Strategies to promote better research on oral health in Africa: A Delphi consensus study

Kanouté, Aida; Faye, Daouda; Bourgeois, Denis

doi:10.4103/0976-237x.128654

Cited by 8 publications

(3 citation statements)

References 16 publications

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“…Compared with the traditional paper-based and snail mail Delphi, the eDelphi offers researchers several other advantages, including the following: (1) Web-based storage, processing, and transmission of secure data; (2) protection of respondent anonymity; (3) rapid feedback to panelists in the form of tables, charts, and statistics; and (4) fewer logistical challenges generally associated with bringing groups of people together for research-related purposes [ 25 , 40 , 41 ]. The eDelphi method is substantially different from in-person focus groups and online discussion forums.…”

Section: Methodsmentioning

confidence: 99%

Evaluating Comparative Effectiveness Research Priorities for Care Coordination in Chronic Obstructive Pulmonary Disease: A Community-Based eDelphi Study

Stellefson

Alber²,

Paige³

et al. 2015

JMIR Res Protoc

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BackgroundDespite research supporting the use of care coordination in chronic obstructive pulmonary disease (COPD), there is relatively little known about the comparative effectiveness of different strategies used to organize care for patients. To investigate the most important COPD care coordination strategies, community-based stakeholder input is needed, especially from medically underserved populations. Web-based platforms are electronic tools now being used to bring together individuals from underrepresented populations to share input and obtain clarification on comparative effectiveness research (CER) ideas, questions, and hypotheses.ObjectiveUse low computer-literate, collaborative survey technology to evaluate stakeholder priorities for CER in COPD care coordination.MethodsA mixed-method, concurrent triangulation design was used to collect survey data from a virtual advisory board of community-based stakeholders including medically underserved patients with COPD, informal caregivers, clinicians, and research scientists. The eDelphi method was used to conduct 3 iterative rounds of Web-based surveys. In the first 2 survey rounds, panelists viewed a series of “mini research prospectus” YouTube video presentations and rated their level of agreement with the importance of 10 COPD care coordination topics using 7-point Likert scales. In the final third-round survey, panelists ranked (1=most important, 8=least important) and commented on 8 remaining topics that panelists favored most throughout the first 2 survey rounds. Following the third-round survey, panelists were asked to provide feedback on the potential impact of a Web-based stakeholder engagement network dedicated to improving CER in COPD.ResultsThirty-seven panelists rated the following care coordination topics as most important (lower means indicate greater importance): (1) measurement of quality of care (mean 2.73, SD 1.95); (2) management of COPD with other chronic health issues (mean 2.92, SD 1.67); (3) pulmonary rehabilitation as a model for care (mean 3.72; SD 1.93); (4) quality of care coordination (mean 4.12, SD 2.41); and (5) comprehensive COPD patient education (mean 4.27, SD 2.38). Stakeholder comments on the relative importance of these care coordination topics primarily addressed the importance of comparing strategies for COPD symptom management and evaluating new methods for patient-provider communication. Approximately one half of the virtual panel assembled indicated that a Web-based stakeholder engagement network could enable more online community meetings (n=19/37, 51%) and facilitate more opportunities to suggest, comment on, and vote for new CER ideas in COPD (n=18/37, 49%).ConclusionsMembers of this unique virtual advisory board engaged in a structured Web-based communication process that identified the most important community-specific COPD care coordination research topics and questions. Findings from this study support the need for more CER that evaluates quality of care measures used to assess the delivery of treatments and inte...

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Section: Methodsmentioning

confidence: 99%

Evaluating Comparative Effectiveness Research Priorities for Care Coordination in Chronic Obstructive Pulmonary Disease: A Community-Based eDelphi Study

Stellefson

Alber²,

Paige³

et al. 2015

JMIR Res Protoc

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“…We engaged 15 experts to employ the 1-9 scale method in creating the pair-wise comparison judgment matrix because it offers greater clarity and simplicity for experts in determining the importance value of each indicator. The study is divided into 14 matrices, structured around three primary indicators, 10 secondary indicators, and 46 tertiary indicators [31]. Weight coe cients for primary, secondary, and tertiary indicators were derived from the matrix analysis results, using the index weight coe cient to evaluate the signi cance of each indicator.…”

Section: Ahp Weight Assessmentmentioning

confidence: 99%

Enhancing Elderly Care Services: A Comprehensive Internet+ Community Home Indicator System

