Patient Characteristics Associated with Receiving Gender-Affirming Hormone Therapy in the Veterans Health Administration.

Purpose: This study aimed to examine patient characteristics associated with receipt of gender-affirming hormone therapy in the Veterans Health Administration (VHA). Methods: This cross-sectional study included a national cohort of 9555 transgender and gender diverse (TGD) patients with TGD-related diagnosis codes who received care in the VHA from 2006 to 2018. Logistic regression models were used to determine the association of health conditions and documented social stressors with receipt of gender affirming hormone therapy. Results: Of the 9555 TGD patients, 57.4% received gender-affirming hormone therapy in the VHA. In fully adjusted models, patients who had following characteristics were less likely to obtain gender-affirming hormones in the VHA: Black, non-Hispanic versus white (adjusted odds ratio [aOR]: 0.61; 95% confidence interval [CI]: 0.52-0.72), living in the Northeast versus the West (aOR: 0.72; 95% CI: 0.62-0.84), a documented drug use disorder (aOR: 0.56; 95% CI: 0.47-0.68), ≥3 versus no comorbidities (aOR: 0.44; 95% CI: 0.34-0.57), and ≥3 versus no social stressors (aOR: 0.42; 95% CI: 0.30-0.58; all p<0.001). Younger patients aged 21-29 years were almost 3 times more likely to receive gender affirming hormone therapy in the VHA than those aged ≥60 (aOR: 2.98; 95% CI: 2.55-3.47; p<0.001). Conclusion: TGD individuals who were older, Black, non-Hispanic, and had more comorbidities and documented social stressors were less likely to receive gender-affirming hormone therapy in the VHA. Further understanding of patient preferences in addition to clinician- and site-level determinants that may impact access to gender-affirming hormone therapy for TGD individuals in the VHA is needed.

Multidisciplinary providers' perceptions of care delivery for sleep disorders: A qualitative case study.

OBJECTIVES: Sleep disorders are wide-ranging in their causes and impacts on other physical and mental health conditions. Thus, sleep disorders could benefit from a multidisciplinary approach to assessment and treatment. An integrated care model is often recommended but is costly to implement. We sought to understand how, in the absence of an established organizational structure for integrated sleep care, providers from different clinics work together to provide care for sleep disorders. METHODS: A qualitative case study at one U.S. Department of Veterans Affairs (VA) medical center. We used a purposeful nested sampling strategy, combining maximum variation sampling and snowball sampling to recruit key staff involved in sleep care. RESULTS: We interviewed providers (N = 10) from sleep medicine, primary care, and mental health services. Providers identified the ubiquity of sleep disorders and a concomitant need for multidisciplinary care. However, they described limited opportunities for multidisciplinary interactions and consequently a negative impact on clinical care. Providers described fragmentation in two areas: among sleep specialists and between sleep specialists and other referring and managing providers. CONCLUSIONS: A range of interventions, based on setting and resources, could improve care coordination both among sleep specialists and between sleep and nonsleep providers. While integrated sleep specialist clinics could reduce care fragmentation, they may not directly impact coordination with referring providers, like primary care and general mental health, who are essential in managing chronic conditions. Future work should continue to explore improving care coordination for sleep problems to ensure patients receive high-quality, timely, patient-centered care.

Strategies for engaging patients in co-design of an intervention.

OBJECTIVE: We provide practical guidance about using co-design methods to collaborate with patients to create patient-facing interventions, which others can use when undertaking similar projects. METHODS: This is a narrative review synthesizing co-design principles and published literature with our experience working alongside five Veteran patients of the U.S. Department of Veterans Affairs in New England to co-design a portfolio of patient-facing materials to improve patient-centered care coordination. Our process took 12 weeks (April - June 2022) and was conducted entirely via video conference. RESULTS: Co-design is a participatory research method. Its principles include sharing power over the research process and products, agency for all participants, embracing a plurality of forms of knowledge, and mutual and reciprocal benefit. We describe three stages of the co-design process (preparatory work; design and development; feedback and closure), strategies and techniques we used at each stage, challenges we faced, and considerations for addressing them. CONCLUSION: Co-designing patient-facing interventions blends different forms of knowledge to produce practical, contextually specific interventions with ownership by the people who will use them. PRACTICE IMPLICATIONS: Co-design is a feasible methodology for most health services research teams whose goal is to intensify patient engagement in research.

