OBJECTIVE: Much of the cost data from India is restricted to patients recruited purely from healthcare institutions and do not explore determinants. Therefore, the out of pocket expenditure for ambulatory diabetes care was evaluated in Delhi.
METHODS: The DEDICOM-II survey used a two-stage probability-proportionate-to-size(systematic) cluster design. Thirty clusters were chosen to recruit 25 to 30 subjects per area. We used questionnaires to estimate the direct out-of-pocket expenditure (OOPE) on drugs, investigations, consultation and travel, excluding hospitalization, and then analysed its determinants and impact on quality of care.
RESULTS: We enrolled 843 subjects with a mean age of 53.1 years. The annual direct OOPE on ambulatory care of diabetes was US$ 116.3 (95 % CI 93.8-138.9) or INR 8074.8 (95 % CI 6512.9-9636.7), corresponding to 3.6 %(95 % CI 2.9-4.3) of the yearly family income. The burden of expenses was disproportionately higher for those visiting private providers from lower-income groups(19.1 %). Duration of disease and treatment with insulin predicted higher annual OOPE while care at public facilities was less expensive. Cost was higher for those adhering to the recommended processes of care. Quality of care was better for institutional care and worse for alternative medicine or self-care.
CONCLUSIONS: The study provides representative estimates of the high cost of diabetes management in Delhi across the socio-economic and care provider spectra. Poorer patients suffer a high financial burden from diabetes, highlighting the need for enhancing equity in diabetes care.

Background: Despite the innovative advancements in diabetes care, providers may not recognize patients with type 2 diabetes mellitus (T2DM) who qualify for a continuous glucose monitoring (CGM) device or the benefits of a telemedicine program for improving self-management behaviors. Objective: This quality improvement (QI) project aimed to determine if an advanced practice registered nurse (APRN)-led telemedicine program using CGM could improve glycemic control and self-management in patients with insulin-dependent T2DM. Methods: A 6-week telemedicine program was developed and implemented using the CGM\'s time-in-range to deliver patient-specific education. Clinical metrics were collected at each visit. All patients completed a pre- and postintervention Diabetes Self-Management Questionnaire-Revised (DSMQ-R) survey. Results: A repeated measures analysis of variance revealed that the telemedicine program had a statistically significant impact on time-in-range outcomes, F(2, 14) = 18.203, p < .001. Paired-samples t tests indicate that APRN-led education improved body mass index, t(8) = 4.232, p = .002; decreased systolic blood pressure, t(8) = 2.90, p = .010, and diastolic blood pressure, t(8) = 3.21, p = .007; and increased self-management skills as evidenced by DSMQ-R, t(8) = -5.498, p < .001. Conclusions: This QI project highlights multiple interventions for improving diabetes management in a primary care facility. Implications for Nursing: An APRN-led telemedicine program integrating CGM time-in-range data can improve glycemic control and self-management skills in patients with T2DM who administer insulin.

BACKGROUND: Noncommunicable diseases (NCDs) are associated with high and rising burden of morbidity and mortality in sub-Saharan Africa, including Nigeria. Diabetes mellitus (DM) is among the leading causes of NCD-related deaths worldwide and is a foremost public health problem in Nigeria. As part of National policy, Nigeria has committed to implement the World Health Organization (WHO) Package of Essential Non-communicable Disease interventions for primary care. Implementing the intervention requires the availability of essential elements, including guidelines, trained staff, health management information systems (HMIS), equipment, and medications, in primary healthcare centers (PHCs). This study assessed the availability of the DM component of the WHO package, and the readiness of the health workers in these PHCs to implement a DM screening, evaluation, and management program to inform future adoption and implementation.
METHODS: This cross-sectional formative assessment adapted the WHO Service Availability and Readiness Assessment (SARA) tool to survey 30 PHCs selected by multistage sampling for readiness to deliver DM diagnosis and care in Abuja, Nigeria, between August and October 2021. The SARA tool was adapted to focus on DM services and the availability and readiness indicator scores were calculated based on the proportion of PHCs with available DM care services, minimum staff requirement, diagnostic tests, equipment, medications, and national guidelines/protocols for DM care within the defined SARA domain.
RESULTS: All 30 PHCs reported the availability of at least two full-time staff (median [interquartile range] = 5 [4-9]), which were mostly community health extension workers (median [interquartile range]) = 3 [1-4]. At least one staff member was recently trained in DM care in 11 PHCs (36%). The study also reported high availability of paper-based HMIS (100%), and DM screening services using a glucometer (87%), but low availability of DM job aids (27%), treatment (23%), and national guidelines/protocols (0%).
CONCLUSIONS: This formative assessment of PHCs\' readiness to implement a DM screening, evaluation, and management program in Abuja demonstrated readiness to integrate DM care into PHCs regarding equipment, paper-based HMIS, and nonphysician health workers\' availability. However, strategies are needed to promote DM health workforce training, provide DM management guidelines, and supply essential DM medications.

