Effectiveness of spiritual care using spiritual pain assessment sheet for advanced cancer patients: A pilot non-randomized controlled trial

Ichihara, Kaori; Ouchi, Sayako; Okayama, Sachiko; Kinoshita, Fukiko; Morita, Tatsuya; Tamura, Keiko

doi:10.1017/s1478951518000901

Cited by 20 publications

(15 citation statements)

References 30 publications

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“…In addition, factors such as time insufficiency, treatment team members’ belief that relieving spiritual pain is not part of their duties, failure to identify the patient’s preferences, religion, and culture, lack of a trust-based relationship between the patient and treatment team, lack of relevant education about this pain, confusion about who is responsible for relieving this type of pain, and the uniqueness of this pain are among the most important items leading to this type of pain remaining undiagnosed (Elsdon, 1995 ; Ichihara et al, 2019 ).…”

Section: Resultsmentioning

confidence: 99%

“…The desire of the family, the psychological reactions of the patient and the family, and the life-threatening nature of the disease can be either facilitators or inhibitors of spiritual pain relief (Ichihara et al, 2019 ; Tamura et al, 2006 ).…”

Section: Resultsmentioning

confidence: 99%

“…Finally, Murata defines spiritual pain as the pain caused because of the destruction or extermination of one’s existence and meaning. Spiritual pain originates from the feeling of losing the basic components of one’s meaning of existence: the loss of relationships, the loss of independence, the loss of the future, and heading toward death (Ichihara et al, 2019 ; Murata, 2003 ).…”

Section: Introductionmentioning

confidence: 99%

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A Concept Analysis of Spiritual Pain at the End-of-Life in the Iranian-Islamic Context: A Qualitative Hybrid Model

et al. 2022

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This study aimed to explore the spiritual pain concept in the Iranian-Islamic context using a hybrid research model during 2020–2021. During the first phase, international and Iranian-Islamic literature was systematically searched and reviewed. During the second phase, the researchers referred to oncology wards, palliative care centers, and intensive care units and conducted unstructured interviews with 19 dying patients. In the third phase, attributes, and final analysis of spiritual pain was extracted from the first phase, and following the second phase, the definition of spiritual pain was finalized. The results showed that spiritual pain is a type of unique transcendental pain in the context of a continuum, rooted in human nature. At the one end of the continuum, there is the pain of deprivation from worldly pleasures (oneself, the family, and others). At the other end, there is the pain of breaking away from and striving to return to one’s origin (God). Exploring spiritual pain in the Iranian-Islamic context can help develop tools and clinical guidelines and plan for the presence of specialists at the bedside to relieve this pain.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Concept Analysis of Spiritual Pain at the End-of-Life in the Iranian-Islamic Context: A Qualitative Hybrid Model

et al. 2022

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“…We defined spiritual pain as pain caused by the extinction of being and the meaning of self, according to the Spiritual Pain Assessment Sheet which was developed to assess spiritual pain for nurses in Japan. 20 The domain of spiritual pain has three dimensions: relationships, temporality, and autonomy. 20 One author (KM) labeled records in terms of presence of each feature (1: present; 0: absent) according to the detection guidelines (Supplemental Appendices 1, 2, and 3), and the other authors independently reviewed 100 labeled records and calculated the Kappa score.…”

Section: Methodsmentioning

confidence: 99%

“…20 The domain of spiritual pain has three dimensions: relationships, temporality, and autonomy. 20 One author (KM) labeled records in terms of presence of each feature (1: present; 0: absent) according to the detection guidelines (Supplemental Appendices 1, 2, and 3), and the other authors independently reviewed 100 labeled records and calculated the Kappa score. The score for spiritual pain was 0.90 and that for social distress was 0.92.…”

Section: Methodsmentioning

confidence: 99%

Machine learning models to detect social distress, spiritual pain, and severe physical psychological symptoms in terminally ill patients with cancer from unstructured text data in electronic medical records

et al. 2022

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Background: Few studies have developed automatic systems for identifying social distress, spiritual pain, and severe physical and phycological symptoms from text data in electronic medical records. Aim: To develop models to detect social distress, spiritual pain, and severe physical and psychological symptoms in terminally ill patients with cancer from unstructured text data contained in electronic medical records. Design: A retrospective study of 1,554,736 narrative clinical records was analyzed 1 month before patients died. Supervised machine learning models were trained to detect comprehensive symptoms, and the performance of the models was tested using the area under the receiver operating characteristic curve (AUROC) and precision recall curve (AUPRC). Setting/participants: A total of 808 patients was included in the study using records obtained from a university hospital in Japan between January 1, 2018 and December 31, 2019. As training data, we used medical records labeled for detecting social distress ( n = 10,000) and spiritual pain ( n = 10,000), and records that could be combined with the Support Team Assessment Schedule (based on date) for detecting severe physical/psychological symptoms ( n = 5409). Results: Machine learning models for detecting social distress had AUROC and AUPRC values of 0.98 and 0.61, respectively; values for spiritual pain, were 0.90 and 0.58, respectively. The machine learning models accurately identified severe symptoms (pain, dyspnea, nausea, insomnia, and anxiety) with a high level of discrimination (AUROC > 0.8). Conclusion: The machine learning models could detect social distress, spiritual pain, and severe symptoms in terminally ill patients with cancer from text data contained in electronic medical records.

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Complementary, Traditional and Spiritual Practices Used by Cancer Patients in Turkey When Coping with Pain: An Exploratory Case Study

Karadağ

Yüksel

2021

J Relig Health

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Effectiveness of spiritual care using spiritual pain assessment sheet for advanced cancer patients: A pilot non-randomized controlled trial

Cited by 20 publications

References 30 publications

A Concept Analysis of Spiritual Pain at the End-of-Life in the Iranian-Islamic Context: A Qualitative Hybrid Model

A Concept Analysis of Spiritual Pain at the End-of-Life in the Iranian-Islamic Context: A Qualitative Hybrid Model

Machine learning models to detect social distress, spiritual pain, and severe physical psychological symptoms in terminally ill patients with cancer from unstructured text data in electronic medical records

Complementary, Traditional and Spiritual Practices Used by Cancer Patients in Turkey When Coping with Pain: An Exploratory Case Study

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