Roles and competencies of the clinical psychologist in adult diabetes care-A consensus report.

AIMS: Psychological care is recognised as an integral part of quality diabetes care. We set out to describe the roles and competencies of the clinical psychologist as a member of the multidisciplinary adult diabetes care team, focused on secondary care. METHODS: The authors are clinically experienced psychologists involved in adult diabetes care, from Australia, Europe and North America, and active members of the international psychosocial aspects of diabetes study group. Consensus was reached as a group on the roles and competencies of the clinical psychologist working in adult diabetes secondary care, building both on expert opinion and a selective review and discussion of the literature on psychological care in diabetes, clinical guidelines and competency frameworks. RESULTS: The clinical psychologist fulfils multiple roles: (1) as a clinician (psychological assessment and therapy), (2) as advisor to the healthcare team (training, consulting), (3) as a communicator and promotor of person-centred care initiatives and (4) as a researcher. Four competencies that are key to successfully fulfilling the above-mentioned roles in a diabetes setting are as follows: (a) specialised knowledge, (b) teamwork and advice, (c) assessment, (d) psychotherapy (referred to as STAP framework). CONCLUSIONS: The roles and competencies of clinical psychologists working in diabetes extend beyond the requirements of most university and post-graduate curricula. There is a need for a comprehensive, accredited specialist post-graduate training for clinical psychologists working in diabetes care, building on the proposed STAP framework. This calls for a collaborative effort involving diabetes organisations, clinical psychology societies and diabetes psychology interest groups.

Developing and exploring the validity of a patient reported experience measure for adult inpatient diabetes care.

AIM: To develop and explore the validity of a Patient Reported Experience Measure (PREM) for adult inpatient diabetes care. METHOD: 27 in-depth interviews were conducted to inform the development of the 42-item PREM which was cognitively tested with 10 people. A refined 38-item PREM was piloted with 228 respondents completing a paper (n = 198) or online (n = 30) version. The performance of the PREM was evaluated by exploring (i) uptake/number of responses and (ii) survey validity by investigating whether the PREM data were of adequate quality and delivered useful information. RESULTS: The PREM had low drop-out or missing data rates suggesting it was appropriately constructed. Analysis of item frequencies and variances, and problem score calculations concluded that questions provided sufficient score differentiation. CONCLUSIONS: This new PREM allows for experiences of inpatient diabetes care to be measured, understood and reported on to help identify priority areas for improving care quality.

Association between low cognitive performance and diabetes-related health indicators across racial and ethnic groups in adults with diabetes.

AIM: To examine the associations between low cognitive performance (LCP) and diabetes-related health indicators (including body mass index [BMI], HbA1c, systolic blood pressure [SBP], low-density lipoprotein [LDL] and self-reported poor physical health) and whether these associations vary across racial/ethnic subgroups. METHODS: We identified adults aged 60 years or older with self-reported diabetes from the 2011-2014 National Health and Nutrition Examination Survey. Individuals with cognitive test scores in the lowest quartile were defined as having LCP. We used regression models to measure the associations of LCP with diabetes-related biometrics (BMI, HbA1c, SBP and LDL); and self-reported poor physical health. Moreover, we explored potential variations in these associations across racial/ethnic subgroups. RESULTS: Of 873 (261 with LCP) adults with diabetes, LCP was associated with higher HbA1c, SBP and LDL (adjusted difference: 0.41%, 5.01 mmHg and 5.08 mg/dL, respectively; P < .05), and greater odds of reporting poor physical health (adjusted odds ratio: 1.59, P < .05). The association between LCP and HbA1c was consistent across racial/ethnic groups, and notably pronounced in Hispanic and Other. BMI worsened with LCP, except for non-Hispanic Black. Excluding the Other group, elevated SBP was observed in people with LCP, with Hispanic showing the most significant association. LDL levels were elevated with LCP for Hispanic and Other. Physical health worsened with LCP for both non-Hispanic Black and Hispanic. CONCLUSIONS: We quantified the association between LCP and diabetes-related health indicators. These associations were more pronounced in Hispanic and Other racial/ethnic groups.