BACKGROUND: Current guidelines recommend shifting physician-led care (PLC) for type 2 diabetes mellitus (T2DM) to more effective multidisciplinary health care (MHC). However, few researchers have studied its real-life implementation in Saudi Arabia. Therefore, we aimed to assess the implementation and compare the outcomes of an MDC diabetes management program (DMP) among T2DM patients to a PLC at a general hospital after one year of follow-up in a real-world practice setting.
METHODS: We conducted this comparative patient files review study by analyzing medical records of all T2DM patients at two private care centers. Both were compared for their effectiveness in achieving two outcomes: the glycated hemoglobin (HbA1c) <7% and low-density lipoprotein-cholesterol (LDL-c) <70 mg/dl at the end of the first year. Additionally, we assessed the implementation of the DMP.
RESULTS: Eight hundred thirty-four medical records were reviewed, 537 from DMP, and 279 from the PLC center. The personal health coordination was almost complete (97.8%) in the DMP, but the implementation was incomplete regarding nutrition (65.7%), dental exam (64.8%), and foot care (58.3%). Both care groups were matched for age (p = 0.056), gender (p = 0.085), duration of diabetes (p = 0.217), and basal glycemic control (p = 0.171). The DMP showed a significant net decrease in HbA1c (-0.5 [IQR 1.47%] vs -0.2 [IQR 3.05%], p = 0.0001) and LDL-c (-10 [IQR 50] vs -5 [IQR 60.5] mg/dl, p = 0.004) compared to PLC. A higher percentage of patients achieved glycemic control in the DMP than in the PLC (49.4% vs 38.7%, p = 0.038). However, both programs demonstrated similar outcomes in lipid control (28.7% vs. 30%, p = 0.695).
CONCLUSIONS: Despite some gaps in implementation, one year of DMP showed better glycemic control among T2DM patients compared to PLC. Both programs were comparable in terms of lipid control. Further studies identifying the gaps in care implementation could improve sustainability, future replication, and generalizability of similar programs to other healthcare systems in Saudi Arabia.

OBJECTIVE: 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.

OBJECTIVE: To compare processes of diabetes care by homeless status.
METHODS: A population-based propensity matched cohort study was conducted in Ontario, Canada. People with diabetes were identified in administrative healthcare data between April 2006 and March 2019. Those with a documented history of homelessness were matched to non-homeless controls. Data on processes of care measures included glucose monitoring tests, screening for microvascular complications, and physician follow-up. Differences in processes of care were compared by homeless status using proportions, risk ratios, and rate ratios.
RESULTS: Of the 1,076,437 people with diabetes, 5219 matched pairs were identified. Homelessness was associated with fewer tests for glycated hemoglobin (RR = 0.63; 95 %CI: 0.60-0.67), LDL cholesterol (RR = 0.80; 95 %CI: 0.78-0.82), serum creatinine (RR = 0.94; 95 %CI: 0.92-0.97), urine protein quantification (RR = 0.62; 95 %CI: 0.59-0.66), and eye examinations (RR = 0.74; 95 %CI: 0.71-0.77). People with a history of homelessness were less likely to use primary care for diabetes management (RR = 0.62; 95 %CI: 0.59-0.66) or specialist care (RR = 0.87; 95 %CI: 0.83-0.91) compared to non-homeless controls.
CONCLUSIONS: Disparities in diabetes care are evident for people with a history of homelessness and contribute to excess morbidity in this population. These data provide an impetus for investment in tailored interventions to improve healthcare equity and prevent long-term complications.

