Real-Time Delphi in practice — A comparative analysis of existing software-based tools

Aengenheyster, Stefan; Cuhls, Kerstin; Gerhold, Lars; Heiskanen-Schüttler, Maria; Huck, Jana; Muszynska, Monika

doi:10.1016/j.techfore.2017.01.023

Cited by 102 publications

(59 citation statements)

References 10 publications

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“…Therefore, as with all self‐administered surveys, responses reflect the perceptions of respondents and may not reflect actual practice. While data were collected by questionnaire, it was developed using a real‐time Delphi technique (Aengenheyster et al, 2017) involving 12 experts in emergency nursing. This approach is appropriate when no previous data collection tool exists (Keeney, Hasson, & McKenna, 2011; Vernon, 2009; de Villiers, Villiers, & Kent, 2005).…”

Section: Discussionmentioning

confidence: 99%

“…rounds); calculation and provision of member responses are fed back in real‐time, instead of at the end of each round. Panel members can change their opinion as often as they like within a set timeframe (Aengenheyster et al, 2017). Of 74 items initially proposed, 58 (78.4%) reached consensus in the first week of the real‐time Delphi, 12 (16.2%) were modified to improve clarity, and a further 17 items were added by the expert panel to improve survey depth.…”

Section: Methodsmentioning

confidence: 99%

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Pain assessment and interventions by nurses in the emergency department: A national survey

Varndell

Fry

Elliott

2020

Journal of Clinical Nursing

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Aim The aim of this study was to examine the knowledge, perceptions and factors influencing pain assessment and management practices among Australian emergency nurses. Background Pain is the most commonly reported symptom in patients presenting to the emergency department, with over half rating their pain as moderate‐to‐severe. Patients unable to communicate, such as critically ill intubated patients, are at greater risk of inadequate pain management. Design This cross‐sectional exploratory study used survey methodology to explore knowledge, perceptions and factors influencing pain management practices among Australian emergency nurses. Methods Australian emergency nurses were invited to complete an online survey comprising 91 items. The response rate was 450 of 1,488 (30.2%). STROBE guidelines were used in reporting this study. Results Variations in level of acute pain management knowledge, especially in older, cognitively impaired or mechanically ventilated patients were identified. Poor interprofessional communication, workload and staffing negatively impacted on nurses’ intention to administer analgesia. For intubated patients, validated observation pain assessment instruments were rarely used, although respondents recognised the importance of pain management in critically ill patients. Conclusions Emergency nurses recognise the importance of pain relief. The ability to nurse‐initiate analgesia, education and training in pain management education is variable. Little education is provided on assessing and managing acute pain in elderly, cognitively impaired or mechanically ventilated patients. Use of validated pain assessment instruments to assess pain in critically ill patients is poor. Relevance to clinical practice While pain management is the responsibility of all healthcare professionals, in the emergency department, it is a core role of emergency nursing. This study highlights the variation in ability to nurse‐initiate analgesia, level of acute pain knowledge, education and training, and use of validated pain assessment instruments to guide pain management in critically ill intubated patients.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Pain assessment and interventions by nurses in the emergency department: A national survey

Varndell

Fry

Elliott

2020

Journal of Clinical Nursing

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“…Numerous different variants of Delphi techniques have been developed over the last few years. There are Realtime Delphi ' s in which expert judgments are fed back online in real time ( 30 ). In so-called Delphi Markets , the Delphi concept is combined with prediction markets and information markets, as well as with the findings of big data research, to improve its forecasting capabilities ( 31 ).…”

Section: Introductionmentioning

confidence: 99%

Delphi Technique in Health Sciences: A Map

Niederberger

Spranger

2020

Front. Public Health

515

438

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Objectives: In health sciences, the Delphi technique is primarily used by researchers when the available knowledge is incomplete or subject to uncertainty and other methods that provide higher levels of evidence cannot be used. The aim is to collect expert-based judgments and often to use them to identify consensus. In this map, we provide an overview of the fields of application for Delphi techniques in health sciences in this map and discuss the processes used and the quality of the findings. We use systematic reviews of Delphi techniques for the map, summarize their findings and examine them from a methodological perspective. Methods: Twelve systematic reviews of Delphi techniques from different sectors of the health sciences were identified and systematically analyzed. Results: The 12 systematic reviews show, that Delphi studies are typically carried out in two to three rounds with a deliberately selected panel of experts. A large number of modifications to the Delphi technique have now been developed. Significant weaknesses exist in the quality of the reporting. Conclusion: Based on the results, there is a need for clarification with regard to the methodological approaches of Delphi techniques, also with respect to any modification. Criteria for evaluating the quality of their execution and reporting also appear to be necessary. However, it should be noted that we cannot make any statements about the quality of execution of the Delphi studies but rather our results are exclusively based on the reported findings of the systematic reviews.

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“…We conducted a two-round Delphi study between November 2017 and March 2018 with 31 experts from humanitarian organizations. It was administered electronically using the Calibrum Surveylet Software (Aengenheyster et al, 2017) and can, consequently, be called e-Delphi (Hasson and Keeney, 2011). After the finalization of the Delphi study, in April 2018, we conducted a complementary full-day focus group with ten experts from humanitarian organizations and two experts from LSPs (Morgan and Krueger, 1997;Morgan, 1996;Kitzinger, 1995).…”

Section: Methodsmentioning

confidence: 99%

Applying the Delphi method to determine best practices for outsourcing logistics in disaster relief

Gossler

Sigala

Wakolbinger

et al. 2019

JHLSCM

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Purpose The purpose of this paper is to determine best practices of aid agencies for outsourcing logistics to commercial logistics service providers (LSPs) in disaster relief. Moreover, it evaluates the application of the Delphi method for research in humanitarian logistics. Design/methodology/approach The paper is based on a two-round Delphi study with 31 experts from aid agencies and a complementary full-day focus group with 12 experts from aid agencies and LSPs. Findings The study revealed 12 best practices for outsourcing logistics in disaster relief and a compilation of more than 100 activities for putting these practices into action. Experts consider a proper balance between efficiency and compliance, a detailed contract and a detailed service request most important. Additionally, the Delphi method was found to be a promising technique for research on humanitarian logistics. Research limitations/implications By critically examining the Delphi method, this study establishes the basis for a wider application of the technique in the field of humanitarian logistics. Furthermore, it can help to prioritize future research as the ranking of practices reflects the priorities of practitioners. Practical implications The paper provides guidance to practitioners at aid agencies in charge of outsourcing logistics. Originality/value This research is one of the first in the field of humanitarian logistics to apply the Delphi method. Moreover, it addresses the lack of literature dealing with approaches for building successful cross-sectoral partnerships.

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Real-Time Delphi in practice — A comparative analysis of existing software-based tools

Cited by 102 publications

References 10 publications

Pain assessment and interventions by nurses in the emergency department: A national survey

Pain assessment and interventions by nurses in the emergency department: A national survey

Delphi Technique in Health Sciences: A Map

Applying the Delphi method to determine best practices for outsourcing logistics in disaster relief

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