Optimizing physician-encounter frequency for type 2 diabetes patients in primary care based on cardiovascular risk assessment: A target trial emulation study.

AIM: To investigate whether the physician-encounter interval for patients with type 2 diabetes (T2D) can be optimized from 2-3 to 4-6 months among those with a calculated 10-year cardiovascular disease (CVD) risk score of less than 20% without compromising their long-term outcomes. MATERIALS AND METHODS: Using territory-wide public electronic medical records in Hong Kong, we emulated a target trial to compare the effectiveness of the physician-encounter intervals of 4-6 versus 2-3 months for T2D patients without prior CVDs and with a predicted risk for CVDs of less than 20% (i.e. those patients not in the high-risk category). Propensity score matching was used to emulate the randomization of participants at baseline, where 42 154 matched individuals were included for analysis. The marginal structural model was applied to estimate the hazard ratio (HR) for CVD incidence and all-cause mortality, the incidence rate ratio of secondary and tertiary care utilization, as well as the between-group differences in HbA1c, blood pressure and cholesterol levels. RESULTS: During a follow-up period of up to 12 (average: 5.1) years, there was no significantly increased risk of CVD in patients with physician-encounter intervals of 4-6 months compared with those patients with physician-encounter intervals of 2-3 months (HR [95% confidence interval {CI}]: 1.01 [0.90, 1.14]; standardized 10-year risk difference [95% CI]: -0.1% [-0.7%, 0.6%]), nor for all-cause mortality (HR: 1.00 [0.84, 1.20]; standardized 10-year risk difference: -0.1% [-0.5%, 0.3%]). Additionally, there was no observable difference in the utilization of secondary and tertiary care or key clinical parameters between these two follow-up frequencies. CONCLUSIONS: For T2D patients with a calculated 10-year CVD risk of less than 20%, the interval of regular physician encounters can be optimized from 2-3 to 4-6 months without compromising patients' long-term outcomes and saving substantial service resources in primary care.

Metabolic risk factor targets in relation to clinical characteristics and comorbidities among individuals with type 2 diabetes treated in primary care - The countrywide cross-sectional AUSTRO-PROFIT study.

AIMS: This study assessed the achievement rates of metabolic risk factor targets and their association with clinical characteristics and comorbidities among individuals with type 2 diabetes (T2D) treated in the primary care in Austria. MATERIALS AND METHODS: A countrywide cross-sectional study, the AUSTRO-PROFIT, was conducted in Austria from 2021 to 2023 on 635 individuals with T2D. Metabolic risk factor targets were defined as the percentage of people achieving low-density lipoprotein cholesterol (LDL-C) <70 mg/dL (or < 55 mg/dL if cardiovascular or microvascular disease was present), glycated haemoglobin (HbA1c) <7% (53 mmol/mol) and blood pressure < 140/90 mmHg. RESULTS: The mean age of the participants was 65.7 ± 11.2 years; the median duration of T2D was 8 (4-14) years; and 58.7% of the participants were male. The percentages of participants achieving LDL-C, HbA1c, blood pressure and all targets were 44%, 53%, 57% and 13%, respectively. Older age, longer T2D duration, cardiovascular disease and microvascular complications were associated with suboptimal achievement of metabolic risk factor targets. CONCLUSIONS: The AUSTRO-PROFIT study revealed notable variations in metabolic targets achievement with respect to clinical characteristics and comorbidities. These findings underscore the importance of establishing national diabetes registries and implementing multifactorial targeted and individualized interventions to further improve the quality of T2D care in primary care settings in Austria.

Treatment approaches and costs associated with diabetes clinical metrics as measured by Healthcare Effectiveness Data and Information Set (HEDIS).

