Abstract

In order to improve coping capacity and clinical decision-making. This project evaluated the use of the 15-item Coping Adaptation Processing Scale (CAPS-15) alongside RAM’s four adaptive modes (physiological, self-concept, role function, interdependence) to assess coping responses to stressors and support individualized care planning in a mental health counseling setting.

Author Details

Jacqueline Elos Wahito Kabukuru, DNP(c), MSN,FNP, PMHNP, RN, MPH/MBA -  Years of Practice as a nurse and nurse practitioner total 17 years. Areas of Expertise: Family Medicine, Urgent Care, Psychiatric Mental Health, Children, Adults and Geriatrics, Women's Health, Public Health, Management, International Health and Cultural Diversity

Sigma Membership

Gamma Eta

Type

DNP Capstone Project

Format Type

Text-based Document

Study Design/Type

Quality Improvement

Research Approach

Pilot/Exploratory Study

Keywords:

CAPS-15, Coping Adaptation Processing Scale, Psychological Adaptation, PHQ-9, Patient Health Questionnaire-9, GAD-7, General Anxiety Disorder Scale, RAM Model, Roy Adaptation Model, Anxiety, Depression, Mental Depression, Coping Strategies, Coping, Mental Health Facilities

Advisor

Ellen Buckner

Second Advisor

Tynea Swain

Degree

DNP

Degree Grantor

Samford University

Degree Year

2026

Rights Holder

All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record. All permission requests should be directed accordingly and not to the Sigma Repository. All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.

Review Type

None: Degree-based Submission

Acquisition

Self-submission

Date of Issue

2026-05-20

Full Text of Presentation

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Click above link to access the slide deck.

Additional Files

Abstract.pdf (193 kB)

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