scholarly journals Minimum standards for reporting outcomes of surgery in urogynaecology

Author(s):  
Philip Toozs-Hobson ◽  
Fiona Bach ◽  
J. Oliver Daly ◽  
Niels Klarskov

Abstract Introduction and hypothesis The IUGA special interest group (SIG) identified a need for a minimum data set (MDS) to inform outcome measurements to be included and simplify data capture and standardise reporting for data collection systems. To define a minimum data set for urogynaecological surgical registries. Methods Existing registries provide an inventory of items. A modified Delphi approach was used to identify a MDS. At each stage reviewers ranked data points and used free text to comment. The rating used a scale of 0–10 at each review and a traffic light system rated the scores as desirable, highly desirable and mandatory. The scores were collated and reported back to clinicians prior to the further rounds. Outliers were highlighted and reviewers re-assessed prior to repeating the process. A comparison of the MDS was made with published outcomes. Results Reviewers were from the outcome SIG with emphasis on widespread representation. Fifteen clinicians from eight countries were involved. Four reviewers dissected the existing databases. Eighty data points were considered in four categories, background, preoperative, intraoperative and postoperative. Consensus was reached by the third round. Two points were added on review (date of surgery and urodynamics). Three background points, five preoperative points, seven intraoperative points and nine postoperative points were identified giving 24 minimum data points in the final recommendation. Conclusions An MDS has been developed for urogynaecological surgical registries. These should be mandatory points which then allow larger varying points to be assessed. These points correspond well to data points used in published papers from established databases.

2019 ◽  
Vol 34 (s1) ◽  
pp. s40-s41
Author(s):  
Malinda Steenkamp ◽  
Paul Arbon ◽  
Adam Lund ◽  
Sheila Turris ◽  
Jamie Ranse ◽  
...  

Introduction:There is currently no standardized approach to collecting mass gathering health data, which makes comparisons across or between events challenging. From 2013 onward, an international team of researchers from Australia and Canada collaborated to develop a Minimum Data Set (MDS) for Mass Gathering Health (MGH).Aim:The process of developing the MDS has been reported on previously at the 2015 and 2017 World Congresses on Disaster and Emergency Medicine, and this presentation will present a final MDS on MGH.Methods:This study drew from literature, including the 2015 Public Health for Mass Gatherings key considerations, previous event/patient registry development, expert input, and the results of the team’s work. The authors developed an MDS framework with the aim to create an online MGH data repository. The framework was populated with an initial list of data elements using a modified Delphi technique.Results:The MDS includes the 41 data elements in the following domains: community characteristics, event characteristics, venue characteristics, crowd characteristics, event safety considerations, public health considerations, and health services. Also included are definitions and preliminary metadata.Discussion:The development of an MGH-MDS can grow the science underpinning this emerging field. Future input from the international community is essential to ensure that the proposed MDS is fit-for-purpose, i.e., systematic, comprehensive, and rigorous, while remaining fluid and relevant for various users and contexts.


Author(s):  
Heather McKay ◽  
Patti-Jean Naylor ◽  
Erica Lau ◽  
Samantha M. Gray ◽  
Luke Wolfenden ◽  
...  

Abstract Background Interventions that work must be effectively delivered at scale to achieve population level benefits. Researchers must choose among a vast array of implementation frameworks (> 60) that guide design and evaluation of implementation and scale-up processes. Therefore, we sought to recommend conceptual frameworks that can be used to design, inform, and evaluate implementation of physical activity (PA) and nutrition interventions at different stages of the program life cycle. We also sought to recommend a minimum data set of implementation outcome and determinant variables (indicators) as well as measures and tools deemed most relevant for PA and nutrition researchers. Methods We adopted a five-round modified Delphi methodology. For rounds 1, 2, and 3 we administered online surveys to PA and nutrition implementation scientists to generate a rank order list of most commonly used; i) implementation and scale-up frameworks, ii) implementation indicators, and iii) implementation and scale-up measures and tools. Measures and tools were excluded after round 2 as input from participants was very limited. For rounds 4 and 5, we conducted two in-person meetings with an expert group to create a shortlist of implementation and scale-up frameworks, identify a minimum data set of indicators and to discuss application and relevance of frameworks and indicators to the field of PA and nutrition. Results The two most commonly referenced implementation frameworks were the Framework for Effective Implementation and the Consolidated Framework for Implementation Research. We provide the 25 most highly ranked implementation indicators reported by those who participated in rounds 1–3 of the survey. From these, the expert group created a recommended minimum data set of implementation determinants (n = 10) and implementation outcomes (n = 5) and reconciled differences in commonly used terms and definitions. Conclusions Researchers are confronted with myriad options when conducting implementation and scale-up evaluations. Thus, we identified and prioritized a list of frameworks and a minimum data set of indicators that have potential to improve the quality and consistency of evaluating implementation and scale-up of PA and nutrition interventions. Advancing our science is predicated upon increased efforts to develop a common ‘language’ and adaptable measures and tools.