BACKGROUND: The clinical outcomes of diabetes can be influenced by primary care providers' (PCP) treatment approaches. This study explores the association between PCP approaches to management and performance measured by established diabetes metrics and related costs. METHODS: In phase one, Electronic Medical Records were used to extract diabetes related metrics using Healthcare Effectiveness Data and Information Set (HEDIS), for patients with diabetes who had office visits to 44 PCP practices from April 2019 to March 2020. Using those metrics and scoring system, PCP practices were ranked and then categorized into high- and low-performing groups (top and bottom 25%, n = 11 each), with a total of 19,059 clinic visits by patients with a diagnosis of diabetes. Then extensive analysis was performed to evaluate a correlation between treatment approaches and diabetes outcomes across the top and bottom performing practices. In phase 2, patients with diabetes who were attributed to the aforementioned PCP practices were identified in a local health plan claims data base (a total of 3,221 patients), and the allowed amounts from their claims were used to evaluate differences in total and diabetes-related healthcare costs by providers' performance. RESULTS: Comparing 10,834 visits in high-performing practices to 8,235 visits in low-performing practices, referrals to certified diabetes care and education specialists and provider-to-provider electronic consults (e-consults) were higher in high-performing practices (Z = 6.06, p < .0001), while traditional referrals were higher in low-performing practices (Z = -6.94, p < .0001). The patient-to-provider ratio was higher in the low-performing group (M = 235.23) than in the high-performing group (M = 153.26) (Z = -2.82, p = .0048). Claims data analysis included 1,825 and 1,396 patients from high- and low-performing providers, respectively. The patient-to-provider ratio was again higher in the low-performing group (p = .009, V = 0.62). Patients receiving care from lower-performing practices were more likely to have had a diabetes-related hospital observation (5.7% vs. 3.9%, p = .02; V = 0.04) and higher diabetes-related care costs (p = .002; d = - 0.07); these differences by performance status persisted when controlling for differences in patient and physician characteristics. Patients seeing low-performing providers had higher Charlson Comorbidity Index scores (Mdn = 3) than those seeing high-performing providers (Mdn = 2). CONCLUSIONS: Referrals to the CDCES and e-Consult were associated with better measured diabetes outcomes, as were certain aspects of cost and types of hospital utilization. Higher patients to providers ratio and patients with more comorbidities were observed in low performing group.

Living with schizophrenia and type 2 diabetes and the implication for diabetes self-care: A qualitative study.

AIM: To achieve an in-depth understanding of the challenges associated with diabetes management when having both schizophrenia and type 2 diabetes, while also identifying the needs for improved diabetes self-care. DESIGN: The study employed a qualitative explorative design utilizing a phenomenological-hermeneutic inspired approach, involving field observations and individual semistructured interviews. METHODS: Data were collected during 2020-2021 through 17 field observations of outpatient consultations and 13 individual semistructured interviews. Data, including field notes and verbatim transcribed interviews, underwent analysis following Ricoeur's interpretive philosophy, encompassing three levels: naïve reading, structural analysis and critical interpretation and discussion. This study adheres to the COREQ guidelines for qualitative research. RESULTS: Three key themes emerged: 'Diabetes when life is noisy', 'Sacrifices and compromises in life' and 'The double silence'. Everyday life is significantly affected when having both schizophrenia and T2D. The mental health state dominates in relation to diabetes self-care and individuals experience challenges balancing between the two conditions. However, there exists a general acknowledgement for diabetes and its long-term complications as a serious medical condition demanding careful attention and treatment. CONCLUSION: Self-managing two such complex conditions can be overwhelming and make it difficult for the individual to differentiate symptoms and prioritize diabetes care. Moreover, the existing fragmentation within healthcare systems poses communication challenges, resulting in disjointed patient pathways. IMPLICATIONS FOR PATIENT CARE: The study emphasizes the need for a holistic re that addresses the physical, emotional and social challenges. There is also a need for increased awareness and education among informal caregivers and healthcare professionals to foster better understanding and support.

"I Haven't Told Anyone but You": Experiences and Biopsychosocial Support Needs of People With Type 2 Diabetes and Binge Eating.

