ISSN: 2161-0711

Medicina Comunitária e Educação em Saúde

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Abstrato

Clients and Patientsâ?? Spiritual Nursing Diagnosis of the Sound Heart Model

Minoo Asadzandi

Aim: Holistic nursing provide postural care by assessing clients and patients’ bio-psycho-socio-spiritual reactions, which could harm spiritual health due to interruption in communications with God, self, people and nature. The purpose of this study is designing and validating clients and patients’ spiritual nursing diagnosis of the Sound Heart Model.
Methods: This is a “developmental research” with Sound Heart Model approach, which was done on students at the faculty of nursing and hospitalized patients of Baqiyatallah in 2016. The inductive propositions were extracted by using conventional content analysis, through interviews with clients and patients, their families and clinical nurses. Two focus group were used, besides the individual interviews to approve the validity of data. The religious evidence, were investigated systematically and deductively. The spiritual diagnosis based on religious evidence were compared with propositions stated by the participants, the list of nursing diagnosis of NANDA, and spiritual health assessment questionnaire (25 cases). 76 spiritual diagnosis were classified into four communicational domains. Applicability was assessed through two focused group discussions with the comments of 20 experienced nurses.
Results: safety from divine wisdom, neglecting and forgetfulness of God in healthy clients, and the frustration of God's mercy with fear, suspicion, future anxiety, sadness of losing health in patients, were the most important spiritual nursing diagnoses. Disruption of communication with God causes disturbance in other person's communication.
Conclusion: The Sound Heart Nursing Care Model provide postural care at all levels of prevention. Failure to pay attention to the spiritual problems affects physical, mental, and social health.

Isenção de responsabilidade: Este resumo foi traduzido usando ferramentas de inteligência artificial e ainda não foi revisado ou verificado.