[Comparison of Inpatient Equivalent Home Treatment (IEHT) with Standard Inpatient Treatment: A Matched Cohort Study]

Related Experiment Video

Updated: Oct 16, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

Stefan Weinmann¹, Jennifer Spiegel², Johanna Baumgardt^2,3

¹Psychiatrie, Universitätsspital Basel, Schweiz.

Psychiatrische Praxis

|October 21, 2021

Abstract

Objective:

Effectiveness of Inpatient Equivalent Home Treatment (IEHT) was examined in comparison to standard psychiatric inpatient treatment. IEHT is similar to the internationally known Home Treatment or Crisis Resolution Teams. It provides acute psychiatric treatment at the user's home, similar to inpatient hospital treatment in terms of content, flexibility, and complexity.

Methods:

This retrospective matched control study used routine data of 86 patients (IEHT, n = 43, standard inpatient treatment n = 43). Readmission rates and cumulative hospital days were compared within a 12-month-follow-up time period.

Results:

The readmission rate was lower and cumulative treatment days were longer after IETH. However, both group differences were not statistically significant.

Conclusion:

The present study indicates that IEHT is not inferior to standard inpatient treatment in terms of the risk of readmission.

More Related Videos

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

Published on: August 1, 2019

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Related Concept Videos

Documentation in Long-Term and Home Healthcare Setting

Documentation in Long-Term and Home Healthcare Setting

Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities

Comparing the Survival Analysis of Two or More Groups

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...

Crossover Experiments

Crossover Experiments

Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.

Restorative Care

Restorative Care

Restorative care is provided once a patient has been discharged from a healthcare facility and requires additional services. The additional services include home care, rehabilitation programs, and extended care. Restorative care centers help the patient regain their previous level of functioning or acquire a new level of functioning due to the incapacitating effects of a disease or a disability. It aims to assist patients in enhancing their quality of life by encouraging independence,...

Hazard Ratio

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...

Hospitals-II

Hospitals-II

Hospitals provide inpatient and outpatient services. Inpatient services provide care to patients that stay in the hospital for an extended period, ranging from days to months. Examples of inpatient services include intensive care units, hospital wards, or surgeries. Outpatient services provide care to patients who come to a hospital for a diagnostic or treatment but do not stay overnight —for example, diagnostic tests, surgical procedures, or health education.
Nurses that work in...

Articles linked to this work by shared authors, journal, and citation graph.

Acceptance and commitment therapy for schizophrenia and psychosis inpatients with recovery and experience orientation (ASPIRE): A qualitative study of participant experiences.

Psychology and psychotherapy·2026

[Modular acute psychotherapy-Background, concept and implications for psychiatric and psychotherapeutic training : A consensus paper of the German Society for Psychiatry and Psychotherapy, Psychosomatics and Neurology (DGPPN)].

Der Nervenarzt·2026

Factors associated with successful psychiatric intensive home treatment - a quasi-experimental study.

Frontiers in psychiatry·2026

[Guideline implementation in mental health care: focus on intervention description].

Psychiatrische Praxis·2026

Clinical and Sociodemographic Characteristics of Young People With Early Psychosis: Comparing Cannabis Users and Non-Users in a Specialized Early Intervention Setting.

Early intervention in psychiatry·2026

Functional Outcome Prediction in Young Adults With Mental Health Symptoms Using Machine Learning and Large Language Models: Longitudinal Observational Study.

JMIR mental health·2026

See all related articles