The Delphi technique is a systematic process of forecasting using the collective opinion of panel members.The structured method of developing consensus among panel members using Delphi methodology has gained acceptanc...The Delphi technique is a systematic process of forecasting using the collective opinion of panel members.The structured method of developing consensus among panel members using Delphi methodology has gained acceptance in diverse fields of medicine.The Delphi methods assumed a pivotal role in the last few decades to develop best practice guidance using collective intelligence where research is limited,ethically/logistically difficult or evidence is conflicting.However,the attempts to assess the quality standard of Delphi studies have reported significant variance,and details of the process followed are usually unclear.We recommend systematic quality tools for evaluation of Delphi methodology;identification of problem area of research,selection of panel,anonymity of panelists,controlled feedback,iterative Delphi rounds,consensus criteria,analysis of consensus,closing criteria,and stability of the results.Based on these nine qualitative evaluation points,we assessed the quality of Delphi studies in the medical field related to coronavirus disease 2019.There was inconsistency in reporting vital elements of Delphi methods such as identification of panel members,defining consensus,closing criteria for rounds,and presenting the results.We propose our evaluation points for researchers,medical journal editorial boards,and reviewers to evaluate the quality of the Delphi methods in healthcare research.展开更多
Objective: To explore the methodology of the evidence-based expert consensus formulation process of traditional Chinese medicine(TCM) nursing taking stroke as an example.Methods: First, preliminary and comprehensive p...Objective: To explore the methodology of the evidence-based expert consensus formulation process of traditional Chinese medicine(TCM) nursing taking stroke as an example.Methods: First, preliminary and comprehensive presentation of all stroke-related symptoms and corresponding TCM nursing techniques involved were revealed through bibliometric analysis. Then, selection of stroke symptoms and TCM nursing techniques for inclusion in the consensus was performed using an expert consultation method. Next, we determined the search strategy for a precise evidence search;conducted an evaluation of evidence quality and the grade of the evidence;and completed evidence extraction, evidence analysis, and evidence synthesis based on the included symptoms and TCM nursing techniques. The Delphi method was then applied to determine the strength of each recommendation and the choice of nursing care points by referring to the Grading of Recommendations, Assessment, Development, and Evaluations grid. Finally, we conducted an external expert validation of the Delphi results to form an expert consensus guideline.Results: Through the bibliometric analysis, 22 stroke symptoms and 18 TCM nursing techniques were identified in the literature. Then, after expert consultation, 22 symptoms and 111 pairs of symptoms combined with TCM nursing techniques were selected for the evidence search. Evidence integration yielded 10 stroke symptoms corresponding to 29 bodies of evidence;these 10 symptoms were retained through the Delphi consultation, and recommendation strength results for 26 recommendations were obtained. A total of 9 symptoms were further retained for expert external validation to form 24 recommendations, with a recommendation process score range of 7.64-9.99 points and a more scientific and standardized recommendation-formation process.Conclusion: Owing to the current limited conditions of evidence-based resources for TCM nursing, the present consensus-building process represents only a preliminary exploration of an evidence-based expert consensus for TCM nursing to provide a reference for a more scientific and standardized methodology.展开更多
Esophageal cancer is one of the common malignant tumors in humans.Traditional Chinese medicine(TCM)has unique advantages in the treatment of esophageal cancer.However,the TCM syndrome classification of esophageal canc...Esophageal cancer is one of the common malignant tumors in humans.Traditional Chinese medicine(TCM)has unique advantages in the treatment of esophageal cancer.However,the TCM syndrome classification of esophageal cancer is not standardized.This Delphi survey aimed to explore the TCM syndrome classification and symptom characteristics of esophageal cancer.Methods:Based on literature research,an expert consultation questionnaire was developed for the study of the TCM syndrome rules of esophageal cancer.Two rounds of questionnaire surveys were conducted among 62 experts across the country.Statistical description and statistical analysis of the mean,coefficient of variation,grade sum,and unimportant percentage of the retrieved data.TCM syndrome rules and diagnostic indicators for esophageal cancer after screening and sorting out the questionnaire items,convening experts to demonstrate.Results:62 valid questionnaires were collected,and the expert positive coefficient was 100%.The Kendall's coefficient of concordance W of the first and second rounds are 0.232 and 0.2334 respectively.In addition,the Kendall's coefficient of concordance W of the second round has been improved compared with the first round,suggesting that experts have a better degree of coordination on the importance of indicators.The common TCM syndromes of esophageal cancer are obtained:"liver-stomach disharmony,phlegm and qi obstruction syndrome","liver and spleen disorders,phlegm accumulating with stagnation syndrome","deficiency of liver and kidney yin,stubborn blood syndrome","deficiency of spleen and kidney yang,stubborn blood syndrome".Conclusion:The TCM syndrome indicators of esophageal cancer has been established.It provides a basis for the standardized research of TCM syndrome diagnosis of esophageal cancer,which is of positive significance for improving the level of clinical diagnosis and treatment.展开更多
