Challenges and Opportunities for Paving the Road to Global Health Equity Through Implementation Science.

Implementation science focuses on enhancing the widespread uptake of evidence-based interventions into routine practice to improve population health. However, optimizing implementation science to promote health equity in domestic and global resource-limited settings requires considering historical and sociopolitical processes (e.g., colonization, structural racism) and centering in local sociocultural and indigenous cultures and values. This review weaves together principles of decolonization and antiracism to inform critical and reflexive perspectives on partnerships that incorporate a focus on implementation science, with the goal of making progress toward global health equity. From an implementation science perspective, wesynthesize examples of public health evidence-based interventions, strategies, and outcomes applied in global settings that are promising for health equity, alongside a critical examination of partnerships, context, and frameworks operationalized in these studies. We conclude with key future directions to optimize the application of implementation science with a justice orientation to promote global health equity.

User-Centered Design of a Preference-Driven Patient Activation Tool for Optimizing Depression Treatment in Integrated Primary Care Settings (The Transform DepCare Study).

BACKGROUND: Few patient engagement tools incorporate the complex patient experiences, contexts, and workflows that limit depression treatment implementation. OBJECTIVE: Describe a user-centered design (UCD) process for operationalizing a preference-driven patient activation tool. DESIGN: Informed by UCD and behavior change/implementation science principles, we designed a preference-driven patient activation prototype for engaging patients in depression treatment. We conducted three usability cycles using different recruitment/implementation approaches: near live/live testing in primary care waiting rooms (V1-2) and lab-based think aloud testing (V3) oversampling older, low-literacy, and Spanish-speaking patients in the community and via EHR algorithms. We elicited clinician and "heuristic" expert input. MAIN MEASURES: We administered the system usability scale (SUS) all three cycles and pre-post V3, the patient activation measure, decisional conflict scale, and depression treatment barriers. We employed descriptive statistics and thematically analyzed observer notes and transcripts for usability constructs. RESULTS: Overall, 43 patients, 3 clinicians, and 5 heuristic (a usability engineering method for identifying usability problems) experts participated. Among patients, 41.9% were ≥ 65 years old, 79.1% female, 23.3% Black, 62.8% Hispanic, and 55.8% Spanish-speaking and 46.5% had ≤ high school education. We described V1-3 usability (67.2, 77.3, 81.8), treatment seeking (92.3%, 87.5%, 92.9%), likelihood/comfort discussing with clinician (76.9%, 87.5%, 100.0%), and pre vs. post decisional conflict (23.7 vs. 15.2), treatment awareness (71.4% vs. 92.9%), interest in antidepressants (7.1% vs. 14.3%), and patient activation (66.8 vs. 70.9), with fewer barriers pertaining to cost/insurance, access/coordination, and self-efficacy/stigma/treatment efficacy. Key themes included digital literacy, understandability, high acceptability for aesthetics, high usefulness of patient/clinician videos, and workflow limitations. We adapted manual entry/visibility/content; added patient activation and a personalized algorithm; and proposed flexible, care manager delivery leveraging clinic screening protocols. DISCUSSION: We provide an example of leveraging UCD to design/adapt a real-world, patient experience and workflow-aligned patient activation tool in diverse populations.

Management of Depression in Adults: A Review.