Real World Use of Anti-Obesity Medications and Weight Change in Veterans.

BACKGROUND: Anti-obesity medications (AOMs) can be initiated in conjunction with participation in the VA national behavioral weight management program, MOVE!, to help achieve clinically meaningful weight loss. OBJECTIVE: To compare weight change between Veterans who used AOM + MOVE! versus MOVE! alone and examine AOM use, duration, and characteristics associated with longer duration of use. DESIGN: Retrospective cohort study using VA electronic health records. PARTICIPANTS: Veterans with overweight or obesity who participated in MOVE! from 2008-2017. MAIN MEASURES: Weight change from baseline was estimated using marginal structural models up to 24 months after MOVE! initiation. The probability of longer duration of AOM use (≥ 180 days) was estimated via a generalized linear mixed model. RESULTS: Among MOVE! participants, 8,517 (1.6%) used an AOM within 24 months after MOVE! initiation with a median of 90 days of cumulative supply. AOM + MOVE! users achieved greater weight loss than MOVE! alone users at 6 (3.2% vs. 1.6%, p < 0.001), 12 (3.4% vs. 1.4%, p < 0.001), and 24 months (2.7% vs. 1.5%, p < 0.001), and had a greater probability of achieving ≥ 5% weight loss at 6 (38.8% vs. 26.0%, p < 0.001), 12 (43.1% vs. 28.4%, p < 0.001), and 24 months (40.4% vs. 33.3%, p < 0.001). Veterans were more likely to have ≥ 180 days of supply if they were older, exempt from medication copays, used other medications with significant weight-gain, significant weight-loss, or modest weight-loss side effects, or resided in the West North Central or Pacific regions. Veterans were less likely to have ≥ 180 days of AOM supply if they had diabetes or initiated MOVE! later in the study period. CONCLUSIONS: AOM use following MOVE! initiation was uncommon, and exposure was time-limited. AOM + MOVE! was associated with a higher probability of achieving clinically significant weight loss than MOVE! alone.

Patients' Experience of Specialty Care Coordination: Survey Development and Validation.

Purpose: Specialty care coordination relies on information flowing bidirectionally between all three participants in the "specialty care triad" - patients, primary care providers (PCPs), and specialists. Measures of coordination should strive to account for the perspectives of each. As we previously developed two surveys to measure coordination of specialty care as experienced by PCPs and specialists, this study aimed to develop and evaluate the psychometric properties of a related survey of specialty care coordination as experienced by the patient, thereby completing the suite of surveys among the triad. Methods: We developed a draft survey based on literature review, patient interviews, adaptation of existing measures, and development of new items. Survey responses were collected via mail and online in two waves, August 2019-November 2019 and September 2020-May 2021, among patients (N=939) receiving medical specialty care and primary care in the Veterans Affairs health system. Exploratory and confirmatory factor analysis were used to assess scale structure. Multiple linear regression was used to examine the relationship of the final coordination scales to patients' overall experience of specialty care coordination. Results: A 38-item measure representing 10 factors that assess the patient's experience of coordination in specialty care among the patient, PCP, and specialist was finalized. Scales demonstrated good internal consistency reliability and, together, explained 59% of the variance in overall coordination. Analyses revealed an unexpected construct describing organization of care between patient and specialist that accounted for patient goals and preferences; this 10-item scale was named Patient-Centered Care Coordination. Conclusions: The final survey, Coordination of Specialty Care - Patient, or CSC-Patient for short, is a reliable instrument that can be used alone or with its companions (CSC-PCP, CSC-Specialist) to provide a detailed assessment of specialty care coordination and identify targets for coordination improvement.

