Prospective assessment of dementia on transitions in homeboundness using multistate Markov models

Applying a trauma-informed approach to home visits

The concept of trauma and traumatic stress and its impact on health and mental health has been studied for nearly half a century. Trauma-informed care (TIC) is person-centered care designed and delivered based on knowledge of the ubiquity of trauma. It requires building an understanding of the role that trauma plays in the lives and health outcomes of survivors. In doing so, it helps promote physical, psychological, and emotional safety for both clinicians and patients. Trauma and traumatic events are cumulative over the lifespan, and individuals who have experienced trauma are at higher risk for re-traumatization and poorer health outcomes. TIC approaches have been applied in many healthcare settings successfully; however, to date, there have not been any recommendations made about applying these approaches to care of homebound older adults, even though it may be surmised that this population is at an especially high risk for prior trauma and entering a person's safe space could be especially sensitive for trauma survivors. This paper serves to provide specific recommendations for applying a trauma-informed approach to a home visit and provides recommendations to home-based primary care groups and health systems about implementing universal trauma-informed care to homebound older adults.

The heterogeneity of the homebound: A latent class analysis of a national sample of homebound older adults

BACKGROUND

Homebound status is a final common pathway for people with a variety of diseases and conditions. There are 7 million homebound older adults in the United States. Despite concerns regarding their high healthcare costs and utilization and limited access to care, the unique subsets within the homebound population are understudied. Better understanding of distinct homebound groups may enable more targeted and tailored approaches to care delivery. Therefore, in a nationally representative sample of homebound older adults we used latent class analysis (LCA) to examine distinct homebound subgroups based on clinical and sociodemographic characteristics.

MATERIALS AND METHODS

Using data from the National Health and Aging Trends Study (NHATS) 2011-2019, we identified 901 newly homebound persons (defined as never/rarely leaving home or leaving home only with assistance and/or difficulty). Sociodemographic, caregiving context, health and function, and geographic covariates were derived from NHATS via self-report. LCA was used to identify the existence of distinct subgroups within the homebound population. Indices of model fit were compared for models testing 1-5 latent classes. Association between latent class membership and 1 year mortality was examined using a logistic regression.

RESULTS

We identified four classes of homebound individuals differentiated by their health, function, sociodemographic characteristics, and caregiving context: (i) Resource constrained (n = 264); (ii) Multimorbid/high symptom burden (n = 216); (iii) Dementia/functionally impaired (n = 307); (iv) Older/assisted living (n = 114). One year mortality was highest among the older/assisted living subgroup (32.4%) and lowest among the resource constrained (8.2%).

CONCLUSIONS

This study identifies subgroups of homebound older adults characterized by distinct sociodemographic and clinical characteristics. These findings will support policymakers, payers, and providers in targeting and tailoring care to the needs of this growing population.

Study on Dynamic Progression and Risk Assessment of Metabolic Syndrome Based on Multi-State Markov Model

AIM

Metabolic syndrome (MetS) coexists with the occurrence and even death of cardiovascular disease and diabetes mellitus. It is essential to study the factors in the dynamic progression of MetS in the interest of prevention and control.

PURPOSE

The aim of this study was to analyze the dynamic progression of Mets and explore the potential factors influencing the progression or reversal of MetS.

PATIENTS AND METHODS

This study involved 5581 individuals from two waves of the China Health and Retirement Longitudinal Study: 2011 and 2015. A multistate Markov model containing 4 states (free of metabolic disorder (FMD), mild metabolic disorder (MMD), severe metabolic disorder (SMD) and MetS) was adopted to study the dynamic progression of MetS and its influencing factors.

RESULTS

After follow-up, a total of 2862 cases (50.28% of the total number) had disease state transition. The intensity of transition from MetS to SMD is the same as that from SMD to MMD, and is greater than that from MMD to Mets (0.06 vs 0.05). For the MetS state, a mean of 1/0.08=12.5 years was spent in the MetS state before recovery. The exercise, smoke, drink, BMI level, hyperuricemia had statistically significant effects on progression of MetS status (P<0.05). The obesity or overweight, little exercise, smoke, drink and hyperuricemia increased the risk of forward progression of MetS disease status. There were significant nonmodifiable (age, gender) and modifiable factors (exercise, drink, BMI level, or high HbA1c) associated with reversion of MetS state.

CONCLUSION

The likelihood of progression from MMD to MetS is less likely than that of reversion from MetS to SMD and SMD to MMD. Old females were more resistant to recover from worse states than males. Prevention and intervention measures should be adopted early when MMD or SMD onset occurs.