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Conflict when making decisions about dialysis modality
Author(s) -
Chen NienHsin,
Lin YuPing,
Liang ShuYuan,
Tung HengHsin,
Tsay ShiowLuan,
Wang TsaeJyy
Publication year - 2018
Publication title -
journal of clinical nursing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.94
H-Index - 102
eISSN - 1365-2702
pISSN - 0962-1067
DOI - 10.1111/jocn.13890
Subject(s) - peritoneal dialysis , dialysis , medicine , scale (ratio) , modality (human–computer interaction) , demographics , social support , intensive care medicine , psychology , social psychology , physics , demography , human–computer interaction , quantum mechanics , sociology , computer science
Aims and objectives To explore decisional conflict and its influencing factors on choosing dialysis modality in patients with end‐stage renal diseases. The influencing factors investigated include demographics, predialysis education, dialysis knowledge, decision self‐efficacy and social support. Background Making dialysis modality decisions can be challenging for patients with end‐stage renal diseases; there are pros and cons to both haemodialysis and peritoneal dialysis. Patients are often uncertain as to which one will be the best alternative for them. This decisional conflict increases the likelihood of making a decision that is not based on the patient's values or preferences and may result in undesirable postdecisional consequences. Addressing factors predisposing patients to decisional conflict helps to facilitate informed decision‐making and then to improve healthcare quality. Design A predictive correlational cross‐sectional study design was used. Methods Seventy patients were recruited from the outpatient dialysis clinics of two general hospitals in Taiwan. Data were collected with study questionnaires, including questions on demographics, dialysis modality and predialysis education, the Dialysis Knowledge Scale, the Decision Self‐Efficacy scale, the Social Support Scale, and the Decisional Conflict Scale. Results The mean score on the Decisional Conflict Scale was 29.26 ( SD  = 22.18). Decision self‐efficacy, dialysis modality, predialysis education, professional support and dialysis knowledge together explained 76.4% of the variance in decisional conflict. Conclusions Individuals who had lower decision self‐efficacy, did not receive predialysis education on both haemodialysis and peritoneal dialysis, had lower dialysis knowledge and perceived lower professional support reported higher decisional conflict on choosing dialysis modality. Relevance to clinical practice When providing decisional support to predialysis stage patients, practitioners need to increase patients' decision self‐efficacy, provide both haemodialysis and peritoneal dialysis predialysis education, increase dialysis knowledge and provide professional support.

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