Patterns of Telemedicine Use and Glycemic Outcomes of Endocrinology Care for Patients With Type 2 Diabetes.

Importance: Telemedicine can increase access to endocrinology care for people with type 2 diabetes (T2D), but patterns of use and outcomes of telemedicine specialty care for adults with T2D beyond initial uptake in 2020 are not known. Objective: To evaluate patterns of telemedicine use and their association with glycemic control among adults with varying clinical complexity receiving endocrinology care for T2D. Design, Setting, and Participants: Retrospective cohort study in a single large integrated US health system. Participants were adults who had a telemedicine endocrinology visit for T2D from May to October 2020. Data were analyzed from June 2022 to October 2023. Exposure: Patients were followed up through May 2022 and assigned to telemedicine-only, in-person, or mixed care (both telemedicine and in-person) cohorts according to visit modality. Main Outcomes and Measures: Multivariable regression models were used to estimate hemoglobin A1c (HbA1c) change at 12 months within each cohort and the association of factors indicating clinical complexity (insulin regimen and cardiovascular and psychological comorbidities) with HbA1c change across cohorts. Subgroup analysis was performed for patients with baseline HbA1c of 8% or higher. Results: Of 11 498 potentially eligible patients, 3778 were included in the final cohort (81 Asian participants [2%], 300 Black participants [8%], and 3332 White participants [88%]); 1182 used telemedicine only (mean [SD] age 57.4 [12.9] years; 743 female participants [63%]), 1049 used in-person care (mean [SD] age 63.0 [12.2] years; 577 female participants [55%]), and 1547 used mixed care (mean [SD] age 60.7 [12.5] years; 881 female participants [57%]). Among telemedicine-only patients, there was no significant change in adjusted HbA1c at 12 months (-0.06%; 95% CI, -0.26% to 0.14%; P = .55) while in-person and mixed cohorts had improvements of 0.37% (95% CI, 0.15% to 0.59%; P < .001) and 0.22% (95% CI, 0.07% to 0.38%; P = .004), respectively. Patients with a baseline HbA1c of 8% or higher had a similar pattern of glycemic outcomes. For patients prescribed multiple daily injections vs no insulin, the 12-month estimated change in HbA1c was 0.25% higher (95% CI, 0.02% to 0.47%; P = .03) for telemedicine vs in-person care. Comorbidities were not associated with HbA1c change in any cohort. Conclusions and Relevance: In this cohort study of adults with T2D receiving endocrinology care, patients using telemedicine alone had inferior glycemic outcomes compared with patients who used in-person or mixed care. Additional strategies may be needed to support adults with T2D who rely on telemedicine alone to access endocrinology care, especially for those with complex treatment or elevated HbA1c.

Adaptations for remote research work: a modified web-push strategy compared to a mail-only strategy for administering a survey of healthcare experiences.

BACKGROUND: The COVID-19 pandemic required that our research team change our mail-only (MO) strategy for a research survey to a strategy more manageable by staff working remotely. We used a modified web-push approach (MWP), in which patients were mailed a request to respond online and invited to call if they preferred the questionnaire by mail or phone. We also changed from a pre-completion gift to a post-completion gift card incentive. Our objective is to compare response patterns between modes for a survey that used an MO strategy pre-pandemic followed by an MWP strategy peri-pandemic for data collection. METHODS: Observational study using data from a national multi-scale survey about patients' experience of specialty care coordination administered via MO in 2019 and MWP from 2020 to 2021 to Veterans receiving primary care and specialty care within the Veterans Health Administration (VA). We compared response rates, respondent characteristics and responses about care coordination between MO and MWP, applying propensity weights to account for differences in the underlying samples. RESULTS: The response rate was lower for MWP vs. MO (13.4% vs. 36.6%), OR = 0.27, 95% CI = 0.25-0.30, P < .001). Respondent characteristics were similar across MO and MWP. Coordination scale scores tended to be slightly higher for MWP, but the effect sizes for these differences between modes were small for 9 out of 10 scales. CONCLUSIONS: While the logistics of MWP survey data collection are well-suited to the remote research work environment, response rates were lower than those for the MO method. Future studies should examine addition of multi-mode contacts and/or pre-completion incentives to increase response rates for MWP.