Objective:To develop nursing adverse events’reporting content of hospital.Methods:The study included two phases.The first phase was to develop the category and definition of nursing adverse events that need to be rep...Objective:To develop nursing adverse events’reporting content of hospital.Methods:The study included two phases.The first phase was to develop the category and definition of nursing adverse events that need to be reported through an expert meeting.The second phase was to develop every nursing adverse event’s reporting content by using the Delphi method.In total,8 experts attended the meeting and 15 experts conducted two rounds of consultation letter.Results:Nursing adverse events that need to be reported of hospital include pressure sore,fall/falling from bed,unplanned extubation,medication error,and accident.Reporting content of these events in detail had also been obtained,which was helpful for cause analysis systematically.Conclusions:The reporting content of the nursing adverse event of hospital is established,and it is a basis for further study of the development of nursing adverse event reporting and feedback system.展开更多
This study aims to establish an expert consensus and enhance the efficacy of decision-making processes by integrating Spherical Fuzzy Sets(SFSs)and Z-Numbers(SFZs).A novel group expert consensus technique,the PHImodel...This study aims to establish an expert consensus and enhance the efficacy of decision-making processes by integrating Spherical Fuzzy Sets(SFSs)and Z-Numbers(SFZs).A novel group expert consensus technique,the PHImodel,is developed to address the inherent limitations of both SFSs and the traditional Delphi technique,particularly in uncertain,complex scenarios.In such contexts,the accuracy of expert knowledge and the confidence in their judgments are pivotal considerations.This study provides the fundamental operational principles and aggregation operators associated with SFSs and Z-numbers,encompassing weighted geometric and arithmetic operators alongside fully developed operators tailored for SFZs numbers.Subsequently,a case study and comparative analysis are conducted to illustrate the practicality and effectiveness of the proposed operators and methodologies.Integrating the PHI model with SFZs numbers represents a significant advancement in decision-making frameworks reliant on expert input.Further,this combination serves as a comprehensive tool for decision-makers,enabling them to achieve heightened levels of consensus while concurrently assessing the reliability of expert contributions.The case study results demonstrate the PHI model’s utility in resolving complex decision-making scenarios,showcasing its ability to improve consensus-building processes and enhance decision outcomes.Additionally,the comparative analysis highlights the superiority of the integrated approach over traditional methodologies,underscoring its potential to revolutionize decision-making practices in uncertain environments.展开更多
文摘The Delphi technique is a systematic process of forecasting using the collective opinion of panel members.The structured method of developing consensus among panel members using Delphi methodology has gained acceptance in diverse fields of medicine.The Delphi methods assumed a pivotal role in the last few decades to develop best practice guidance using collective intelligence where research is limited,ethically/logistically difficult or evidence is conflicting.However,the attempts to assess the quality standard of Delphi studies have reported significant variance,and details of the process followed are usually unclear.We recommend systematic quality tools for evaluation of Delphi methodology;identification of problem area of research,selection of panel,anonymity of panelists,controlled feedback,iterative Delphi rounds,consensus criteria,analysis of consensus,closing criteria,and stability of the results.Based on these nine qualitative evaluation points,we assessed the quality of Delphi studies in the medical field related to coronavirus disease 2019.There was inconsistency in reporting vital elements of Delphi methods such as identification of panel members,defining consensus,closing criteria for rounds,and presenting the results.We propose our evaluation points for researchers,medical journal editorial boards,and reviewers to evaluate the quality of the Delphi methods in healthcare research.
基金supported by the Best Practice Spotlight Organization (Ottawa, Canada)Key Research Project of the Beijing University of Chinese Medicine (2020-JYB-ZDGG-075Beijing, China)
文摘Objective: To explore the methodology of the evidence-based expert consensus formulation process of traditional Chinese medicine(TCM) nursing taking stroke as an example.Methods: First, preliminary and comprehensive presentation of all stroke-related symptoms and corresponding TCM nursing techniques involved were revealed through bibliometric analysis. Then, selection of stroke symptoms and TCM nursing techniques for inclusion in the consensus was performed using an expert consultation method. Next, we determined the search strategy for a precise evidence search;conducted an evaluation of evidence quality and the grade of the evidence;and completed evidence extraction, evidence analysis, and evidence synthesis based on the included symptoms and TCM nursing techniques. The Delphi method was then applied to determine the strength of each recommendation and the choice of nursing care points by referring to the Grading of Recommendations, Assessment, Development, and Evaluations grid. Finally, we conducted an external expert validation of the Delphi results to form an expert consensus guideline.Results: Through the bibliometric analysis, 22 stroke symptoms and 18 TCM nursing techniques were identified in the literature. Then, after expert consultation, 22 symptoms and 111 pairs of symptoms combined with TCM nursing techniques were selected for the evidence search. Evidence integration yielded 10 stroke symptoms corresponding to 29 bodies of evidence;these 10 symptoms were retained through the Delphi consultation, and recommendation strength results for 26 recommendations were obtained. A total of 9 symptoms were further retained for expert external validation to form 24 recommendations, with a recommendation process score range of 7.64-9.99 points and a more scientific and standardized recommendation-formation process.Conclusion: Owing to the current limited conditions of evidence-based resources for TCM nursing, the present consensus-building process represents only a preliminary exploration of an evidence-based expert consensus for TCM nursing to provide a reference for a more scientific and standardized methodology.
