Psychosocial Features of Clinically Relevant Patient Subgroups With Serious Mental Illness and Comorbid Diabetes

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.

Association of Depression and Anxiety with Social Network Types: Results from a Community Cohort Study

Social networks protect individuals from mental health conditions of depression and anxiety. The association between each social network type and its mental health implications in the Indian population remains unclear. The study aims to determine the association of depression and anxiety with different social network types in the participants of a community cohort. We conducted a cross-sectional household survey among people aged ≥30 years in geographically defined catchment areas of Kerala, India. We used cross-culturally validated assessment tools to measure depression, anxiety and social networks. An educated male belonging to higher income quartiles, without any disability, within a family dependent network has lower odds of depression and anxiety. Furthermore, 28, 26.8, 25.7, 9.8 and 9.7% of participants belonged to private restricted, locally integrated, wider community-focused, family-dependent and locally self-contained networks, respectively. Close ties with family, neighbours, and community had significantly lower odds of anxiety and depression than private restricted networks. The clustering of people to each social network type and its associated mental health conditions can inform social network-based public health interventions to optimize positive health outcomes in the community cohort.

Population segmentation of type 2 diabetes mellitus patients and its clinical applications - a scoping review

Background

Population segmentation permits the division of a heterogeneous population into relatively homogenous subgroups. This scoping review aims to summarize the clinical applications of data driven and expert driven population segmentation among Type 2 diabetes mellitus (T2DM) patients.

Methods

The literature search was conducted in Medline®, Embase®, Scopus® and PsycInfo®. Articles which utilized expert-based or data-driven population segmentation methodologies for evaluation of outcomes among T2DM patients were included. Population segmentation variables were grouped into five domains (socio-demographic, diabetes related, non-diabetes medical related, psychiatric / psychological and health system related variables). A framework for PopulAtion Segmentation Study design for T2DM patients (PASS-T2DM) was proposed.

Results

Of 155,124 articles screened, 148 articles were included. Expert driven population segmentation approach was most commonly used, of which judgemental splitting was the main strategy employed (n = 111, 75.0%). Cluster based analyses (n = 37, 25.0%) was the main data driven population segmentation strategies utilized. Socio-demographic (n = 66, 44.6%), diabetes related (n = 54, 36.5%) and non-diabetes medical related (n = 18, 12.2%) were the most used domains. Specifically, patients’ race, age, Hba1c related parameters and depression / anxiety related variables were most frequently used. Health grouping/profiling (n = 71, 48%), assessment of diabetes related complications (n = 57, 38.5%) and non-diabetes metabolic derangements (n = 42, 28.4%) were the most frequent population segmentation objectives of the studies.

Conclusions

Population segmentation has a wide range of clinical applications for evaluating clinical outcomes among T2DM patients. More studies are required to identify the optimal set of population segmentation framework for T2DM patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12874-021-01209-w.

Antipsychotic Medication Adherence and Diabetes-Related Hospitalizations Among Medicaid Recipients With Diabetes and Schizophrenia

OBJECTIVE

This cross-sectional study examined the relationship between antipsychotic medication adherence and preventable diabetes-related hospitalizations for individuals with diabetes and schizophrenia.

METHODS

Hospitalizations related to diabetes, an ambulatory care sensitive condition, were assessed among Medicaid recipients in New York State with comorbid diabetes and schizophrenia (N=14,365) for three levels of antipsychotic medication adherence: very low to no engagement (two or fewer prescriptions or none in first 6 months), moderate to low adherence, and adherent (proportion of days covered ≥80%).

RESULTS

Rates of preventable diabetes hospitalization were highest among individuals with very low to no engagement in antipsychotic treatment (4.7%), followed by those with moderate to low adherence (3.3%). Diabetes hospitalizations among adherent individuals were comparable with those of the total diabetes population (both 2.0%). The odds of a preventable diabetes hospitalization were significantly higher among individuals with very low to no engagement in antipsychotic treatment (adjusted odds ratio [AOR]=2.42) and among those with moderate to low adherence (AOR=1.57) than among adherent individuals. Black individuals were also at increased risk of a preventable diabetes hospitalization after the analyses adjusted for antipsychotic adherence and other variables (AOR=1.38).

CONCLUSIONS

This study indicates a relationship between antipsychotic adherence and improved diabetes outcomes among individuals with schizophrenia. Engagement in mental health treatment may be a critical path toward improving health disparities for individuals with schizophrenia. Individuals with very low to no engagement were a particularly vulnerable group, and the exclusion of persons with less than two prescriptions from research and quality measures should be revisited.