Variation in telehealth use for endocrine care: Patterns and predictors under the "new normal".

INTRODUCTION: Use of telehealth for outpatient endocrine care remains common since onset of the COVID-19 pandemic, though the context for its use has matured. We aimed to describe the variation in telehealth use for outpatient endocrine visits under these "new normal" conditions and examine the patient, clinician-, and organization-level factors predicting use. METHODS: Retrospective cross-sectional study using data from the U.S. Department of Veterans Affairs (VA) Corporate Data Warehouse on 167,017 endocrine visits conducted between 3/9/21 and 3/8/22. We used mixed effects logistic regression models to examine 1) use of telehealth vs. in-person care among all visits and 2) use of telephone vs. video among the subsample of telehealth visits. RESULTS: Visits were in person (58%), by telephone (29%), or by video (13%). Unique variability in telehealth use at each level of the analysis was 56% patient visit, 24% clinician, 18% facility. The strongest predictors were visit type (first vs. follow up) and clinician and facility characteristics. Among telehealth visits, unique variability in telephone (vs. video) use at each level was 44% patient visit, 24% clinician, 26% facility. The strongest predictors of telephone vs. video were visit type, patient age, and percent of the facility's population that was rural. CONCLUSIONS: We found wide variation in use of telehealth for endocrinology under the "new normal". Future research should examine clinician and facility factors driving variation, as many may be amenable to influence by clinical leaders and leveraged to enhance the availability of telehealth for all clinically appropriate patients.

Use of Structured Templates to Improve Completeness of Endocrinology Referrals.

OBJECTIVE: Endocrinology referrals frequently lack important clinical information, which may increase the risk of inefficiency and adverse outcomes. This quality improvement project aimed to improve the completeness of new referrals by utilizing structured referral templates for common endocrine conditions at a large Veterans Health Administration medical center. Our target was of at least a 30% improvement in referral completeness for each condition after the intervention. METHODS: Electronic structured referral templates were designed utilizing existing resources and input from primary care providers and endocrinologists. Essential elements were identified and included in the templates. We conducted a retrospective chart review to compare referrals for 125 patients referred between January 1, 2021 and September 1, 2021 (preintervention) and 125 patients referred between October 1, 2021 and September 30, 2022 (postintervention). Each referral was rated using a scoring system derived from the criteria in the data abstraction tool formulated by the investigators. RESULTS: On average, preintervention referrals included 52% of the essential elements and postintervention referrals included 93%. Improvements in referral scores for each condition all met the prespecified 30% improvement target. The greatest improvement was for the element "type of visit preference." A separate analysis excluding that element showed an average improvement from 64% of essential elements preintervention to 92% postintervention. CONCLUSION: Structured referral templates, designed with the input of primary care providers and endocrinologists and embedded into an electronic referral system, can improve the availability of essential information and increase the quality of referrals. Future work should examine the effect of structured referral templates on efficiency, specialist experience, patient experience of care, and clinical outcomes.

Development and Validation of Quality Measures for Testosterone Prescribing.

