patients will self-assess pain and anxiety using the Numeric Rating Scale. Pain, anxiety, post-ED opioid use and adverse events will be assessed at 1 and 4 weeks. Opioid utilization in the ED and discharge prescriptions will be extracted from patients' electronic medical records.Acupuncture recipients will asked to participate in a brief qualitative interview about 3 weeks after their discharge. ED providers and staff will also be interviewed about their general perspectives/experiences related to acupuncture in the ED and implementation of acupuncture in ACUITY. RESULTS: Recruitment began on 5/3/21. As of 12/7/21: 84 patients have enrolled, the responsive acupuncture intervention has been developed and deployed, and 26 qualitative interviews have been conducted. CONCLUSION: Successful conduct of ACUITY will provide the necessary framework for conducting a future, multi-center, definitive RCT of acupuncture in the ED. CLINICAL TRIALSGOV: NCT04880733 https://clinicaltrials.gov/ct2/show/NCT04880733.

Integrating "Exercise Is Medicine" into primary care workflow: a study protocol.

As a major contributor to the burden of most chronic diseases, insufficient physical activity (PA) creates a significant financial burden on the health care system. Numerous interventions effectively increase PA, but few are integrated into primary care clinic workflows. Exercise Is Medicine (EIM) is a global health initiative committed to the belief that PA is integral to the prevention and treatment of diseases and should be routinely assessed as a vital sign and treated in the health care setting. This paper describes an in-progress embedded quality improvement (QI) project that integrates EIM into routine clinical practice. A combination of implementation science (IS) and QI models are used to adapt, implement, and evaluate the integration of EIM into six primary care clinics. The Practical, Robust Implementation and Sustainability Model (PRISM) guided preimplementation evaluation and adaptation of EIM protocol, materials, and delivery strategies. The learning evaluation QI model is used to design, test, refine, and implement EIM using rapid, 3 month Plan-Do-Study-Act microcycles. Learning meetings are used to obtain feedback and optimize workflow. The Stirman Framework is used to document adaptations to the program throughout implementation. Reach, adoption, implementation, effectiveness, and maintenance outcomes embedded within PRISM will guide the program evaluation to determine sustainability and scalability. Using an innovative approach of combining IS and QI methods to improve the identification of primary care patients with insufficient PA to increase their activity levels has great population health potential. Our work will inform the best approaches for EIM integration in primary care.

Inpatients' Preferences, Beliefs, and Stated Willingness to Pay for Complementary and Alternative Medicine Treatments.

OBJECTIVES: Research demonstrates the benefits of complementary and alternative medicine (CAM) in myriad environments. Yet, the majority of CAM services are offered in outpatient settings. Incorporating CAM into hospital settings may lead to increased patient comfort, well-being, and overall satisfaction with hospital admissions. Few studies have examined CAM services among inpatients. Therefore, this study assessed inpatients' preferences and beliefs regarding CAM, as well as their stated willingness to pay for these services. DESIGN: Adult patients (n = 100), ranging in age from 19-95 years (M = 53 years; SD = 19.2 years), were recruited during their hospitalization in the University of California, San Diego, Healthcare System. The inpatients completed a brief individual interview to gather their perspectives on common CAM services, including acupuncture, aromatherapy, art therapy, guided imagery, healthy food, humor therapy, massage therapy, music therapy, pet therapy, Reiki, and stress management. Inpatients were asked which CAM therapies they perceived as being potentially the most helpful, their willingness to pay for those therapies, and their perceived beliefs regarding the use of those therapies. RESULTS: Inpatients most commonly perceived healthy food (85%), massage therapy (82%), and humor therapy (70%) to be the most helpful, and were most willing to pay for healthy food (71%), massage therapy (70%), and stress management (48%). Inpatients most commonly believed CAM treatments would provide relaxation (88%), increase well-being (86%), and increase their overall satisfaction with the hospitalization (85%). CONCLUSIONS: This study suggests that CAM services may be a beneficial addition to hospitals, as demonstrated by inpatients' interest and stated willingness to pay for these services. These findings may help organizational leaders when making choices regarding the development of CAM services within hospitals, particularly since a significant percentage of inpatients reported that CAM services would increase their overall satisfaction with the hospitalization. These results merit further attention given the need to increase cost savings while enhancing the overall patient experience in today's medical marketplace.

Looking back and looking forward.

As the author's tenure as President of the Board of Collaborative Family Healthcare Association (CFHA) comes to a close it's time for some reflection on CFHA's past year and where the field of integrated behavioral health care is going. In summary, CFHA is growing, maturing and broadening its partners and its reach. CFHA's accomplishments are increasing, but there is an abundance of work still to do.

Observations from home: The patient centered medical home, integrated behavioral healthcare, teams and teamwork.

