Reducing Readmission of Hospitalized Patients With Depressive Symptoms: A Randomized Trial

Temporal trends and correlates in multiple hospitalizations among older adults: findings from a nationally representative sample in China

OBJECTIVE

This study aims to examine the trends and correlates in multiple hospitalizations among older adults in China.

METHODS

The data were from the China Health and Retirement Longitudinal Study (CHARLS), and generalized ordered logit model (GOLM) was used to identify the correlates of multiple hospitalizations among older adults aged≥60 years old.

RESULTS

Between 2011 and 2018, the proportion of older adults having multiple hospitalizations in the past year showed an increasing trend in the total sample (p value for trend = 0.014). Being older, male, illiterate, living in the middle/western region, having higher annual per capita household expenditure, health insurance, multimorbidity, and being depressed were associated with increased odds of multiple hospitalizations.

CONCLUSIONS

Our findings indicated that older adults with multiple hospitalizations may expect an increasing burden on healthcare system. More efforts are needed to improve health insurance and primary healthcare to reduce avoidable hospitalizations.

Leveraging Mobile Health to Manage Mental Health/Behavioral Health Disorders: Systematic Literature Review

BACKGROUND

Mental health is a complex condition, highly related to emotion. The COVID-19 pandemic caused a significant spike in depression (from isolation) and anxiety (event related). Mobile Health (mHealth) and telemedicine offer solutions to augment patient care, provide education, improve symptoms of depression, and assuage fears and anxiety.

OBJECTIVE

This review aims to assess the effectiveness of mHealth to provide mental health care by analyzing articles published in the last year in peer-reviewed, academic journals using strong methodology (randomized controlled trial).

METHODS

We queried 4 databases (PubMed, CINAHL [Cumulative Index to Nursing and Allied Health Literature], Web of Science, and ScienceDirect) using a standard Boolean search string. We conducted this systematic literature review in accordance with the Kruse protocol and reported it in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) 2020 checklist (n=33).

RESULTS

A total of 4 interventions (mostly mHealth) from 14 countries identified improvements in primary outcomes of depression and anxiety as well as in several secondary outcomes, namely, quality of life, mental well-being, cognitive flexibility, distress, sleep, self-efficacy, anger, decision conflict, decision regret, digestive disturbance, pain, and medication adherence.

CONCLUSIONS

mHealth interventions can provide education, treatment augmentation, and serve as the primary modality in mental health care. The mHealth modality should be carefully considered when evaluating modes of care.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42022343489; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=343489.