Context: Accurate measures to assess appropriateness of testosterone prescribing are needed to improve prescribing practices. Objective: This work aimed to develop and validate quality measures around the initiation and monitoring of testosterone prescribing. Methods: This retrospective cohort study comprised a national cohort of male patients receiving care in the Veterans Health Administration who initiated testosterone during January or February 2020. Using laboratory data and diagnostic codes, we developed 9 initiation and 7 monitoring measures. These were based on the current Endocrine Society guidelines supplemented by expert opinion and prior work. We chose measures that could be operationalized using national VA electronic health record (EHR) data. We assessed criterion validity for these 16 measures by manual review of 142 charts. Main outcome measures included positive and negative predictive values (PPVs, NPVs), overall accuracy (OA), and Matthews Correlation Coefficients (MCCs). Results: We found high PPVs (>78%), NPVs (>98%), OA (≥94%), and MCCs (>0.85) for the 10 measures based on laboratory data (5 initiation and 5 monitoring). For the 6 measures relying on diagnostic codes, we similarly found high NPVs (100%) and OAs (≥98%). However, PPVs for measures of acute conditions occurring before testosterone initiation (ie, acute myocardial infarction or stroke) or new conditions occurring after initiation (ie, prostate or breast cancer) PPVs were much lower (0% to 50%) due to few or no cases. Conclusion: We developed several valid EHR-based quality measures for assessing testosterone-prescribing practices. Deployment of these measures in health care systems can facilitate identification of quality gaps in testosterone-prescribing and improve care of men with hypogonadism.

Comparison of Endocrinologists' Physical Examination Documentation for In-person vs Video Telehealth Diabetes Visits.

Objective: Outpatient diabetes mellitus (DM) care over video telehealth (TH) requires modifications to how endocrinologists complete physical examinations (PEs). But there is little guidance on what PE components to include, which may incur wide variation in practice. We compared endocrinologists' documentation of DM PE components for in-person (IP) vs TH visits. Methods: Retrospective chart review of 200 notes for new patients with DM from 10 endocrinologists (10 IP and 10 TH visits each) in the Veterans Health Administration between April 1, 2020, and April 1, 2022. Notes were scored from 0 to 10 based on documentation of 10 standard PE components. We compared mean PE scores for IP vs TH across all clinicians using mixed effects models. Independent samples t-tests were used to compare both mean PE scores within clinician and mean scores for each PE component across clinicians for IP vs TH. We described virtual care-specific and foot assessment techniques. Results: The overall mean (SE) PE score was higher for IP vs TH (8.3 [0.5] vs 2.2 [0.5]; P < .001). Every endocrinologist had higher PE scores for IP vs TH. Every PE component was more commonly documented for IP vs TH. Virtual care-specific techniques and foot assessment were rare. Conclusions: Our study quantifies the degree to which Pes for TH were attenuated among a sample of endocrinologists, raising a flag that process improvements and research are needed for virtual Pes. Organizational support and training could help increase PE completion via TH. Research should examine reliability and accuracy of virtual PE, its value to clinical decision-making, and its impact on clinical outcomes.

Association Between Preoperative Diabetes Control and Postoperative Adverse Events Among Veterans Health Administration Patients With Diabetes Who Underwent Elective Ambulatory Hernia Surgery.

This cohort study examines the association between same-day preoperative glycemic control and postoperative adverse events among patients with diabetes undergoing ambulatory hernia surgery.

Secure Messaging for Diabetes Management: Content Analysis.