Medicine is no longer a single's game, it's a team sport. Long true in surgical specialties where the operative effort led by the chief surgeon is a carefully choreographed ballet of surgical assistants, surgical nurses, anesthesiologist, and other technical staff, now medical subspecialists are also assisted by teams composed of advanced practice nurses, physician assistants, social workers, and pharmacists. In primary care, the new vehicle for care teams is the Patient Centered Medical Home (PCMH; Kellerman & Kirk, 2007), which is designed to serve 85%-90% of patients' needs with the broadest "basket of services" possible.

Integrated behavioral health: The train has left the station. Where to next?

It's time for the final push to make integrated behavioral health (IBH) the way primary care (and indeed all medical care) is practiced in the United States. Too many of our patients are still suffering from the fragmentation in our health system. Team-based care that includes integrated behavioral health care has the best chance of achieving the Triple Aims of a transformed and efficient health care delivery system that delivers better care, better health, and lower cost for all Americans. (PsycINFO Database Record

Effects of medical comorbidity on anxiety treatment outcomes in primary care.

OBJECTIVE: To evaluate the effects of medical comorbidity on anxiety treatment outcomes. METHODS: Data were analyzed from 1004 primary care patients enrolled in a trial of a collaborative care intervention for anxiety. Linear-mixed models accounting for baseline characteristics were used to evaluate the effects of overall medical comorbidity (two or more chronic medical conditions [CMCs] versus fewer than two CMCs) and specific CMCs (migraine, asthma, and gastrointestinal disease) on anxiety treatment outcomes at 6, 12, and 18 months. RESULTS: At baseline, patients with two or more CMCs (n = 582; 58.0%) reported more severe anxiety symptoms (10.5 [95% confidence interval {CI} = 10.1-10.9] versus 9.5 [95% CI = 9.0-10.0], p = .003) and anxiety-related disability (17.6 [95% CI = 17.0-18.2] versus 16.0 [95% CI = 15.3-16.7], p = .001). However, their clinical improvement was comparable to that of patients with one or zero CMCs (predicted change in anxiety symptoms = -3.9 versus -4.1 at 6 months, -4.6 versus -4.4 at 12 months, -4.9 versus -5.0 at 18 months; predicted change in anxiety-related disability = -6.4 versus -6.9 at 6 months, -6.9 versus -7.3 at 12 months, -7.3 versus -7.5 at 18 months). The only specific CMC with a detrimental effect was migraine, which was associated with less improvement in anxiety symptoms at 18 months (predicted change = -4.1 versus -5.3). CONCLUSIONS: Effectiveness of the anxiety intervention was not significantly affected by the presence of multiple CMCs; however, patients with migraine displayed less improvement at long-term follow-up. Trial Registration ClinicalTrials.com Identifier: NCT00347269.

Establishing the Collaborative Care Research Network (CCRN): a description of initial participating sites.

Collaborative care has increased dramatically in the past decade, yet the variability in collaborative strategies and the diversity of settings in which collaboration is being implemented make it difficult to assess quality and outcomes. Therefore, three aims were addressed in the current study: (a) describe and characterize the sites in the Collaborative Care Research Network (CCRN), (b) identify factors associated with practices' self-identified collaborative care model (e.g., coordinated, integrated, care management), and (c) identify limitations of available survey data elements so as to propose additional elements for future surveys. Initial (CCRN) sites completed surveys regarding several organizational factors (e.g., setting type, size of patient population, number of behavioral health providers). Results from 39 sites showed significant heterogeneity in self-identified type of collaborative care model practiced (e.g., integrated care, coordinated care), type of practice setting (e.g., academic, federally qualified health center, military), size of clinic, and ratio of behavioral health providers to medical providers. This diversity in network site characteristics can provide a rich platform to address a number of questions regarding the current practice of collaborative care. Recommendations are made to improve future surveys to better understand elements of the patient-centered medical home and the role it may play in outcomes. (PsycINFO Database Record (c) 2012 APA, all rights reserved).

Effect of antidepressant medication treatment on suicidal ideation and behavior in a randomized trial: an exploratory report from the Combining Medications to Enhance Depression Outcomes Study.