2019 ◽  
Vol 8 (11) ◽  
pp. 1779 ◽  
Author(s):  
Homs-Romero ◽  
Romero-Collado

The purpose of this study was to develop a minimum data set (MDS) registry for the prevention, diagnosis and treatment of chronic venous insufficiency (CVI) of the lower limbs. We designed the instrument in two phases, comprising a literature review and an e-Delphi study to validate the content. We obtained a total of 39 documents that we used to develop a registry with 125 items grouped in 7 categories, as follows: Patient examination, venous disease assessment methods, diagnostic tests to confirm the disease, ulcer assessment, treatments to manage the disease at all its stages, patient quality of life, and patient health education. The instrument content was validated by 25 experts, 88% of whom were primary healthcare and hospital nurses and 84% had more than 10 years’ experience in wound care. Using a two-round Delphi approach, we reduced the number of items in the MDS-CVI to 106 items. The categories remained unchanged. We developed an MDS for CVI with seven categories to assist healthcare professionals in the prevention, early detection, and treatment history of CVI. This tool will allow the creation of a registry in the primary care setting to monitor the venous health state of the population.


2017 ◽  
Vol 37 (4) ◽  
pp. 428-439 ◽  
Author(s):  
Christopher J. Davey ◽  
Sarah V. Slade ◽  
Darren Shickle

2013 ◽  
Vol 99 (4) ◽  
pp. 40-45 ◽  
Author(s):  
Aaron Young ◽  
Philip Davignon ◽  
Margaret B. Hansen ◽  
Mark A. Eggen

ABSTRACT Recent media coverage has focused on the supply of physicians in the United States, especially with the impact of a growing physician shortage and the Affordable Care Act. State medical boards and other entities maintain data on physician licensure and discipline, as well as some biographical data describing their physician populations. However, there are gaps of workforce information in these sources. The Federation of State Medical Boards' (FSMB) Census of Licensed Physicians and the AMA Masterfile, for example, offer valuable information, but they provide a limited picture of the physician workforce. Furthermore, they are unable to shed light on some of the nuances in physician availability, such as how much time physicians spend providing direct patient care. In response to these gaps, policymakers and regulators have in recent years discussed the creation of a physician minimum data set (MDS), which would be gathered periodically and would provide key physician workforce information. While proponents of an MDS believe it would provide benefits to a variety of stakeholders, an effort has not been attempted to determine whether state medical boards think it is important to collect physician workforce data and if they currently collect workforce information from licensed physicians. To learn more, the FSMB sent surveys to the executive directors at state medical boards to determine their perceptions of collecting workforce data and current practices regarding their collection of such data. The purpose of this article is to convey results from this effort. Survey findings indicate that the vast majority of boards view physician workforce information as valuable in the determination of health care needs within their state, and that various boards are already collecting some data elements. Analysis of the data confirms the potential benefits of a physician minimum data set (MDS) and why state medical boards are in a unique position to collect MDS information from physicians.


2018 ◽  
Vol 27 (4) ◽  
pp. 191-198
Author(s):  
Karen Van den Bussche ◽  
Sofie Verhaeghe ◽  
Ann Van Hecke ◽  
Dimitri Beeckman

Author(s):  
Cassandra L. Hua ◽  
Kali S. Thomas ◽  
Jennifer Bunker ◽  
Pedro L. Gozalo ◽  
Joan M. Teno

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