BACKGROUND: Secure messaging use is associated with improved diabetes-related outcomes. However, it is less clear how secure messaging supports diabetes management. OBJECTIVE: We examined secure message topics between patients and clinical team members in a national sample of veterans with type 2 diabetes to understand use of secure messaging for diabetes management and potential associations with glycemic control. METHODS: We surveyed and analyzed the content of secure messages between 448 US Veterans Health Administration patients with type 2 diabetes and their clinical teams. We also explored the relationship between secure messaging content and glycemic control. RESULTS: Explicit diabetes-related content was the most frequent topic (72.1% of participants), followed by blood pressure (31.7% of participants). Among diabetes-related conversations, 90.7% of patients discussed medication renewals or refills. More patients with good glycemic control engaged in 1 or more threads about blood pressure compared to those with poor control (37.5% vs 27.2%, P=.02). More patients with good glycemic control engaged in 1 more threads intended to share information with their clinical team about an aspect of their diabetes management compared to those with poor control (23.7% vs 12.4%, P=.009). CONCLUSIONS: There were few differences in secure messaging topics between patients in good versus poor glycemic control. Those in good control were more likely to engage in informational messages to their team and send messages related to blood pressure. It may be that the specific topic content of the secure messages may not be that important for glycemic control. Simply making it easier for patients to communicate with their clinical teams may be the driving influence between associations previously reported in the literature between secure messaging and positive clinical outcomes in diabetes.

Endocrinologists' Experiences With Telehealth: A Qualitative Study With Implications for Promoting Sustained Use.

OBJECTIVE: Endocrinology is well-suited to telehealth, with high rates of use and known benefits. Clinician attitudes toward telehealth will be critical to ensuring sustained use after the pandemic. We examined endocrinologists' experiences with synchronous telehealth to identify factors affecting experiences with and acceptance of the technology. METHODS: We conducted qualitative interviews and directed-content analysis with a purposive sample of 26 U.S. endocrinologists. Factors affecting clinicians' experiences were mapped to the human-organization-technology fit (HOT-fit) framework. RESULTS: We found that clinicians' experiences with synchronous telehealth were influenced by: (1) Clinician factors: Clinicians welcomed telehealth but expressed concerns about patient interest, rapport building, and clinical appropriateness, desiring more data to support its use. Many clinicians feared missing clinical findings on virtual examination, despite no such personal experiences. Effects on professional and personal life contributed to satisfaction, through increased flexibility but also increased workload. (2) Organizational factors: Departmental meetings and trainings supported clinicians' technical, logistical, and clinical needs, reducing resistance to telehealth use. Shifting staff responsibilities in clinical workflows improved clinicians' experiences and supported telehealth use, while mixed telehealth and in-person schedules impeded workflow. (3) Technology factors: Most clinicians preferred video visits to telephone. Usability and reliability of telehealth platforms, integration of patient self-monitoring data, and availability of IT support were crucial to a positive experience. CONCLUSION: Clinician acceptance of telehealth is influenced by clinician, organizational, and technology factors that can be leveraged to improve buy-in. Organizational leaders' attention to addressing these factors will be critical to support endocrinologists' continued provision of telehealth for their patients.

Scoping Review of Pulmonary Telemedicine Consults: Current Knowledge and Research Gaps.

Rationale: Telemedicine consults, including video consults, telephone consults, electronic consults, and virtual conferences, may be particularly valuable in the management of chronic pulmonary diseases, but there is limited guidance on best practices for pulmonary telemedicine consults. Objectives: This scoping review aims to identify, characterize, and analyze gaps in the published literature on telemedicine consults health providers use to manage patients with chronic pulmonary diseases. Methods: We searched PubMed, Embase, Web of Science, and Cochrane Library from database origin through July 10, 2021. We included manuscripts describing applications of telemedicine consults for patients with chronic pulmonary diseases (asthma, chronic obstructive pulmonary disease, lung cancer, pulmonary hypertension, and interstitial lung disease). We restricted our review to full-length articles published in English about provider-led (as opposed to nurse-led) telemedicine consults. Results: Our search yielded 3,118 unique articles; 27 articles met the inclusion criteria. All telemedicine consult modalities and chronic pulmonary conditions were well represented in the review except for pulmonary hypertension and interstitial lung disease, which were represented by one and no articles, respectively. Most articles described a small, single-center, observational study that focused on the acceptability, feasibility, use, and/or clinical effectiveness of the telemedicine consult. Few studies had objectively measured clinical outcomes or included a comparator group, and none compared telemedicine consult modalities against one another. Conclusions: Our scoping review identified limited literature describing pulmonary telemedicine consults and highlighted several gaps in the literature that warrant increased attention. Providers treating chronic pulmonary diseases are left with limited guidance on best practices for telemedicine consults.