Diabetes-related distress (DRD) refers to the psychological distress specific to living with diabetes. DRD can lead to negative clinical consequences such as poor self-management. By knowing the local prevalence and severity of DRD, primary care teams can improve the DRD evaluation in our daily practice. This was a cross-sectional study conducted in 3 General Out-patient Clinics (GOPCs) from 1 December 2021 to 31 May 2022. A random sample of adult Chinese subjects with T2DM, who regularly followed up in the selected clinic in the past 12 months, were included. DRD was measured by the validated 15-item Chinese version of the Diabetes Distress Scale (CDDS-15). An overall mean score ≥ 2.0 was considered clinically significant. The association of DRD with selected clinical and personal factors was investigated. The study recruited 362 subjects (mean age 64.2 years old, S.D. 9.5) with a variable duration of living with T2DM (median duration 7.0 years, IQR 10.0). The response rate was 90.6%. The median HbA1c was 6.9% (IQR 0.9). More than half (59.4%) of the subjects reported a clinically significant DRD. Younger subjects were more likely to have DRD (odds ratio of 0.965, 95% CI 0.937-0.994, p = 0.017). Patients with T2DM in GOPCs commonly experience clinically significant DRD, particularly in the younger age group. The primary care clinicians could consider integrating the evaluation of DRD as a part of comprehensive diabetes care.

UNASSIGNED: Noncommunicable diseases (NCDs) are associated with a high and rising burden of morbidity and mortality in sub-Saharan Africa, including Nigeria. Diabetes mellitus (DM) is among the leading causes of NCD-related deaths worldwide and is a foremost public health problem in Nigeria. As part of the National Multi-Sectoral Action Plan for the Prevention and Control of NCDs, Nigeria has committed to implementing the World Health Organization (WHO) Package of Essential NCD control interventions. Implementing the intervention requires the availability of essential elements, including guidelines, trained staff, health management information systems, equipment, and medications, in primary healthcare centers (PHCs). This study assessed the availability of the WHO package components and the readiness of PHCs to implement a DM screening, evaluation, and management program.
UNASSIGNED: This cross-sectional formative assessment adapted the WHO Service Availability and Readiness Assessment (SARA) tool to survey 30 PHCs selected by multistage sampling for readiness to deliver DM diagnosis and care in Abuja, Nigeria, between August 2021 and October 2021. The service availability and readiness indicator scores were calculated based on the proportion of PHCs with available DM care services, minimum staff requirement, diagnostic tests, equipment, medications, and national guidelines/protocols for DM care within the defined SARA domain.
UNASSIGNED: All 30 PHCs reported the availability of at least two full-time staff (median [interquartile range] staff = 5 [4-9]), which were mostly community health extension workers (median [interquartile range]) = 3 [1-4]. At least one staff member was recently trained in DM care in only 11 (36%) of the PHCs. The study also reported high availability (100%) of paper-based health management information systems (HMIS) and DM screening services using a glucometer (87%), but low availability of DM treatment (23%), printed job aids (27%), and national guidelines/protocols (0%).
UNASSIGNED: This systematic assessment of PHCs\' readiness to implement a DM screening, evaluation, and management program in Abuja demonstrated readiness to integrate DM care into PHCs in terms of equipment, paper-based HMIS, and nonphysician health workers\' availability. However, strategies are needed to promote DM health workforce training, provide DM management guidelines, and ensure a reliable supply of essential DM medications.

OBJECTIVE: 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.

OBJECTIVE: 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.
METHODS: 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.
CONCLUSIONS: 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.
CONCLUSIONS: 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.