Component network meta-analysis identifies the most effective components of psychological preparation for adults undergoing surgery under general anaesthesia

Suzanne C Freeman, Neil W Scott, Rachael Powell, Marie Johnston, Alex J Sutton, Nicola J Cooper

Research output: Contribution to journalArticle

3 Citations (Scopus)
12 Downloads (Pure)

Abstract

Objective: To apply component network meta-analysis (CNMA) models to an existing Cochrane review of psychological preparation interventions for adults undergoing surgery and to extend the models to account for covariates to identify the most effective components for improving postoperative outcomes.

Study design and setting: Interventions consisted of between one and four components of psychological preparation: procedural information, sensory information, behavioural instruction, cognitive interventions, relaxation and emotion-focused techniques. We used component network meta-analysis models to assess the effect of each component for three outcomes: length of stay, pain and negative affect.

Results: We found evidence that the most effective component for reducing length of stay depends on the type of surgery and that relaxation may improve pain. There was insufficient evidence that individual components contributed to the overall reduction in negative affect but procedural and sensory information emerged as the most likely beneficial components. Overall, we were unable to identify any one component as the most effective across all three outcomes.

Conclusion: The CNMA method allowed us to address questions about the effects of specific components that could not be answered using standard Cochrane methodology.
Original languageEnglish
Pages (from-to)105-116
Number of pages12
JournalJournal of Clinical Epidemiology
Volume98
Early online date21 Feb 2018
DOIs
Publication statusPublished - Jun 2018

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General Anesthesia
Psychology
Length of Stay
Pain
Emotions
Network Meta-Analysis

Keywords

  • network meta-analysis
  • complex interventions
  • psychological preparation
  • surgery

Cite this

Component network meta-analysis identifies the most effective components of psychological preparation for adults undergoing surgery under general anaesthesia. / Freeman, Suzanne C ; Scott, Neil W; Powell, Rachael; Johnston, Marie; Sutton, Alex J ; Cooper, Nicola J .

In: Journal of Clinical Epidemiology, Vol. 98, 06.2018, p. 105-116.

Research output: Contribution to journalArticle

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abstract = "Objective: To apply component network meta-analysis (CNMA) models to an existing Cochrane review of psychological preparation interventions for adults undergoing surgery and to extend the models to account for covariates to identify the most effective components for improving postoperative outcomes. Study design and setting: Interventions consisted of between one and four components of psychological preparation: procedural information, sensory information, behavioural instruction, cognitive interventions, relaxation and emotion-focused techniques. We used component network meta-analysis models to assess the effect of each component for three outcomes: length of stay, pain and negative affect.Results: We found evidence that the most effective component for reducing length of stay depends on the type of surgery and that relaxation may improve pain. There was insufficient evidence that individual components contributed to the overall reduction in negative affect but procedural and sensory information emerged as the most likely beneficial components. Overall, we were unable to identify any one component as the most effective across all three outcomes.Conclusion: The CNMA method allowed us to address questions about the effects of specific components that could not be answered using standard Cochrane methodology.",
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author = "Freeman, {Suzanne C} and Scott, {Neil W} and Rachael Powell and Marie Johnston and Sutton, {Alex J} and Cooper, {Nicola J}",
note = "The Complex Reviews Support Unit is funded by the National Institute for Health Research (project number 14/178/29). The views and opinions expressed herein are those of the authors and do not necessarily reflect those of the NIHR, NHS or the Department of Health.",
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AU - Freeman, Suzanne C

AU - Scott, Neil W

AU - Powell, Rachael

AU - Johnston, Marie

AU - Sutton, Alex J

AU - Cooper, Nicola J

N1 - The Complex Reviews Support Unit is funded by the National Institute for Health Research (project number 14/178/29). The views and opinions expressed herein are those of the authors and do not necessarily reflect those of the NIHR, NHS or the Department of Health.

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N2 - Objective: To apply component network meta-analysis (CNMA) models to an existing Cochrane review of psychological preparation interventions for adults undergoing surgery and to extend the models to account for covariates to identify the most effective components for improving postoperative outcomes. Study design and setting: Interventions consisted of between one and four components of psychological preparation: procedural information, sensory information, behavioural instruction, cognitive interventions, relaxation and emotion-focused techniques. We used component network meta-analysis models to assess the effect of each component for three outcomes: length of stay, pain and negative affect.Results: We found evidence that the most effective component for reducing length of stay depends on the type of surgery and that relaxation may improve pain. There was insufficient evidence that individual components contributed to the overall reduction in negative affect but procedural and sensory information emerged as the most likely beneficial components. Overall, we were unable to identify any one component as the most effective across all three outcomes.Conclusion: The CNMA method allowed us to address questions about the effects of specific components that could not be answered using standard Cochrane methodology.

AB - Objective: To apply component network meta-analysis (CNMA) models to an existing Cochrane review of psychological preparation interventions for adults undergoing surgery and to extend the models to account for covariates to identify the most effective components for improving postoperative outcomes. Study design and setting: Interventions consisted of between one and four components of psychological preparation: procedural information, sensory information, behavioural instruction, cognitive interventions, relaxation and emotion-focused techniques. We used component network meta-analysis models to assess the effect of each component for three outcomes: length of stay, pain and negative affect.Results: We found evidence that the most effective component for reducing length of stay depends on the type of surgery and that relaxation may improve pain. There was insufficient evidence that individual components contributed to the overall reduction in negative affect but procedural and sensory information emerged as the most likely beneficial components. Overall, we were unable to identify any one component as the most effective across all three outcomes.Conclusion: The CNMA method allowed us to address questions about the effects of specific components that could not be answered using standard Cochrane methodology.

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