基金the Key scientific research projects of higher education institutions in Henan Province(20A360005)The consulting service costs was paid by the Henan Science and Technology Research and Social Development Project(202102310497)National Chinese Medicine Leading Talents Support Program-Qi Huang Scholars(Guo Chinese Medicine Ren Jiao Han[2018]No.284 and Special Scientific Research Project of National Clinical Research Base of Traditional Chinese Medicine(2019JDZX001,2019 JDZX028).
文摘Esophageal cancer is one of the common malignant tumors in humans.Traditional Chinese medicine(TCM)has unique advantages in the treatment of esophageal cancer.However,the TCM syndrome classification of esophageal cancer is not standardized.This Delphi survey aimed to explore the TCM syndrome classification and symptom characteristics of esophageal cancer.Methods:Based on literature research,an expert consultation questionnaire was developed for the study of the TCM syndrome rules of esophageal cancer.Two rounds of questionnaire surveys were conducted among 62 experts across the country.Statistical description and statistical analysis of the mean,coefficient of variation,grade sum,and unimportant percentage of the retrieved data.TCM syndrome rules and diagnostic indicators for esophageal cancer after screening and sorting out the questionnaire items,convening experts to demonstrate.Results:62 valid questionnaires were collected,and the expert positive coefficient was 100%.The Kendall's coefficient of concordance W of the first and second rounds are 0.232 and 0.2334 respectively.In addition,the Kendall's coefficient of concordance W of the second round has been improved compared with the first round,suggesting that experts have a better degree of coordination on the importance of indicators.The common TCM syndromes of esophageal cancer are obtained:"liver-stomach disharmony,phlegm and qi obstruction syndrome","liver and spleen disorders,phlegm accumulating with stagnation syndrome","deficiency of liver and kidney yin,stubborn blood syndrome","deficiency of spleen and kidney yang,stubborn blood syndrome".Conclusion:The TCM syndrome indicators of esophageal cancer has been established.It provides a basis for the standardized research of TCM syndrome diagnosis of esophageal cancer,which is of positive significance for improving the level of clinical diagnosis and treatment.
文摘Objective:To develop nursing adverse events’reporting content of hospital.Methods:The study included two phases.The first phase was to develop the category and definition of nursing adverse events that need to be reported through an expert meeting.The second phase was to develop every nursing adverse event’s reporting content by using the Delphi method.In total,8 experts attended the meeting and 15 experts conducted two rounds of consultation letter.Results:Nursing adverse events that need to be reported of hospital include pressure sore,fall/falling from bed,unplanned extubation,medication error,and accident.Reporting content of these events in detail had also been obtained,which was helpful for cause analysis systematically.Conclusions:The reporting content of the nursing adverse event of hospital is established,and it is a basis for further study of the development of nursing adverse event reporting and feedback system.
文摘This study aims to establish an expert consensus and enhance the efficacy of decision-making processes by integrating Spherical Fuzzy Sets(SFSs)and Z-Numbers(SFZs).A novel group expert consensus technique,the PHImodel,is developed to address the inherent limitations of both SFSs and the traditional Delphi technique,particularly in uncertain,complex scenarios.In such contexts,the accuracy of expert knowledge and the confidence in their judgments are pivotal considerations.This study provides the fundamental operational principles and aggregation operators associated with SFSs and Z-numbers,encompassing weighted geometric and arithmetic operators alongside fully developed operators tailored for SFZs numbers.Subsequently,a case study and comparative analysis are conducted to illustrate the practicality and effectiveness of the proposed operators and methodologies.Integrating the PHI model with SFZs numbers represents a significant advancement in decision-making frameworks reliant on expert input.Further,this combination serves as a comprehensive tool for decision-makers,enabling them to achieve heightened levels of consensus while concurrently assessing the reliability of expert contributions.The case study results demonstrate the PHI model’s utility in resolving complex decision-making scenarios,showcasing its ability to improve consensus-building processes and enhance decision outcomes.Additionally,the comparative analysis highlights the superiority of the integrated approach over traditional methodologies,underscoring its potential to revolutionize decision-making practices in uncertain environments.