Importance: Approximately 9% of US adults experience major depression each year, with a lifetime prevalence of approximately 17% for men and 30% for women. Observations: Major depression is defined by depressed mood, loss of interest in activities, and associated psychological and somatic symptoms lasting at least 2 weeks. Evaluation should include structured assessment of severity as well as risk of self-harm, suspected bipolar disorder, psychotic symptoms, substance use, and co-occurring anxiety disorder. First-line treatments include specific psychotherapies and antidepressant medications. A network meta-analysis of randomized clinical trials reported cognitive therapy, behavioral activation, problem-solving therapy, interpersonal therapy, brief psychodynamic therapy, and mindfulness-based psychotherapy all had at least medium-sized effects in symptom improvement over usual care without psychotherapy (standardized mean difference [SMD] ranging from 0.50 [95% CI, 0.20-0.81] to 0.73 [95% CI, 0.52-0.95]). A network meta-analysis of randomized clinical trials reported 21 antidepressant medications all had small- to medium-sized effects in symptom improvement over placebo (SMD ranging from 0.23 [95% CI, 0.19-0.28] for fluoxetine to 0.48 [95% CI, 0.41-0.55] for amitriptyline). Psychotherapy combined with antidepressant medication may be preferred, especially for more severe or chronic depression. A network meta-analysis of randomized clinical trials reported greater symptom improvement with combined treatment than with psychotherapy alone (SMD, 0.30 [95% CI, 0.14-0.45]) or medication alone (SMD, 0.33 [95% CI, 0.20-0.47]). When initial antidepressant medication is not effective, second-line medication treatment includes changing antidepressant medication, adding a second antidepressant, or augmenting with a nonantidepressant medication, which have approximately equal likelihood of success based on a network meta-analysis. Collaborative care programs, including systematic follow-up and outcome assessment, improve treatment effectiveness, with 1 meta-analysis reporting significantly greater symptom improvement compared with usual care (SMD, 0.42 [95% CI, 0.23-0.61]). Conclusions and Relevance: Effective first-line depression treatments include specific forms of psychotherapy and more than 20 antidepressant medications. Close monitoring significantly improves the likelihood of treatment success.

Leveraging Implementation Science for Cardiovascular Health Equity: A Scientific Statement From the American Heart Association.

Reducing cardiovascular disease disparities will require a concerted, focused effort to better adopt evidence-based interventions, in particular, those that address social determinants of health, in historically marginalized populations (ie, communities excluded on the basis of social identifiers like race, ethnicity, and social class and subject to inequitable distribution of social, economic, physical, and psychological resources). Implementation science is centered around stakeholder engagement and, by virtue of its reliance on theoretical frameworks, is custom built for addressing research-to-practice gaps. However, little guidance exists for how best to leverage implementation science to promote cardiovascular health equity. This American Heart Association scientific statement was commissioned to define implementation science with a cardiovascular health equity lens and to evaluate implementation research that targets cardiovascular inequities. We provide a 4-step roadmap and checklist with critical equity considerations for selecting/adapting evidence-based practices, assessing barriers and facilitators to implementation, selecting/using/adapting implementation strategies, and evaluating implementation success. Informed by our roadmap, we examine several organizational, community, policy, and multisetting interventions and implementation strategies developed to reduce cardiovascular disparities. We highlight gaps in implementation science research to date aimed at achieving cardiovascular health equity, including lack of stakeholder engagement, rigorous mixed methods, and equity-informed theoretical frameworks. We provide several key suggestions, including the need for improved conceptualization and inclusion of social and structural determinants of health in implementation science, and the use of adaptive, hybrid effectiveness designs. In addition, we call for more rigorous examination of multilevel interventions and implementation strategies with the greatest potential for reducing both primary and secondary cardiovascular disparities.

Impact of Telemedicine Modality on Quality Metrics in Diverse Settings: Implementation Science-Informed Retrospective Cohort Study.

BACKGROUND: Video-based telemedicine (vs audio only) is less frequently used in diverse, low socioeconomic status settings. Few prior studies have evaluated the impact of telemedicine modality (ie, video vs audio-only visits) on clinical quality metrics. OBJECTIVE: The aim of this study was to assess telemedicine uptake and impact of visit modality (in-person vs video and phone visits) on primary care quality metrics in diverse, low socioeconomic status settings through an implementation science lens. METHODS: Informed by the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework, we evaluated telemedicine uptake, assessed targeted primary care quality metrics by visit modality, and described provider-level qualitative feedback on barriers and facilitators to telemedicine implementation. RESULTS: We found marginally better quality metrics (ie, blood pressure and depression screening) for in-person care versus video and phone visits; de-adoption of telemedicine was marked within 2 years in our population. CONCLUSIONS: Following the widespread implementation of telemedicine during the COVID-19 pandemic, the impact of visit modality on quality outcomes, provider and patient preferences, as well as technological barriers in historically marginalized settings should be considered.

