Research

Medical Sciences

Title :

Development and Implementation of Proactive Integrated Mental Health Care Model for Hospitalized Surgical Patients: Quasi-Experimental Trial from North-East India

Area of research :

Medical Sciences

Focus area :

Mental Health and Clinical Care

Principal Investigator :

Dr. kewithinwangbo newme, All India Institute Of Medical Sciences (Aiims), Guwahati, Assam

Timeline Start Year :

2024

Timeline End Year :

2027

Contact info :

Details

Executive Summary :

Rationale of the research: Mental Health disorders (MHDs) have a significant impact on surgical outcomes such as increased post-surgical pain, hospital length of stay, complications, readmissions, and mortality. Western countries have developed a proactive consultation-liaison (C-L) psychiatry model for the early detection and management of psychiatric issues among surgical inpatients. Despite the fact that proactive C-L service models are superior to traditional care models, no model has been developed and evaluated for its effectiveness, and feasibility in Indian healthcare settings. This study will be planned to develop and Implement the Proactive Integrated Mental Health Care (PIMHC) Model for Hospitalized Surgical Patients. Methods: The quasi-experimental study (A1-B-A2 design) study, will be carried out in AIIMS Guwahati for a period of 2 years. After brief training, surgical nurses will screen the patients admitted to surgical wards for psychiatric issues. The surgical inpatient with MHDs with an age of more than 18 years, either gender will be intervened using a PIMHC model (intervention period) or consultation as a usual model (CAU model). Outcomes (length of stay. consultation latency, consultation rate, MERIT, ASSIST, and GHQ-28 score) will be assessed 2-3 weeks after the admission in surgical wards (Primary end-point). The secondary endpoints will be changes in MERIT, ASSIST, and GHQ-28 scores at 6 and 8 weeks. Expected outcome: The PIMHC model could be effective, feasible, and promising for surgical inpatients with MHD in terms of early detection and prompt management. Furthermore, the model may help to reduce hospital stays by addressing the existing barriers within Indian settings. The effective model could be scaled-up in nonsurgical settings as well as secondary or tertiary care settings in the future.

Total Budget (INR):

23,25,906

Organizations involved