Up to 25% of people with type 2 diabetes (T2D) may binge eat which is almost 10 times as many as in the general population. Binge eating is associated with depression, anxiety, and social isolation. Moreover, binge eating may increase the risk of obesity and high blood glucose levels, both of which can accelerate the onset of complications to diabetes and death in people with T2D. Still, little is known about the experiences, needs, and preferences of people with T2D and binge eating that can inform and develop current and future treatment efforts. The aim of the study was therefore to gain in-depth insights into the experiences and biopsychosocial support needs of women and men with T2D and binge eating. Twenty semi-structured individual interviews (65% with females) were conducted and analyzed according to the methodology of Interpretive Description. Four themes were identified: (a) T2D and binge eating: Feeling trapped in a vicious circle; (b) Unwanted outcasts: Responding to continuous criticism; (c) Biomedical relief: Blaming and adjusting the body; and, (d) Silent struggles: Wanting to cease the secrecy. Pertinent to all themes were the guilt, shame, and worries about developing complications that the participants experienced when binge eating despite having T2D. Although binge eating triggered emotional distress, binge eating was at the same time a way of coping with such distress. Implications for treatment and future research are discussed, including the need to systematically assess and address binge eating in routine T2D care.

Patient-Reported Outcomes Improve with a Virtual Diabetes Care Model that Includes Continuous Glucose Monitoring.

Background: The objective was to examine patient-reported outcomes (PROs) associated with access to a virtual clinic model for diabetes care. Methods: Adults with diabetes (N = 234) received virtual care, including support for continuous glucose monitoring (CGM) over a 6-month study period. Care was led by a Certified Diabetes Care and Education Specialist and focused on optimizing self-management skills and response to glucose values observed on CGM. After 6 months of CGM use and access to diabetes education, participants could opt in to another 6 months of follow-up with access to the virtual care team. Participants completed PRO surveys and had health and glycemic measures collected at baseline, 3, 6, and 12 months. Results: Participants with type 1 diabetes (N = 160) were 44 ± 14 years and had mean baseline HbA1c of 61 mmol/mol (7.7%). Participants with type 2 diabetes (N = 74) were 52 ± 12 years and had mean baseline HbA1c of 66 mmol/mol (8.2%). Compared with baseline levels, at 6 months participants experienced less depression, diabetes distress, and hypoglycemic fears while also experiencing greater satisfaction with glucose monitoring, diabetes technology and specifically with CGM, and confidence for managing hypoglycemic (p < 0.05). For participants with type 1 diabetes, more time in the target range for glucose levels (70-180 mg/dL) was associated with less depression, diabetes distress, and hypoglycemic fears. Conclusions: PROs improved for adults with diabetes utilizing virtual diabetes care, including support for CGM use. Paired with the glycemic improvements observed in this virtual clinic study, there were robust benefits on the quality of life of adults with diabetes. ClinicalTrials.gov Identifier: NCT04765358.

Improved Glycemic Control through Robot-Assisted Remote Interview for Outpatients with Type 2 Diabetes: A Pilot Study.

Background and Objectives: Our research group developed a robot-assisted diabetes self-management monitoring system to support Certified Diabetes Care and Education Specialists (CDCESs) in tracking the health status of patients with type 2 diabetes (T2D). This study aimed to evaluate the impact of this system on glycemic control and to identify suitable candidates for its use. Materials and Methods: After obtaining written informed consent from all participants with T2D, the CDCESs conducted remote interviews with the patients using RoBoHoN. All participants completed a questionnaire immediately after the experiment. HbA1c was assessed at the time of the interview and two months later, and glycemic control status was categorized as either "Adequate" or "Inadequate" based on the target HbA1c levels outlined in the guidelines for adult and elderly patients with type 2 diabetes by the Japan Diabetes Society. Patients who changed their medication regimens within the two months following the interview were excluded from the study. Results: The clinical characteristics of the 28 eligible patients were as follows: 67.9 ± 14.8 years old, 23 men (69%), body mass index (24.7 ± 4.9 kg/m2), and HbA1c levels 7.16 ± 1.11% at interview and two months later. Glycemic control status (GCS) was Adequate (A) to Inadequate (I): 1 case; I to A: 7 cases; A to A good: 14 cases; I to I: 6 cases (p-value = 0.02862 by Chi-square test). Multiple regression analyses showed that Q1 (Did RoBoHoN speak clearly?) and Q7 (Was RoBoHoN's response natural?) significantly contributed to GCS, indicating that the naturalness of the responses did not impair the robot-assisted interviews. The results suggest that to improve the system in the future, it is more beneficial to focus on the content of the conversation rather than pursuing superficial naturalness in the responses. Conclusions: This study demonstrated the efficacy of a robot-assisted diabetes management system that can contribute to improved glycemic control.