A Narrative Review of the Association Between Depression and Heart Disease Among Women: Prevalence, Mechanisms of Action, and Treatment.

PURPOSE OF REVIEW: Sex and gender differences exist with regard to the association between depression and cardiovascular disease (CVD). This narrative review describes the prevalence, mechanisms of action, and management of depression and CVD among women, with a particular focus on coronary heart disease (CHD). RECENT FINDINGS: Women versus men with incident and established CHD have a greater prevalence of depression. Comorbid depression and CHD in women may be associated with greater mortality, and treatment inertia. Proposed mechanisms unique to the association among women of depression and CHD include psychosocial, cardiometabolic, behavioral, inflammatory, hormonal, and autonomic factors. The literature supports a stronger association between CHD and the prevalence of depression in women compared to men. It remains unclear whether depression treatment influences cardiovascular outcomes, or if treatment effects differ by sex and/or gender. Further research is needed to establish underlying mechanisms as diagnostic and therapeutic targets.

Medications as Traumatic Reminders in Patients With Stroke/Transient Ischemic Attack-Induced Posttraumatic Stress Disorder.

BACKGROUND AND PURPOSE: Posttraumatic stress disorder (PTSD) symptoms are common after stroke/transient ischemic attack (TIA) and have been associated with medication nonadherence, potentially because medications serve as traumatic reminders of the prior stroke/TIA. This study examined associations between stroke/TIA-induced PTSD and aversive cognitions toward preventive medications. METHODS: We enrolled a cohort of patients presenting to the emergency department with suspected stroke/TIA. One month posthospitalization, we assessed PTSD symptoms specific to the index stroke/TIA using the PTSD checklist specific and asked patients how often (1) did thinking about your stroke medication make you feel nervous or anxious?; (2) did thinking about your stroke medication make you think about your risk for future strokes?; and (3) did you skip or avoid taking your stroke medication so you would not have to think about your stroke? Logistic regression models tested the association between PTSD symptoms and each aversive cognition, adjusting for age, sex, ethnicity, and depression. RESULTS: Among 408 included patients, 11.0% had elevated PTSD symptoms. These patients were more likely to report that thinking about their stroke medication made them feel nervous or anxious (37.8% versus 9.9%, P<0.001) that thinking about their stroke medication made them think about their risk for future stroke/TIA (60.0% versus 24.0%, P<0.001), and that they skipped or avoided their stroke medication to not think about their prior stroke/TIA (11.1% versus 2.2%, P=0.009). In adjusted analyses, higher PTSD checklist specific scores were associated with increased nervousness/anxiety (odds ratio, 1.33 [95% CI, 1.18-1.50], P<0.001) and thoughts of future stroke (odds ratio, 1.27 [95% CI, 1.14-1.41], P<0.001), with a trend toward significance for skipping medications to avoid reminders of stroke (odds ratio, 1.20 [95% CI, 0.99-1.44], P=0.06). CONCLUSIONS: Medications may serve as traumatic reminders after stroke/TIA-induced PTSD, potentially leading to medication nonadherence.

Hospital Readmissions After Implementation of a Discharge Care Program for Patients with COVID-19 Illness.

