Recovery Notion of Individuals With Schizophrenia and Their Families in Eastern Turkey: A Qualitative Study

Individuals with schizophrenia are able to define their own recovery and self-determined recovery goals, which will enable them to evaluate treatment outcomes. [<i>Journal of Psychosocial Nursing and Mental Health Services, 63</i>(4), 34-42.].

Authors

Institutions

Publication Details

Journal
Journal of Psychosocial Nursing and Mental Health Services
Published
2024-12-10
DOI
https://doi.org/10.3928/02793695-20241205-01
Primary Topic
Mental Health and Patient Involvement
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recovery Notion of Individuals With Schizophrenia and Their Families in Eastern Turkey: A Qualitative Study

Mehmet Cihad Aktaş, Sakine Aktaş, Cemile Hürrem Ayhan, Nurdane Gokturk
Journal of Psychosocial Nursing and Mental Health Services
Mental Health and Patient Involvement
article

Recovery Notion of Individuals With Schizophrenia and Their Families in Eastern Turkey: A Qualitative Study

Mehmet Cihad Aktaş, Sakine Aktaş, Cemile Hürrem Ayhan, Nurdane Gokturk
article en

Abstract

Individuals with schizophrenia are able to define their own recovery and self-determined recovery goals, which will enable them to evaluate treatment outcomes. [<i>Journal of Psychosocial Nursing and Mental Health Services, 63</i>(4), 34-42.].

Journal of Psychosocial Nursing and Mental Health ServicesVol. 63(4)
Van Yüzüncü Yıl Üniversitesi (TR)
Openalex Percentile: Top 60%
Mental Health and Patient Involvement
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.