Call to action on diabetes care: reaching communities facing health inequalities, health inequities and deprivation.

This article presents evidence and policy on the importance of reaching out into local communities with inclusive approaches to try to reduce and prevent inequities and inequalities in diabetes care. The global emergency diabetes is causing and the risks and disproportionately high ethnic disparities are investigated. The article includes some suggestions on changing approaches to reduce health inequalities to enable diabetes care to become more accessible for those who need it the most.

The Impact of Reimbursement for Non-Face-to-Face Chronic Care Management on Health Utilization Among Patients With Type 2 Diabetes in Louisiana.

OBJECTIVES: We evaluated the impact of reimbursement for non-face-to-face chronic care management (NFFCCM) on healthcare utilization among Medicare beneficiaries with type 2 diabetes in Louisiana. METHODS: We implemented group-based trajectory balancing and propensity score matching to obtain comparable treatment (with NFFCCM) and control (without NFFCCM) groups at baseline. Patients with diabetes with Medicare as their primary payer at baseline were extracted using electronic health records of 3 health systems from Research Action for Health Network, a Clinical Research Network. The study period is from 2013 to early 2020. Our outcomes include general healthcare utilization (outpatient, emergency department, and inpatient encounters) and health utilization related to diabetic complications. We tested each of these outcomes according to multiple treatment definitions and different subgroups. RESULTS: Receiving any NFFCCM was associated with an increase in outpatient visits of 657 (95% confidence interval [CI] 626-687; P < .001) per 1000 patients per month, a decrease in inpatient admissions of 5 (95% CI 2-7; P < .001) per 1000 patients per month, and a decrease in emergency department visits of 4 (95% CI 1-7; P = .005) per 1000 patients per month after 24-month follow-up from initial NFFCCM encounter. Both complex and noncomplex NFFCCM significantly increased visits to outpatient services and inpatient admissions per month. Receiving NFFCCM has a dose-response association with increasing outpatient visits per month. CONCLUSIONS: Patients with diabetes in Louisiana who received NFFCCM had more low-cost primary healthcare and less high-cost healthcare utilization in general. The cost savings of NFFCCM in diabetes management could be further explored in the future.

The impact of Community Health Centers on inappropriate use of emergency services.

Community Health Centers offer coordinated and comprehensive responses to primary care needs. Our study aims at assessing whether the introduction of such organizational model improved health outcomes measured by inappropriate emergency visits among diabetics in the Emilia-Romagna region of Italy. Using difference-in-differences methods within a staggered treatment setting, we estimate the effect of Community Health Center participation on inappropriate hospital emergency visits between year 2010 and year 2016. We distinguish between emergency department admissions for varying time spans, occurring at daytime during working days, at night-time, as well as during weekends. We show that, the causal effect of the adoption of the community care model leads to a reduction in the probability of inappropriate admissions by an amount ranging between 1.6 and 1.7% points during working days at daytime, with large facilities responsible for most gains by experiencing a decrease ranging between 4 and 3% points. Conversely, we detect no difference at night-time and during weekends. Our results point out that the coordinated care model increases appropriateness among vulnerable patients, and that extending opening hours and the range of services can further enhance such benefits.

The effect of COVID-19 pandemic on diabetes care indices in Southern Iran: an interrupted time series analysis.