Understanding suboptimal e-consult requests: lessons from the VA.

OBJECTIVES: Electronic consultations, or e-consults, which are requests for specialist advice without direct patient interaction, are becoming increasingly common across health systems. We sought to identify clinicians' perspectives on the quality of e-consult requests that they send and receive. STUDY DESIGN: A qualitative research study at the US Department of Veterans Affairs (VA) New England Healthcare System. METHODS: We interviewed a total of 73 clinicians, including 38 specialists across 3 specialties (cardiology, neurology, pulmonology) and 35 primary care clinicians (PCCs), between March and June 2019. The interviews were analyzed using thematic analysis. RESULTS: VA specialists and PCCs generally agreed that e-consult requests should be focused and precise, not require lengthy chart review, and include adequate preliminary workup results. At the same time, specialists expressed frustration with what they perceived as suboptimal e-consult requests. Interviewees attributed this gap to 3 factors: limitations of the electronic health record user interface, divergence between PCCs and specialists in the areas of expertise, and organizational pressures on the 2 groups. CONCLUSIONS: VA clinicians' perspectives on suboptimal requests contain lessons that are broadly applicable to other health systems that seek to maximize the potential of e-consults to facilitate clinician collaboration and care coordination.

Towards a framework for patient-centred care coordination: a scoping review protocol.

INTRODUCTION: Patient-centred care and care coordination are each key priority areas for delivering high quality healthcare. However, the intersection between these two concepts is poorly characterised. We theorise that greater advancements in healthcare quality could be realised when care is organised in a way that aligns with patients' preferences, needs and values across every level of the healthcare system. There is currently no published review that describes the intersection of patient-centred care and care coordination. We will undertake a scoping review that will be foundational to the development of a conceptual framework for patient-centred care coordination that integrates and synthesises the overlap between these two concepts and describe how it manifests across levels of the healthcare system. METHODS AND ANALYSIS: A multidisciplinary team of reviewers will conduct a scoping review of published and grey literature to identify and synthesise key concepts at the intersection of patient-centred care and care coordination, following Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Reviews guidance for scoping reviews. Databases we will use in our search include PubMed, CINAHL, Embase, Social Sciences Abstracts, Nursing and Allied Health Premium, Health and Medical Collection, and PsycINFO. Articles will be included that are English-language; published during or after 2001; describe a theory, conceptual model, theoretical framework or definition that addresses both patient-centred care and care coordination. Articles will be excluded if they do not address the intersection of patient-centred care and care coordination; discuss a patient-centred medical home without discussion on patient-centred care concepts; or discuss a paediatric, inpatient or palliative care setting. A data extraction template will facilitate qualitative thematic analysis and findings will be synthesised into a conceptual framework. ETHICS AND DISSEMINATION: This work does not require ethics approval. A preliminary framework will be presented to a group of patient stakeholders for refinement before dissemination through a peer-reviewed journal and conference presentations.

Text messaging to increase patient engagement in a large health care for the homeless clinic: Results of a randomized pilot study.

