A role for MCDA to navigate the trade-offs in the National Institute for Health and Care Excellence’s public health recommendations

Reddy, Brian P.; Walters, Stephen J; Duenas, Alejandra; Thokala, Praveen; Kelly, Michael P.

doi:10.1016/j.orhc.2019.02.001

Cited by 7 publications

(6 citation statements)

References 51 publications

(43 reference statements)

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“…Each patient is likely to have different weighted preferences for each of these domains, so these components should be explored with all patients within a shared decision‐making process to select the optimal treatment. This could be further evaluated using decision analytic approaches such as multi‐criteria decision‐making [20].…”

Section: Discussionmentioning

confidence: 99%

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Survey to define informational needs of patients undergoing surgery for Crohn’s anal fistula

et al. 2020

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Aim There are many surgical treatments used in Crohn's anal fistula, although none is perfect. Decisions about surgery in this condition may be preference sensitive. The aim of this study was to identify what information patients would like in order to make treatment decisions and to explore experiences of making decisions in this setting. Method A survey was designed based upon qualitative interviews and input from patients and clinicians. It included a long list of informational items to be ranked on a scale of importance, a control preference scale, the decision regret scale, and items exploring preferred information formats. This was distributed through 10 English hospitals to patients with recent surgical treatment for Crohn's anal fistula. Results were analysed using principal component analysis, to identify key informational needs, and other appropriate descriptive statistics. Results In total 92 questionnaires were returned (response rate 41.8%); 48 (52.5%) respondents were women and 54 (58.7%) had undergone seton insertion. Principal component analysis identified three information needs: wound and aftercare, effect on perianal symptoms, severity of surgery. Decision‐making preferences showed a desire to participate in decision‐making. Median decision regret score was 25/100 (i.e., low). The preferred format for sharing information to support decision‐making was from the surgeon, 80/92 (87.0%), and from a booklet, 58/92 (63.0%). Conclusion Key informational needs in this condition are wound and after care, effect on perianal symptoms, and severity of surgery. Patients would like this information to help engage in shared decision‐making.

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Section: Discussionmentioning

confidence: 99%

“…This study has investigated the informational preferences and This could be further evaluated using decision analytic approaches such as multi-criteria decision-making [20].…”

Section: Discussionmentioning

confidence: 99%

Survey to define informational needs of patients undergoing surgery for Crohn’s anal fistula

et al. 2020

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“…MCDA is a set of methods used to solve complex problems with multiple standards and objectives. A large number of previous studies have shown MCDA was widely used in many fields, such as management and engineering [ 13 , 14 ], economics [ 15 ], environment [ 16 ], political economy [ 17 ], and social system [ 18 ]. The application in the medical and health field has been booming since the 2000s [ 19 ].…”

Section: Literature Reviewmentioning

confidence: 99%

An integrated model for evaluation of maternal health care in China

Zhao

Chen

et al. 2021

PLoS ONE

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In recent years, in the context of China’s continuous medical and health reforms, the health status of Chinese women and children has been significantly improved through the continuous efforts of staff at all levels of maternal and child health care institutions. Many indicators in maternal health care have improved significantly, but the speed and magnitude of changes have varied. The purpose of this study is to evaluate the dynamic changes in China’s maternal health status from 2004 to 2018, in order to determine whether China’s medical and health reform measures in recent years have improved maternal health. A total of 6 evaluation indicators from the data of China Health Statistics Yearbook 2019 were selected. Then, based on the multi-criteria decision-making (MCDA) methodology, the entropy weighted technique for order preference by similarity to an ideal solution (TOPSIS), entropy weighted rank-sum ratio (RSR) method and the fuzzy comprehensive evaluation were employed in this study. In addition, sensitivity analysis was engaged to validate the stability and accuracy of the achieved results. The study results shows the ranking values of various methods were not exactly the same, but the overall trend was consistent. Overall, the maternal health care in China improved from 2004 to 2018 year by year, of which the top four were ranked from 2015 to 2018, and relatively poor from 2004 to 2006. This means that the policies and measures implemented in China’s medical and health reform in the past few decades have effectively promoted China’s maternal health care, and this will also provide a theoretical basis for future decisions to promote maternal health care.

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“…Diaby et al (2013) have carried out a bibliometric analysis of articles on MCDA from 1960 to 2011 wherein they find healthcare systems encounter challenges related to rationality and transparency in decision making. Reddy et al, (2019) through MCDA showcase public health recommendations at the National Institute for Health and Care (NICE), UK.…”

Section: Strategicmentioning

confidence: 99%

A New Approach to Decision Prioritization – Case for Healthcare Decision-Makers

Singh¹,

Verma²,

Koul³

2020

ijoqm

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Decisions are guided by data and concerns (issues) that may recur as per the situation. While there is a growing literature on data-driven decision-making, the linkages of data to issues are not explicit, especially in the healthcare environment. Based on the established root cause analysis models, the attempt here is to develop an integrated framework for the visual, hierarchical and quantitative representation of the different causal relationships. A framework so designed demonstrates the interplay of data and issue(s). The issue(s) identified from the literature and actual issue(s) raised in the healthcare environment are exhibited as an Effect-Why diagram with probabilities analyzed using Markov chain in Lindo18 software. Last, of all, the network diagram (and its associated table ) show a comprehensive inter-relationships and provide details on the Effect-Why diagram for understanding decision-making. The Markov chain illustrates the issues that are expected to be seen in the long term. This framework shall be useful for any organization attempting the identification and resolution of root issues, in their journey towards excellence.

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A role for MCDA to navigate the trade-offs in the National Institute for Health and Care Excellence’s public health recommendations

Cited by 7 publications

References 51 publications

Survey to define informational needs of patients undergoing surgery for Crohn’s anal fistula

Survey to define informational needs of patients undergoing surgery for Crohn’s anal fistula

An integrated model for evaluation of maternal health care in China

A New Approach to Decision Prioritization – Case for Healthcare Decision-Makers

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