BACKGROUND: Type 2 diabetes mellitus (T2DM) requires a continues bulk of cares. It is very probable COVID-19 pandemic is affected its healthcare coverage. METHODS: The interrupted time series analysis is used to model the trend of diabetes healthcare indices, such as the health worker visits, physician visits, body mass index (MBI), fasting blood sugar (FBS), and hemoglobin A1c (HbA1c), before and after the start of COVID-19 pandemic. The reference of data was the totals of all T2DM patients living in Fars Province, Southern Iran, areas covered by Shiraz University of Medical Science (SUMS), from 2019 to 2020. RESULTS: A significant decrease for visits by the health workers, and physicians was observed by starting COVID-19 pandemic (ß2 = -0.808, P < 0.001, ß2 = -0.560, P < 0.001); Nevertheless, the coverage of these services statistically increased by next months (ß3 = 0.112, P < 0.001, ß3 = 0.053, P < 0.001). A same pattern was observed for the number of BMI, FBS and HbA1c assessments, and number of refer to hospital emergency wards (ß3 = 0.105, P < 0.001; ß3 = 0.076, P < 0.001; ß3 = 0.022, P < 0.001; ß3 = 0.106, P < 0.001). The proportion of T2DM patients with HbA1C < 7%, and controlled hypertension during study period was statistically unchanged. CONCLUSIONS: When the COVID-19 pandemic was announced, T2DM healthcare coverage drastically decreased, but it quickly began to rebound. The health monitoring system could not have any noticeable effects on diabetes outcomes.

Patient's experiences of diabetes care at a tertiary health facility in Lilongwe, Malawi.

BACKGROUND: Little is known about experiences of rural people with diabetes care at a tertiary health facility in low-income settings. Understanding their experiences is essential for developing effective diabetes care interventions. METHODS: The study employed a qualitative narrative inquiry. Participants were identified at a diabetes clinic at a tertiary-level healthcare facility. Ten participants from the rural areas attending the diabetes clinic were purposively selected. Data were collected through in-depth interviews in the privacy of the homes of the study participants and analysis was done using the Riessman approach to thematic narrative analysis. RESULTS: In this study, the following four themes emerged: (1) the long pathway to a diagnosis of diabetes; (2) Poverty-related hardships and diabetic clinic attendance; (3) The impact of health worker attitudes and behavior on diabetes care; and (4) Low resources and their impact on self-management. CONCLUSIONS: Rural-based patients living with diabetes encounter enormous challenges as they access diabetes care. One of the challenges is delayed diagnosis of diabetes. There is a need to introduce point-of-care (POC) testing to improve diabetes diagnosis. In addition, there is a need to strengthen awareness campaigns among the population so that people are well informed about the signs and symptoms of diabetes to promote early diagnosis. Diabetes care must be decentralized from tertiary hospitals to primary health centers. This will improve access to diabetes care and reduce the burden associated with traveling a long distance to access diabetes care in Malawi.

Disparities in routine healthcare utilization disruptions during COVID-19 pandemic among veterans with type 2 diabetes.

BACKGROUND: While emerging studies suggest that the COVID-19 pandemic caused disruptions in routine healthcare utilization, the full impact of the pandemic on healthcare utilization among diverse group of patients with type 2 diabetes is unclear. The purpose of this study is to examine trends in healthcare utilization, including in-person and telehealth visits, among U.S. veterans with type 2 diabetes before, during and after the onset of the COVID-19 pandemic, by demographics, pre-pandemic glycemic control, and geographic region. METHODS: We longitudinally examined healthcare utilization in a large national cohort of veterans with new diabetes diagnoses between January 1, 2008 and December 31, 2018. The analytic sample was 733,006 veterans with recently-diagnosed diabetes, at least 1 encounter with veterans administration between March 2018-2020, and followed through March 2021. Monthly rates of glycohemoglobin (HbA1c) measurements, in-person and telehealth outpatient visits, and prescription fills for diabetes and hypertension medications were compared before and after March 2020 using interrupted time-series design. Log-linear regression model was used for statistical analysis. Secular trends were modeled with penalized cubic splines. RESULTS: In the initial 3 months after the pandemic onset, we observed large reductions in monthly rates of HbA1c measurements, from 130 (95%CI,110-140) to 50 (95%CI,30-80) per 1000 veterans, and in-person outpatient visits, from 1830 (95%CI,1640-2040) to 810 (95%CI,710-930) per 1000 veterans. However, monthly rates of telehealth visits doubled between March 2020-2021 from 330 (95%CI,310-350) to 770 (95%CI,720-820) per 1000 veterans. This pattern of increases in telehealth utilization varied by community type, with lowest increase in rural areas, and by race/ethnicity, with highest increase among non-hispanic Black veterans. Combined in-person and telehealth outpatient visits rebounded to pre-pandemic levels after 3 months. Despite notable changes in HbA1c measurements and visits during that initial window, we observed no changes in prescription fills rates. CONCLUSIONS: Healthcare utilization among veterans with diabetes was substantially disrupted at the onset of the pandemic, but rebounded after 3 months. There was disparity in uptake of telehealth visits by geography and race/ethnicity.