BACKGROUND: The surge of coronavirus 2019 (COVID-19) hospitalizations in New York City required rapid discharges to maintain hospital capacity. OBJECTIVE: To determine whether lenient provisional discharge guidelines with remote monitoring after discharge resulted in safe discharges home for patients hospitalized with COVID-19 illness. DESIGN: Retrospective case series SETTING: Tertiary care medical center PATIENTS: Consecutive adult patients hospitalized with COVID-19 illness between March 26, 2020, and April 8, 2020, with a subset discharged home INTERVENTIONS: COVID-19 Discharge Care Program consisting of lenient provisional inpatient discharge criteria and option for daily telephone monitoring for up to 14 days after discharge MEASUREMENTS: Fourteen-day emergency department (ED) visits and hospital readmissions RESULTS: Among 812 patients with COVID-19 illness hospitalized during the study time period, 15.5% died prior to discharge, 24.1% remained hospitalized, 10.0% were discharged to another facility, and 50.4% were discharged home. Characteristics of the 409 patients discharged home were mean (SD) age 57.3 (16.6) years; 245 (59.9%) male; 27 (6.6%) with temperature ≥ 100.4 °F; and 154 (37.7%) with oxygen saturation < 95% on day of discharge. Over 14 days of follow-up, 45 patients (11.0%) returned to the ED, of whom 31 patients (7.6%) were readmitted. Compared to patients not referred, patients referred for remote monitoring had fewer ED visits (8.3% vs 14.1%; OR 0.60, 95% CI 0.31-1.15, p = 0.12) and readmissions (6.9% vs 8.3%; OR 1.15, 95% CI 0.52-2.52, p = 0.73). LIMITATIONS: Single-center study; assignment to remote monitoring was not randomized. CONCLUSIONS: During the COVID-19 surge in New York City, lenient discharge criteria in conjunction with remote monitoring after discharge were associated with a rate of early readmissions after COVID-related hospitalizations that was comparable to the rate of readmissions after other reasons for hospitalization before the COVID pandemic.

Masked Hypertension: Whom and How to Screen?

PURPOSE OF REVIEW: To review issues regarding the practical implementation of screening strategies for masked hypertension. RECENT FINDINGS: Masked hypertension has been associated with an increased risk of cardiovascular disease events and all-cause mortality. Recent guidelines have encouraged practitioners to use out-of-clinic monitoring to detect masked hypertension in some situations. However, it is unclear from these guidelines who should be screened or how to best measure out-of-office blood pressure. In this review, challenges to screening strategies for masked hypertension, and factors that should be considered when deciding to screen using ambulatory or home blood pressure monitoring. Masked hypertension is an important clinical phenotype to detect. Future research is needed in order to develop optimal screening strategies, and to understand population level implications of using ambulatory or home blood pressure monitoring on blood pressure control.

Invited Commentary: Sex and Race Differences in Diabetes and Cardiovascular Disease-Achieving the Promise of Sex and Race Subgroup Analyses in Epidemiologic Research.

Diabetes confers a higher risk of cardiovascular disease on women than on men. The reasons for these sex differences, such as poorer cardiovascular risk factor profiles, have received considerable attention. However, a recent report on sex × diabetes interactions on cardiovascular disease identified that few if any prior studies have confirmed these sex differences in black individuals, despite known diabetes-related disparities. In this issue of the Journal, George et al. (Am J Epidemiol. 2018;187(3):403-410.) found marginally significant multiplicative sex × diabetes interactions in black but not white study participants after adjustments for traditional and behavioral risk factors, competing risk, and change in diabetes status over time. This study is notable for its attempt to fill an important literature gap, and it elegantly addressed multiple statistical considerations in assessing sex × diabetes interactions according to race strata. The findings also highlighted several important considerations for conducting race and sex subgroup analyses.

Collaborative Care for Depression among Patients with Limited English Proficiency: a Systematic Review.

