| Literature DB >> 33061732 |
Addo Boafo1,2,3, Stephanie Greenham1,2,4, Paula Cloutier1,2, Shanika Abraham1, Michele Dumel1, Valerie Gendron1, Derek Rowsell1.
Abstract
PURPOSE: This article describes steps taken by a mental health inpatient multidisciplinary team to develop a clinical pathway for the assessment and management of suicidality in a pediatric psychiatric inpatient unit. PATIENTS AND METHODS: The setting for this project is a 19-bed inpatient psychiatry unit providing care for children and adolescents (6-17 years of age) in a tertiary care pediatric hospital in Ontario, Canada. Three Lean methodologies were used: 1) The A3 process was used to articulate a problem statement and help clarify expectations, determine goals, and uncover, address and encourage discussion of potential issues; 2) Process mapping was used to show how work process activities are sequenced from the time of the patient's admission to discharge; and 3) Standard work, where consideration was given to the breakdown of the work into categories which are sequenced, organized and repeatedly followed. Generally accepted methodologies for developing clinical pathways were used to create a framework and algorithm for the assessment and management of suicidality in psychiatrically hospitalized children and adolescents.Entities:
Keywords: adolescents; hospitalized; psychiatry; suicide
Year: 2020 PMID: 33061732 PMCID: PMC7522520 DOI: 10.2147/AHMT.S240060
Source DB: PubMed Journal: Adolesc Health Med Ther ISSN: 1179-318X
Clinical Pathway Development Steps
1. Identification of problems |
2. A3-root cause analysis and problem statement |
3. Examination of acute-care model and profile of admissions |
4. Decision point: selection of a clinical pathway – framework for clinical pathway for suicidality |
5. Selection/formation of a multidisciplinary working group |
6. Process mapping |
7. Literature search |
8. Environmental scan |
9. Engagement of family and patient groups |
10.Draft of algorithm a framework for suicidality clinical pathway |
Figure 1Clinical Pathway Algorithm.
Figure 2Supervision levels.