Standard

Illness scripts in nursing: Directed content analysis. / Vreugdenhil, Jettie; Döpp, Donna; Custers, Eugène J. F. M. et al.

In: Journal of advanced nursing, Vol. 78, No. 1, 01.2022, p. 201-210.

Research output: Contribution to journalArticleAcademicpeer-review

Harvard

Vreugdenhil, J, Döpp, D, Custers, EJFM, Reinders, ME, Dobber, J & Kusukar, RA 2022, 'Illness scripts in nursing: Directed content analysis', Journal of advanced nursing, vol. 78, no. 1, pp. 201-210. https://doi.org/10.1111/jan.15011

APA

Vreugdenhil, J., Döpp, D., Custers, E. J. F. M., Reinders, M. E., Dobber, J., & Kusukar, R. A. (2022). Illness scripts in nursing: Directed content analysis. Journal of advanced nursing, 78(1), 201-210. https://doi.org/10.1111/jan.15011

Vancouver

Vreugdenhil J, Döpp D, Custers EJFM, Reinders ME, Dobber J, Kusukar RA. Illness scripts in nursing: Directed content analysis. Journal of advanced nursing. 2022 Jan;78(1):201-210. Epub 2021. doi: 10.1111/jan.15011

Author

Vreugdenhil, Jettie ; Döpp, Donna ; Custers, Eugène J. F. M. et al. / Illness scripts in nursing: Directed content analysis. In: Journal of advanced nursing. 2022 ; Vol. 78, No. 1. pp. 201-210.

BibTeX

@article{f0f5d9615c434ed4ae810fce0d8471ae,
title = "Illness scripts in nursing: Directed content analysis",
abstract = "Aims: To explore the possible extension of the illness script theory used in medicine to the nursing context. Design: A qualitative interview study. Methods: The study was conducted between September 2019 and March 2020. Expert nurses were asked to think aloud about 20 patient problems in nursing. A directed content analysis approach including quantitative data processing was used to analyse the transcribed data. Results: Through the analysis of 3912 statements, scripts were identified and a nursing script model is proposed; the medical illness script, including enabling conditions, fault and consequences, is extended with management, boundary, impact, occurrence and explicative statements. Nurses often used explicative statements when pathophysiological causes are absent or unknown. To explore the applicability of Illness script theory we analysed scripts{\textquoteright} richness and maturity with descriptive statistics. Expert nurses, like medical experts, had rich knowledge of consequences, explicative statements and management of familiar patient problems. Conclusion: The knowledge of expert nurses about patient problems can be described in scripts; the components of medical illness scripts are also relevant in nursing. We propose to extend the original illness script concept with management, explicative statements, boundary, impact and occurrence, to enlarge the applicability of illness scripts in the nursing domain. Impact: Illness scripts guide clinical reasoning in patient care. Insights into illness scripts of nursing experts is a necessary first step to develop goals or guidelines for student nurses{\textquoteright} development of clinical reasoning. It might lay the groundwork for future educational strategies.",
keywords = "advanced practice, clinical judgement, clinical reasoning, directed content analysis, education, illness scripts, nurses, nursing",
author = "Jettie Vreugdenhil and Donna D{\"o}pp and Custers, {Eug{\`e}ne J. F. M.} and Reinders, {Marcel E.} and Jos Dobber and Kusukar, {Rashmi A.}",
note = "Funding Information: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors. No conflict of interest has been declared by the authors Publisher Copyright: {\textcopyright} 2021 The Authors. Journal of Advanced Nursing published by John Wiley & Sons Ltd.",
year = "2022",
month = jan,
doi = "10.1111/jan.15011",
language = "English",
volume = "78",
pages = "201--210",
journal = "Journal of advanced nursing",
issn = "0309-2402",
publisher = "Wiley-Blackwell",
number = "1",

}

RIS

TY - JOUR

T1 - Illness scripts in nursing: Directed content analysis

AU - Vreugdenhil, Jettie

AU - Döpp, Donna

AU - Custers, Eugène J. F. M.

AU - Reinders, Marcel E.

AU - Dobber, Jos

AU - Kusukar, Rashmi A.

N1 - Funding Information: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors. No conflict of interest has been declared by the authors Publisher Copyright: © 2021 The Authors. Journal of Advanced Nursing published by John Wiley & Sons Ltd.

PY - 2022/1

Y1 - 2022/1

N2 - Aims: To explore the possible extension of the illness script theory used in medicine to the nursing context. Design: A qualitative interview study. Methods: The study was conducted between September 2019 and March 2020. Expert nurses were asked to think aloud about 20 patient problems in nursing. A directed content analysis approach including quantitative data processing was used to analyse the transcribed data. Results: Through the analysis of 3912 statements, scripts were identified and a nursing script model is proposed; the medical illness script, including enabling conditions, fault and consequences, is extended with management, boundary, impact, occurrence and explicative statements. Nurses often used explicative statements when pathophysiological causes are absent or unknown. To explore the applicability of Illness script theory we analysed scripts’ richness and maturity with descriptive statistics. Expert nurses, like medical experts, had rich knowledge of consequences, explicative statements and management of familiar patient problems. Conclusion: The knowledge of expert nurses about patient problems can be described in scripts; the components of medical illness scripts are also relevant in nursing. We propose to extend the original illness script concept with management, explicative statements, boundary, impact and occurrence, to enlarge the applicability of illness scripts in the nursing domain. Impact: Illness scripts guide clinical reasoning in patient care. Insights into illness scripts of nursing experts is a necessary first step to develop goals or guidelines for student nurses’ development of clinical reasoning. It might lay the groundwork for future educational strategies.

AB - Aims: To explore the possible extension of the illness script theory used in medicine to the nursing context. Design: A qualitative interview study. Methods: The study was conducted between September 2019 and March 2020. Expert nurses were asked to think aloud about 20 patient problems in nursing. A directed content analysis approach including quantitative data processing was used to analyse the transcribed data. Results: Through the analysis of 3912 statements, scripts were identified and a nursing script model is proposed; the medical illness script, including enabling conditions, fault and consequences, is extended with management, boundary, impact, occurrence and explicative statements. Nurses often used explicative statements when pathophysiological causes are absent or unknown. To explore the applicability of Illness script theory we analysed scripts’ richness and maturity with descriptive statistics. Expert nurses, like medical experts, had rich knowledge of consequences, explicative statements and management of familiar patient problems. Conclusion: The knowledge of expert nurses about patient problems can be described in scripts; the components of medical illness scripts are also relevant in nursing. We propose to extend the original illness script concept with management, explicative statements, boundary, impact and occurrence, to enlarge the applicability of illness scripts in the nursing domain. Impact: Illness scripts guide clinical reasoning in patient care. Insights into illness scripts of nursing experts is a necessary first step to develop goals or guidelines for student nurses’ development of clinical reasoning. It might lay the groundwork for future educational strategies.

KW - advanced practice

KW - clinical judgement

KW - clinical reasoning

KW - directed content analysis

KW - education

KW - illness scripts

KW - nurses

KW - nursing

UR - http://www.scopus.com/inward/record.url?scp=85112162998&partnerID=8YFLogxK

U2 - 10.1111/jan.15011

DO - 10.1111/jan.15011

M3 - Article

C2 - 34378221

VL - 78

SP - 201

EP - 210

JO - Journal of advanced nursing

JF - Journal of advanced nursing

SN - 0309-2402

IS - 1

ER -

ID: 19632404