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Examining patient distress and unmet need for support across UK renal units with varying models of psychosocial care delivery: a cross-sectional survey study

OBJECTIVE: To examine in-centre haemodialysis patients’ emotional distress and need for support across UK renal units with varying models of psychosocial service provision. DESIGN: The study used a cross-sectional survey design. Logistic regression analysis was used to examine patient distress, as c...

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Autores principales: Seekles, Maaike, Ormandy, Paula, Kamerāde, Daiga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500306/
https://www.ncbi.nlm.nih.gov/pubmed/32948556
http://dx.doi.org/10.1136/bmjopen-2020-036931
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author Seekles, Maaike
Ormandy, Paula
Kamerāde, Daiga
author_facet Seekles, Maaike
Ormandy, Paula
Kamerāde, Daiga
author_sort Seekles, Maaike
collection PubMed
description OBJECTIVE: To examine in-centre haemodialysis patients’ emotional distress and need for support across UK renal units with varying models of psychosocial service provision. DESIGN: The study used a cross-sectional survey design. Logistic regression analysis was used to examine patient distress, as captured by the Distress Thermometer, and need for support, across different renal units. SETTING: Seven renal units across England, Wales and Scotland. The units were purposively selected so that varying workforce models of renal psychosocial services were represented. PARTICIPANTS: In total, 752 patients were on dialysis in the participating centres on the days of data collection. All adult patients, who could understand English, and with capacity (as determined by the nurse in charge), were eligible to participate in the study. The questionnaire was completed by 509 patients, resulting in an overall response rate of 67.7%. OUTCOME MEASURES: The prevalence of distress and patient-reported need for support. RESULTS: The results showed that 48.9% (95% CI 44.5 to 53.4) of respondents experienced distress. A significant association between distress and models of renal psychosocial service provision was found (χ(2)(6)=15.05, p=0.019). Multivariable logistic regression showed that patients in units with higher total psychosocial staffing ratios (OR 0.65 (95% CI 0.47 to 0.89); p=0.008) and specifically higher social work ratios (OR 0.49 (95% CI 0.33 to 0.74); p=0.001) were less likely to experience distress, even after controlling for demographic variables. In addition, a higher patient-reported unmet need for support was found in units where psychosocial staffing numbers are low or non-existent (χ(2)(6)=37.80, p<0.001). CONCLUSIONS: The novel findings emphasise a need for increased incorporation of dedicated renal psychosocial staff into the renal care pathway. Importantly, these members of staff should be able to offer support for psychological as well as practical and social care-related issues.
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spelling pubmed-75003062020-10-05 Examining patient distress and unmet need for support across UK renal units with varying models of psychosocial care delivery: a cross-sectional survey study Seekles, Maaike Ormandy, Paula Kamerāde, Daiga BMJ Open Renal Medicine OBJECTIVE: To examine in-centre haemodialysis patients’ emotional distress and need for support across UK renal units with varying models of psychosocial service provision. DESIGN: The study used a cross-sectional survey design. Logistic regression analysis was used to examine patient distress, as captured by the Distress Thermometer, and need for support, across different renal units. SETTING: Seven renal units across England, Wales and Scotland. The units were purposively selected so that varying workforce models of renal psychosocial services were represented. PARTICIPANTS: In total, 752 patients were on dialysis in the participating centres on the days of data collection. All adult patients, who could understand English, and with capacity (as determined by the nurse in charge), were eligible to participate in the study. The questionnaire was completed by 509 patients, resulting in an overall response rate of 67.7%. OUTCOME MEASURES: The prevalence of distress and patient-reported need for support. RESULTS: The results showed that 48.9% (95% CI 44.5 to 53.4) of respondents experienced distress. A significant association between distress and models of renal psychosocial service provision was found (χ(2)(6)=15.05, p=0.019). Multivariable logistic regression showed that patients in units with higher total psychosocial staffing ratios (OR 0.65 (95% CI 0.47 to 0.89); p=0.008) and specifically higher social work ratios (OR 0.49 (95% CI 0.33 to 0.74); p=0.001) were less likely to experience distress, even after controlling for demographic variables. In addition, a higher patient-reported unmet need for support was found in units where psychosocial staffing numbers are low or non-existent (χ(2)(6)=37.80, p<0.001). CONCLUSIONS: The novel findings emphasise a need for increased incorporation of dedicated renal psychosocial staff into the renal care pathway. Importantly, these members of staff should be able to offer support for psychological as well as practical and social care-related issues. BMJ Publishing Group 2020-09-17 /pmc/articles/PMC7500306/ /pubmed/32948556 http://dx.doi.org/10.1136/bmjopen-2020-036931 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Renal Medicine
Seekles, Maaike
Ormandy, Paula
Kamerāde, Daiga
Examining patient distress and unmet need for support across UK renal units with varying models of psychosocial care delivery: a cross-sectional survey study
title Examining patient distress and unmet need for support across UK renal units with varying models of psychosocial care delivery: a cross-sectional survey study
title_full Examining patient distress and unmet need for support across UK renal units with varying models of psychosocial care delivery: a cross-sectional survey study
title_fullStr Examining patient distress and unmet need for support across UK renal units with varying models of psychosocial care delivery: a cross-sectional survey study
title_full_unstemmed Examining patient distress and unmet need for support across UK renal units with varying models of psychosocial care delivery: a cross-sectional survey study
title_short Examining patient distress and unmet need for support across UK renal units with varying models of psychosocial care delivery: a cross-sectional survey study
title_sort examining patient distress and unmet need for support across uk renal units with varying models of psychosocial care delivery: a cross-sectional survey study
topic Renal Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500306/
https://www.ncbi.nlm.nih.gov/pubmed/32948556
http://dx.doi.org/10.1136/bmjopen-2020-036931
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