BACKGROUND: Patients with limited English proficiency (LEP) have high rates of depression, yet face challenges accessing effective care in outpatient settings. We undertook a systematic review to investigate the effectiveness of the collaborative care model for depression for LEP patients in primary care. METHODS: We queried online PubMed, PsycINFO, CINAHL and EMBASE databases (January 1, 2000, to June 10, 2017) for quantitative studies comparing collaborative care to usual care to treat depression in adults with LEP in primary care. We evaluated the impact of collaborative care on depressive symptoms or on depression treatment. Two reviewers independently extracted key data from the studies and assessed risk of bias using the Cochrane bias and quality assessment tool (RCTs) and the Newcastle-Ottawa Quality Assessment Scale (non-RCTs). RESULTS: Of 86 titles identified, 15 were included (representing 9 studies: 5 RCTs, 3 cohort studies, and 1 case-control study). Studies included 4859 participants; 2679 (55%) reported LEP. The majority spoke Spanish (93%). The wide variability in study design and outcome definitions precluded performing a meta-analysis. Follow-up ranged from 3 months to 2 years. Three of four high-quality RCTs reported that 13-25% more patients had improved depressive symptoms when treated with culturally tailored collaborative care compared to usual care; the last had high treatment in the control arm and found equal improvement. Two non-RCT studies suggest that Spanish-speaking patients may benefit as much as, if not more than, English-speaking patients treated with collaborative care. The remaining studies reported increased receipt of preferred depression treatment (therapy vs. antidepressants) in the intervention groups. Eight of nine studies used bilingual providers to deliver the intervention. DISCUSSION: While limited by the number and variability of studies, the available research suggests that collaborative care for depression delivered by bilingual providers may be more effective than usual care among patients with LEP. Implementation studies of collaborative care, particularly among Asian and non-Spanish-speakers, are needed.

Interventions to Increase Depression Treatment Initiation in Primary Care Patients: a Systematic Review.

INTRODUCTION: Nearly 50% of depressed primary care patients referred to mental health services do not initiate mental health treatment. The most promising interventions for increasing depression treatment initiation in primary care settings remain unclear. METHODS: We performed a systematic search of publicly available databases from inception through August 2017 to identify interventions designed to increase depression treatment initiation. Two authors independently selected, extracted data, and rated risk of bias from included studies. Eligible studies used a randomized or pre-post design and assessed depression treatment initiation (i.e., ≥ 1 mental health visit or antidepressant fill) among adults, the majority of whom met criteria for depression. Interventions were classified as simple or complex and sub-classified into intervention strategies that were graded for strength of evidence. RESULTS: Of 9516 articles identified, we included 14 unique studies representing 16 (4 simple and 12 complex) interventions and 8 treatment initiation strategies. We found low to moderate strength of evidence for collaborative/integrated care (3 studies), treatment preference matching (2 studies), and case management (2 studies) strategies. However, there was insufficient evidence to determine the benefit of cultural tailoring (2 studies), motivation (alone, with reminders or with cultural tailoring (5 studies)), education (1 study), and shared decision-making strategies (1 study). Overall, we found moderate strength of evidence for complex interventions (8 of 12 complex interventions demonstrated statistically significant effects on treatment initiation). DISCUSSION: Collaborative/integrated care, preference treatment matching, and case management strategies had the best evidence for improving depression treatment initiation, but none of the strategies had high strength of evidence. While primary care settings can consider using some of these strategies when referring depressed patients to treatment, our review highlights the need for further rigorous research in this area.

The presence of companions during emergency department evaluation and its impact on perceptions of clinician-patient communication.

OBJECTIVES: Research in outpatient setting suggests that the presence of companions during a medical encounter can improve clinician-patient communication. It is not known if the presence of companions has a similar effect in the acutely stressful context of the ED. This study tested whether the presence of companions in the ED relate to stronger clinician-patient communication. We further explored effect modification by demographic factors (race/ethnicity, education and language) thought to compromise communication. METHODS: Participants were drawn from an observational cohort study of patients with suspected acute coronary syndrome (n=876) recruited from an urban academic medical centre between 2013 and 2016. Patient interviews occurred both in the ED and post-ED discharge; communication was assessed using the Interpersonal Processes of Care Survey with possible range of scores of 14-70. Companions were categorised as close others (ie, partner/spouse or child), non-close others (eg, neighbour) or no one. RESULTS: Perceptions of clinician-patient communication were high (mean=57.1, SD=10.6;). There was no association between companions (close/non-close/no one) and clinician-patient communication, p=0.262. Demographic factors were unrelated to communication. There was a significant interaction between education and companions. Having a close other in the ED was associated with stronger clinician-patient communication only for patients with high school education or less, p=0.027. CONCLUSIONS: Neither the presence of companions nor demographic factors were related to clinician-patient communication. The interaction effect suggesting that patients completing high school or less have the most to gain from the presence of close others warrants further exploration.