Risk and protective factors of co-morbid depression in patients with type 2 diabetes mellitus: a meta analysis

The aim from this paper is to identify the main influencing factors of co-morbid depression among T2DM (Type 2 Diabetes Mellitus) patients and to provide reliable evidence for relative researches. A systematic review and meta-analysis of risk factors for co-morbid depression in T2DM was performed on all retrieved studies through an observational research of network database. Data were analyzed by Review Manager 5.3 from the extracted results, the heterogeneity index of the studies was determined using Chi-squared I² tests and on the basis of heterogeneity, a fixed or random effect model was used to estimates the pooled effect of each influencing factor. Fourteen observational studies containing total of 82,239,298 cases that have been identified. Diabetic complications (OR = 2.91; 95%CI, 1.76-4.82, p < 0.0001), insulin use (OR = 1.71; 95%CI, 1.18-2.48, p = 0.005), education status (OR = 1.91; 95%CI, 1.30-2.81, p = 0.001) were confirmed as risk factors, while regular exercising (OR = 0.51; 95%CI, 0.27-0.96, p = 0.04), gender (OR = 0.56; 95%CI, 0.47-0.65, p < 0.0001), marital status (OR = 0.53; 95%CI, 0.34-0.83, p = 0.005), current social status (OR = 0.64; 95%CI, 0.47-0.88, p = 0.006) were confirmed as protective factors of co-morbid depression in the patients with T2DM. Subgroup analysis claimed age (≥60 years) was a risk factor and smoking was protective factor for co-morbid depression in the patients with T2DM. Being female, have diabetic complications, insulin use, education level less than secondary are risk factors. However, doing regular exercise, being married and on work are protective factors of co-morbid depression in patients with T2DM. As to the other influencing factors should be further studied.

Peer support and skills training through an eating club for people with psychotic disorders: A feasibility study

OBJECTIVE

The HospitalitY (HY) intervention is a novel recovery oriented intervention for people with psychotic disorders in which peer support and home-based skill training are combined in an eating club. A feasibility study was conducted to inform a subsequent randomised trial.

METHODS

This study evaluated three eating clubs consisting of nine participants and three nurses. Semi-structured interviews and pre- and post-intervention measures (18 weeks) of personal recovery, quality of life and functioning were used to evaluate the intervention. Participants received individual skills training, guided by self-identified goals, while organising a dinner at their home. During each dinner, participants engaged in peer support, led by a nurse.

RESULTS

In personal interviews participants reported positive effects on social support, loneliness, and self-esteem. Nurses reported that participants became more independent during the intervention. Participants were satisfied with the HY-intervention (attendance rate = 93%). All were able to organise a dinner for their peers with practical support from a nurse. Pre- and post -intervention measures did not show important improvements.

LIMITATIONS

Outcome measures were not sensitive to change, likely due to a short intervention period (5 months) and a limited number of participants (N = 9). Using Goal Attainment Scaling to evaluate personal goals turned out to be unfeasible.

CONCLUSIONS

The HY-intervention is feasible for participants with psychotic disorders. This study refined intervention and research design for the upcoming multicentre randomised controlled trial. We expect that the Experience Sampling Method will be more sensitive to changes in recovery outcomes than regular pre-post intervention measures.

Associations among comorbid anxiety, psychiatric symptomatology, and diabetic control in a population with serious mental illness and diabetes: Findings from an interventional randomized controlled trial

Objective Serious mental illness and type II diabetes mellitus have a high comorbidity, and both have a higher prevalence of anxiety disorders compared to the general population. Targeted Training in Illness Management is a group-based self-management training approach which targets serious mental illness and type II diabetes mellitus concurrently. This analysis examines data from a randomized controlled trial of Targeted Training in Illness Management intervention to examine the impact of comorbid anxiety on baseline psychiatric symptomatology and diabetic control, and on longitudinal treatment outcomes. Methods We conducted secondary analyses on data from a prospective, 60-week, randomized controlled trial testing Targeted Training in Illness Management versus treatment as usual in 200 individuals with serious mental illness and diabetes. Primary outcomes included measures related to serious mental illness symptoms, functional status, general health status, and diabetes control. Measures were compared between those participants with anxiety disorders versus those without anxiety at baseline as well as over time using linear mixed effects analyses. Results Forty seven percent of the participants had one or more anxiety disorders. At baseline, those with an anxiety diagnosis had higher illness severity, depressive, and other psychiatric symptomatology and disability. Diabetic control (HbA1c) was not significantly different at baseline. In the longitudinal analyses, no significant mean slope differences over time (group-by-time interaction effect) between those with anxiety diagnoses and those without in treatment as usual group were found for primary outcomes. Within the Targeted Training in Illness Management arm, those with anxiety disorders had significantly greater improvement in mental health functioning. Those with anxiety comorbidity in the Targeted Training in Illness Management group demonstrated significantly lower HbA1c levels compared to no anxiety comorbidity and also demonstrated a greater improvement in HbA1c over the first 30 weeks compared to those without anxiety comorbidity. Conclusion Comorbid anxiety in serious mental illness and type II diabetes mellitus population is associated with increased psychiatric symptomatology and greater disability. Individuals from this population appear to experience greater improvement in functioning from baseline with the Targeted Training in Illness Management intervention. Anxiety comorbidity in the serious mental illness and type II diabetes mellitus population does not appear to have a negative impact on diabetic control. These complex relationships need further study. Clinical Trials Registration ClinicalTrials.gov: Improving outcomes for individuals with serious mental illness and diabetes (NCT01410357).