OBJECTIVE: To explore relationships between baseline sociodemographic and clinical features and baseline suicidal ideation, and treatment effects on suicidal ideation and behavior, in depressed outpatients. METHOD: From March 2008 to September 2009, the Combining Medications to Enhance Depression Outcomes study, a single-blind, 7-month randomized trial, enrolled outpatients with nonpsychotic chronic and/or recurrent major depressive disorder (DSM-IV-TR criteria) in primary and psychiatric care (N = 665). Participants received escitalopram plus placebo, bupropion sustained release (SR) plus escitalopram, or venlafaxine extended release (XR) plus mirtazapine. The primary outcome measure for this report is presence of suicidal ideation assessed by the Concise Health Risk Tracking Self-Report, which measures suicidal ideation and behaviors over the last 24 hours. Sociodemographic and clinical features were compared in those with versus without baseline ideation. At 4, 12, and 28 weeks, treatment effects on suicidality were assessed, and unadjusted and adjusted outcomes were compared among those with and without baseline ideation using linear, logistic, ordinal logistic, and negative binomial regression models. RESULTS: Baseline suicidal ideation was associated with greater depressive severity, childhood neglect, childhood abuse, early major depressive disorder onset, greater psychiatric comorbidity, and worse functioning and quality of life. After adjustment for treatment, gender, age at first depressive episode, obsessive-compulsive symptoms, and depressive severity, depressive symptom outcomes did not differ between ideation groups at 12 or 28 weeks or between treatments. Overall, 79% of participants with baseline suicidal ideation had none at week 4, 83% had none at week 12, and 86% had none at week 28. All treatments reduced ideation, with bupropion-SR plus escitalopram the most effective at week 12 (P < .01). In participants without baseline ideation, emergent ideation did not differ between treatments: 2.5% had ideation at 4 weeks, 1.3% had ideation at 12 weeks, and only 1.7% had ideation at 28 weeks. Four patients (all receiving venlafaxine-XR plus mirtazapine) attempted suicide (P = .0162). CONCLUSION: Baseline ideation did not affect depressive symptom outcome. Bupropion-SR plus escitalopram most effectively reduced ideation. Ideation emergence was uncommon. Venlafaxine-XR plus mirtazapine may pose a higher risk of suicide attempts. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00590863.

Found in translation: exporting patient-centered communication and small group teaching skills to China.

The Chinese Medical Doctor's Association asked us to develop a train-the-trainers program in doctor-patient communication and in teaching skills for a select group of Chinese health care professionals, who would then serve as trainers for practicing physicians throughout China. The request came in the context of increasing doctor-patient friction related, in part, to the dissolution of the socialist health care safety net in China. In this article we recount the implementation of our 5-day training program in Beijing. We explore cross-cultural issues that arose in presenting the program's two principal training domains: small group teaching and patient-centered doctor-patient communication. We also explore the linguistic challenges we encountered as non-Chinese speaking teachers. Finally, we reflect on the lessons learned from this project that may be of value to others called upon to export Western doctor-patient communications training to other cultures. In this age of increasing globalization, cross-cultural sharing of medical education represents a growing trend.

Verbal interaction analysis: viewing feedback through a different lens.

BACKGROUND: Verbal interaction analysis, though seldom applied to the feedback-giving process, can be used to assess feedback dimensions not easily assessed by other means. DESCRIPTION: The purpose of this study was to explore verbal interaction analysis as a method to assess feedback interactions between senior medical students trained as teachers and their sophomore learners. We randomly selected 14 videotaped encounters of senior teachers giving feedback to sophomore learners and classified 417 utterances to address (a) verbal dominance, (b) feedback balance, and (c) cognitive level. EVALUATION: Teachers did most of the talking (65.2%). Although some feedback was corrective (20.6%), teacher utterances were mostly positive (33.5%) or neutral (45.9%). Cognitively, the teacher utterances occurred largely at the factual (lowest) level (74.3%). CONCLUSIONS: Interaction analysis enabled us to describe 3 dimensions of teacher-learner feedback not easily assessed by other means: verbal dominance, positive-corrective balance, and cognitive level. Assessing these dimensions provides information about two theoretically important indices of feedback-giving effectiveness: learner involvement and feedback balance. Future study of verbal interaction analysis in this and other populations is warranted to further evaluate its usefulness.

Mental health treatment preferences of older and younger primary care patients.

OBJECTIVE: To compare mental health treatment history and preferences in older and younger primary care patients. METHOD: We surveyed 77 older (60+) and 312 younger adult primary care patients from four outpatient medical clinics about their mental health treatment history and preferences. RESULTS: Older adults were less likely than younger adults to report a history of mental health treatment (29% vs. 51%) or to be currently receiving treatment (11% vs. 23%). They were also less likely to indicate that they currently desire help with emotional problems (25% vs. 50%). Older adults were more likely to hold a belief in self-reliance that could limit their willingness to accept treatment for mental health problems, although they were less likely than younger adults to identify other barriers to treatment. Older adults reported that they were less likely to attend programs in primary care targeting mental health issues (counseling, stress management) than younger adults, although they were as willing as younger adults to attend programs targeting physical health issues (healthy living class, fitness program). Age remained a significant predictor of mental health treatment history and preferences even after controlling for other demographic variables. CONCLUSION: These results suggest that older adults in the primary care setting may be less willing to accept mental health services than younger adults. Results further suggest that perceived barriers may differ for older and younger patients, which may indicate the need for age-specific educational messages and services targeted to older adults in primary care.