Telemonitoring Adherence to Medications in Heart Failure Patients (TEAM-HF): A Pilot Randomized Clinical Trial.

BACKGROUND: Medication nonadherence contributes to hospitalizations in recently discharged patients with heart failure (HF). We aimed to test the feasibility of telemonitoring medication adherence in patients with HF. METHODS AND RESULTS: We randomized 40 patients (1:1) hospitalized for HF to 30 days of loop diuretic adherence monitoring with telephonic support or to passive adherence monitoring alone. Eighty-three percent of eligible patients agreed to participate. The median age of patients was 64 years, 25% were female, and 45% were Hispanic. Overall, 67% of patients were nonadherent (percentage of days that the correct number of doses were taken <88%). There were no differences between intervention and passive monitoring group patients, respectively, in adherence (median correct dosing adherence 82% vs 73%; P = .41) or in the proportion readmitted within 30 days (30% vs 20%; P = .72). Eighty-eight percent of patients rated the wireless electronic adherence device as somewhat or very easy to use, and 88% agreed to use it again. CONCLUSIONS: Adherence telemonitoring was acceptable to most patients with HF. Diuretic nonadherence was common even when patients knew they were being monitored. Future studies should assess whether adherence telemonitoring can improve adherence and reduce readmissions among patients with HF.

An Electronic Adherence Measurement Intervention to Reduce Clinical Inertia in the Treatment of Uncontrolled Hypertension: The MATCH Cluster Randomized Clinical Trial.

BACKGROUND: To appropriately manage uncontrolled hypertension, clinicians must decide whether blood pressure (BP) is above goal due to a need for additional medication or to medication nonadherence. Yet, clinicians are poor judges of adherence, and uncertainty about adherence may promote inertia with respect to medication modification. OBJECTIVE: We aimed to determine the effect of sharing electronically-measured adherence data with clinicians on the management of uncontrolled hypertension. DESIGN: This was a cluster randomized trial. PARTICIPANTS: Twenty-four primary care providers (12 intervention, 12 usual care; cluster units) and 100 patients with uncontrolled hypertension (65 intervention, 35 usual care) were included in the study. INTERVENTIONS: At one visit per patient, clinicians in the intervention group received a report summarizing electronically measured adherence to the BP regimen and recommended clinical actions. Clinicians in the control group did not receive a report. MAIN MEASURES: The primary outcome was the proportion of visits with appropriate clinical management (i.e., treatment intensification among adherent patients and adherence counseling among nonadherent patients). Secondary outcomes included patient-rated quality of care and communication during the visit. KEY RESULTS: The proportion of visits with appropriate clinical management was higher in the intervention group than the control group (45 out of 65; 69 %) versus (12 out of 35; 34 %; p = 0.001). A higher proportion of adherent patients in the intervention group had their regimen intensified (p = 0.01), and a higher proportion of nonadherent patients in the intervention group received adherence counseling (p = 0.005). Patients in the intervention group were more likely to give their clinician high ratings on quality of care (p = 0.05), and on measures of patient-centered (p = 0.001) and collaborative communication (p = 0.02). CONCLUSIONS: Providing clinicians with electronically-measured antihypertensive adherence reports reduces inertia in the management of uncontrolled hypertension. TRIAL REGISTRATION: NCT01257347 ; http://clinicaltrials.gov/show/ NCT01257347.

What Should Primary Care Providers Know About the Changes in DSM-5?

Primary care providers are increasingly involved in the management of patients with mental disorders, particularly as integrated models of care emerge. The recent publication of the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) represents a shift in the classification of several mental disorders commonly encountered by primary care providers. With the advent of ICD-10 and the movement toward diagnostic specificity, it is crucial that primary care providers understand the rationale behind these changes. This paper provides an overview of the changes in the classification of mental disorders in DSM-5, a description of how these changes relate to frequently used screening tools in the primary care setting, and a critique of how these changes will affect mental health practice from a primary care perspective.