赵,

Huo,

Tan

et al. 2023

Preprint

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Background In the context of the smart city and aging trends, Internet + community home-based care offers a novel approach to elderly care in China. However, limited research has focused on developing a comprehensive indicator system to address the diverse needs of elderly individuals residing at home. Based on existence needs, relationship needs and growth needs abbreviated as "ERG" demand theory. In response, this study leverages the ERG demand theory as a functional framework to establish a demand-oriented Internet + community home-based elderly service indicator system. Methods In this study, we adopt the ERG demand theory as the conceptual framework and employ a combination of the Delphi method and Analytic Hierarchy Process (AHP), thereby integrating both qualitative and quantitative research techniques to develop and assign weightings to the demand-orientated indicator system for Internet-based community home healthcare services for the elderly. Our research methodology is based on comprehensive literature reviews and collaborative group meetings. Results The study developed a demand-orientated Internet + community home healthy elderly service indicator system, comprising three primary indicators, 10 secondary indicators, and 46 tertiary indicators. These top-level indicators, ranked in descending order of importance, are medical and nursing services (0.493), living care services (0.311), and psychosocial/spiritual support services (0.196). Conclusion The indicator system serves the purpose of comprehending the health status and care requirements of elderly individuals confined to their homes while offering personalized services. In addition to addressing the fundamental needs of homebound older people through individualized care and expert medical guidance, this program places a significant emphasis on the spiritual and psychological well-being of these individuals to ensure a holistic approach to their physical and mental needs. This research posits that the indicator system can aid community healthcare workers in discerning the demand distribution for elderly services and optimizing resource allocation. By continuously evaluating and monitoring the indicators, this approach facilitates the enhancement of service quality and the fine-tuning of strategies, ultimately delivering efficient, safe, and high-quality elderly care services.

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“…[ 13 ] In this period, experts were supposed to make comparisons of specific indicators in each judgment matrix, and Saaty 1–9 scale relative materiality table was applied in the grading the importance of the indicators between one and another, the matrix was completed based on the value of relative importance of each subject. [ 14 ] Calculate the primary and secondary index weight coefficient by the survey results of the matrix, and the index weight coefficient was used in judging the importance of the indicators. The judgment of the experts on primary level indicators was input into Microsoft Excel 2010 (Microsoft Corporation, Washington, USA) to build the matrix so that the weight coefficient and maximum eigenvalue (λ max), consistency index (CI), and random consistency ratio (CR) were obtained and collected.…”

Section: Ethodsmentioning

confidence: 99%

Establishment of a Quantitative Medical Technology Evaluation System and Indicators within Medical Institutions

Chen

Pan

et al. 2018

Chinese Medical Journal

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Background:The development and application of medical technologies reflect the medical quality and clinical capacity of a hospital. It is also an effective approach in upgrading medical service and core competitiveness among medical institutions. This study aimed to build a quantitative medical technology evaluation system through questionnaire survey within medical institutions to perform an assessment to medical technologies more objectively and accurately, and promote the management of medical quality technologies and ensure the medical safety of various operations among the hospitals.Methods:A two-leveled quantitative medical technology evaluation system was built through a two-round questionnaire survey of chosen experts. The Delphi method was applied in identifying the structure of evaluation system and indicators. The judgment of the experts on the indicators was adopted in building the matrix so that the weight coefficient and maximum eigenvalue (λ max), consistency index (CI), and random consistency ratio (CR) could be obtained and collected. The results were verified through consistency tests, and the index weight coefficient of each indicator was conducted and calculated through analytical hierarchy process.Results:Twenty-six experts of different medical fields were involved in the questionnaire survey, 25 of whom successfully responded to the two-round research. Altogether, 4 primary indicators (safety, effectiveness, innovativeness, and benefits), as well as 13 secondary indicators, were included in the evaluation system. The matrix is built to conduct the λ max, CI, and CR of each expert in the survey, and the index weight coefficients of primary indicators were 0.33, 0.28, 0.27, and 0.12, respectively, and the index weight coefficients of secondary indicators were conducted and calculated accordingly.Conclusions:As the two-round questionnaire survey of experts and statistical analysis were performed and credibility of the results was verified through consistency evaluation test, the study established a quantitative medical technology evaluation system model and assessment indicators within medical institutions based on the Delphi method and analytical hierarchy process. Moreover, further verifications, adjustments, and optimizations of the system and indicators will be performed in follow-up studies.

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Strategies to promote better research on oral health in Africa: A Delphi consensus study

Cited by 8 publications

References 16 publications

Evaluating Comparative Effectiveness Research Priorities for Care Coordination in Chronic Obstructive Pulmonary Disease: A Community-Based eDelphi Study

Evaluating Comparative Effectiveness Research Priorities for Care Coordination in Chronic Obstructive Pulmonary Disease: A Community-Based eDelphi Study

Enhancing Elderly Care Services: A Comprehensive Internet+ Community Home Indicator System

Establishment of a Quantitative Medical Technology Evaluation System and Indicators within Medical Institutions

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