Managing comorbidities in chronic kidney disease reduces utilization and costs.

BACKGROUND: Effective management of comorbid diabetes and hypertension in patients with chronic kidney disease (CKD) is important for optimal outcomes. However, little is known about this relationship from a health plan perspective. The objective of this study was to evaluate the association of effective management of comorbid diabetes and/or hypertension with healthcare resource utilization (HCRU) in patients with chronic kidney disease (CKD). METHODS: This retrospective cohort study used the Humana Research Database to identify patients with CKD Stage ≥ 3a in 2017. Eligible patients were enrolled in a Medicare Advantage Prescription Drug plan for ≥ 12 months before and after the index date (first observed evidence of CKD). Patients with end-stage renal disease, kidney transplant, or hospice election preindex were excluded. Recommended comorbid disease management included hemoglobin A1c monitoring; adherence to glucose-lowering, cardiovascular, and angiotensin-converting enzyme inhibitors/angiotensin receptor blocker medications; and nephrologist/primary care provider (PCP) visits. HCRU was evaluated for 12 months postindex. RESULTS: The final cohort of 241,628 patients was 55% female and 77% White, with an average age of 75 years. Approximately 90% of patients had Stage 3 CKD. Half had both diabetes and hypertension, and most of the remaining half had hypertension without diabetes. Patients meeting the criteria for good disease management, compared with patients not meeting those criteria, were less likely to experience an inpatient hospitalization, by as much as 40% depending on the criterion and the comorbidities present, or an emergency department visit, by as much as 30%. Total monthly healthcare costs were as much as 17% lower. CONCLUSIONS: Management of comorbid diabetes and hypertension in patients with CKD was associated with lower HCRU and costs. Care coordination programs targeting patients with CKD must give careful attention to glucose and blood pressure control. TRIAL REGISTRATION: Not applicable.

Applications of Clinical Decision Support Systems in Diabetes Care: Scoping Review.

BACKGROUND: Providing comprehensive and individualized diabetes care remains a significant challenge in the face of the increasing complexity of diabetes management and a lack of specialized endocrinologists to support diabetes care. Clinical decision support systems (CDSSs) are progressively being used to improve diabetes care, while many health care providers lack awareness and knowledge about CDSSs in diabetes care. A comprehensive analysis of the applications of CDSSs in diabetes care is still lacking. OBJECTIVE: This review aimed to summarize the research landscape, clinical applications, and impact on both patients and physicians of CDSSs in diabetes care. METHODS: We conducted a scoping review following the Arksey and O'Malley framework. A search was conducted in 7 electronic databases to identify the clinical applications of CDSSs in diabetes care up to June 30, 2022. Additional searches were conducted for conference abstracts from the period of 2021-2022. Two researchers independently performed the screening and data charting processes. RESULTS: Of 11,569 retrieved studies, 85 (0.7%) were included for analysis. Research interest is growing in this field, with 45 (53%) of the 85 studies published in the past 5 years. Among the 58 (68%) out of 85 studies disclosing the underlying decision-making mechanism, most CDSSs (44/58, 76%) were knowledge based, while the number of non-knowledge-based systems has been increasing in recent years. Among the 81 (95%) out of 85 studies disclosing application scenarios, the majority of CDSSs were used for treatment recommendation (63/81, 78%). Among the 39 (46%) out of 85 studies disclosing physician user types, primary care physicians (20/39, 51%) were the most common, followed by endocrinologists (15/39, 39%) and nonendocrinology specialists (8/39, 21%). CDSSs significantly improved patients' blood glucose, blood pressure, and lipid profiles in 71% (45/63), 67% (12/18), and 38% (8/21) of the studies, respectively, with no increase in the risk of hypoglycemia. CONCLUSIONS: CDSSs are both effective and safe in improving diabetes care, implying that they could be a potentially reliable assistant in diabetes care, especially for physicians with limited experience and patients with limited access to medical resources. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.37766/inplasy2022.9.0061.