Objectives: To assess the feasibility and effectiveness of text messaging to increase outpatient care engagement and medication adherence in an urban homeless population in Boston. Methods: Between July 2017 and April 2018, 62 patients from a clinic serving a homeless population were sent automated text messages for four months. Messages were either appointment reminders and medication adherence suggestions (intervention group) or general health promotion messages (control group). Medical records were reviewed to evaluate appointment keeping, emergency room (ER) use, and hospitalizations. Pre- and post-surveys were administered to measure self-reported medication adherence. Results: No significant differences were found in inpatient or outpatient care between the intervention and control groups, though differences in no-show rates and medication adherence approached significance. Appointment no-show rates were 21.0% vs. 30.6% (p = 0.08) for intervention and control, respectively, and rates of completed appointments were 65.8% vs. 56.7% (p = 0.12). Mean ER visits were 3.86 vs 2.33 (p = 0.16) for intervention and control groups, and mean inpatient admissions were 0.6 versus 1.24 (p = 0.42). Self-reported medication adherence increased from 8.27 to 9.84 in intervention participants, compared to an increase from 8.27 to 8.68 in control participants (p = 0.07), on a 1-11 scale. Conclusions: Text messaging showed the potential to improve patient engagement in care and medication adherence in an urban homeless population (findings approaching but not achieving statistical significance). Work is needed to enhance the effectiveness of text-messaging interventions, which may involve increasing ease of use for mobile phones and texting apps, and addressing high rates of phone theft and loss.

Appropriate Use of Telehealth Visits in Endocrinology: Policy Perspective of the Endocrine Society.

OBJECTIVE: This work aims to guide clinicians practicing endocrinology in the use of telehealth (synchronous patient-clinician visits conducted over video or telephone) for outpatient care. PARTICIPANTS: The Endocrine Society convened a 9-member panel of US endocrinologists with expertise in telehealth clinical care, telehealth operations, patient-centered care, health care delivery research, and/or evidence-based medicine. EVIDENCE: The panel conducted a literature search to identify studies published since 2000 about telehealth in endocrinology. One member extracted a list of factors affecting the quality of endocrine care via telehealth from the extant literature. The panel grouped these factors into 5 domains: clinical, patient, patient-clinician relationship, clinician, and health care setting and technology. CONSENSUS PROCESS: For each domain, 2 or 3 members drew on existing literature and their expert opinions to draft a section examining the effect of the domain's component factors on the appropriateness of telehealth use within endocrine practice. Appropriateness was evaluated in the context of the 6 Institute of Medicine aims for health care quality: patient-centeredness, equity, safety, effectiveness, timeliness, and efficiency. The panel held monthly virtual meetings to discuss and revise each domain. Two members wrote the remaining sections and integrated them with the domains to create the full policy perspective, which was reviewed and revised by all members. CONCLUSIONS: Telehealth has become a common care modality within endocrinology. This policy perspective summarizes the factors determining telehealth appropriateness in various patient care scenarios. Strategies to increase the quality of telehealth care are offered. More research is needed to develop a robust evidence base for future guideline development.

Clinical Appropriateness of Telehealth: A Qualitative Study of Endocrinologists' Perspectives.

Background: Outpatient endocrinology care delivered by telehealth is likely to remain common after the pandemic. There are few data to guide endocrinologists' judgments of clinical appropriateness (safety and effectiveness) for telehealth by synchronous video. We examined how, in the absence of guidelines, endocrinologists determine clinical appropriateness for telehealth, and we identified their strategies to navigate barriers to safe and effective use. Methods: We conducted qualitative, semi-structuredinterviews with 26 purposively selected US endocrinologists. We used a directed content analysis to characterize participant perceptions of which patients and situations were clinically appropriate for telehealth and to identify adaptations they made to accommodate telehealth visits. Results: Endocrinologists' perspectives about appropriateness for telehealth were influenced by clinical considerations, nonclinical patient factors, and the type and timing of the visit. These factors were weighed differently across individual participants according to their risk tolerance, values related to the physical examination and patient relationships, and impressions of patient capabilities and preferences. Some participants made practice adaptations that increased their comfort offering telehealth to a wider swath of patients. Conclusions: Endocrinologists' judgments about clinical appropriateness of telehealth for different patient situations varied widely across participants. The risk of such divergent approaches to determining appropriateness is unintended and clinically unwarranted variation in use of telehealth, compromising quality of care. Expert consensus is needed to guide endocrinologists now, along with studies to anchor future evidence-based guidelines for determining clinical appropriateness of telehealth in endocrinology.