Combining diabetes and mental health care: An ethnographic exploration of user involvement in combined care.

PURPOSE: To explore and describe the enactment of user involvement and combined care in a Danish clinic that aimed at providing integrated diabetes and mental health care. DESIGN: An ethnographic study. DATA SOURCES AND METHODS: Data consisted of field notes from 96 hours of participant observations and field notes from 32 informal conversations with healthcare providers, users and relatives as well as 12 semistructured interviews with users. Data were analysed using a thematic analysis. This study reports to the SRQR guidelines. RESULTS: Treatment was not combined as intended if only one healthcare provider handled the consultations. Here, the healthcare providers' focus was often on their own area of expertise-either mental health or diabetes. If more than one healthcare provider handled consultations, the consultations were often divided between them, focussing on one condition at the time. Healthcare providers noted, that learning from peer colleagues was a way to increase the possibility for combined care. Furthermore, combined care was highly dependent on the healthcare providers' ability to involve users' illness experiences in their own care planning. Here, a high level of user involvement increased the levels of combined care during consultations. CONCLUSION: This study set out to explore and describe user involvement and combined care in a specialised diabetes and mental health outpatient clinic. Combined care is complexed and requires that healthcare providers are well-equipped to manage the complexity of delivering care for people with both conditions. The degree of combined care was linked with the healthcare providers' ability to involve users and their knowledge on the condition outside there are of expertise. RELEVANCE TO CLINICAL PRACTICE: A peer-learning environment in combination with clinical guidelines and joint display could support healthcare providers in involving users in own care and when delivering care outside their area of expertise. PUBLIC CONTRIBUTION: No patient or public contribution. Due to the COVID-19 pandemic, the original user council withdraw their consent to participate due to health-related worries and anxiety concerning the pandemic. The user council consisted of three members diagnosed with diabetes and severe mental illness. They were invited to participate in physical meetings, phone or online meetings. Presenting findings from the study to the study participants were also hindered by the second lockdown. This influenced the possibility for data triangulation.

Flexible patient-reported outcome-based telehealth follow-up for type 1 diabetes: A qualitative study.

BACKGROUND: Successful diabetes management requires collaboration between patients and healthcare professionals and should be aligned with an individual's condition and resources. We developed a flexible, individualised, patient-reported outcome (PRO)-based telehealth intervention called "DiabetesFlex Care" in which patients completed an annual self-reported questionnaire from home, one required face-to-face appointment, and two optional outpatient consultations. In this study, we investigated patients' experiences using DiabetesFlex Care. METHODS: We conducted a qualitative, interpretive descriptive (ID) study based on semi-structured interviews with a purposeful sample of 36 patients with type 1 diabetes (T1D) who had used DiabetesFlex Care. Recorded audio data were transcribed and analysed inductively using the constant comparative method. RESULTS: DiabetesFlex Care changed participants' perspectives on living with diabetes. Patients became more involved in their own care and found that DiabetesFlex Care helped to make their conversations with healthcare professionals more relevant. Furthermore, participants appreciated the ability to both choose the format of their appointments (face-to-face vs. phone call) and cancel unnecessary appointments. CONCLUSION: DiabetesFlex Care was a flexible and inclusive health service that enabled patients to take more responsibility for their own diabetes management. The questionnaire-based approach in DiabetesFlex Care can help healthcare professionals systematically account for patients' perspectives and support user involvement and self-management. By extension, this approach can also help minimise healthcare-related disruptions in patients' lives. Further studies are needed to determine whether flexible PRO-based telehealth is an acceptable solution for all patients.