Medical Decision Making

Top Research Topics at Medical Decision Making?

The objective of Medical Decision Making is to combine knowledge in the areas of Statistics, Actuarial science, Health care, Family medicine and Econometrics. The majority of Statistics studies are focused on the issues of Receiver operating characteristic. The journal connects the study in Actuarial science with the closely related area of Cost–benefit analysis.

The Family medicine study featured in the journal draws connections with the study of MEDLINE.

• Statistics (11.79%)
• Actuarial science (10.72%)
• Health care (9.68%)

What are the most cited papers published in the journal?

• Markov models in medical decision making: a practical guide. (2046 citations)
• Decision curve analysis: a novel method for evaluating prediction models. (1820 citations)
• Validation of a Decisional Conflict Scale (1589 citations)

Research areas of the most cited articles at Medical Decision Making:

The most cited papers explore disciplines such as Statistics, MEDLINE, Actuarial science, Health care and Management science. The works on Statistics tackled in the most cited papers bring together disciplines like EQ-5D and Econometrics. Aside from discussions in MEDLINE, the journal articles also deal with the subject of Family medicine which intersects with Physical therapy disciplines.

What topics the last edition of the journal is best known for?

• Internal medicine
• Statistics
• Disease

The previous edition focused in particular on these issues:

Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), 2019-20 coronavirus outbreak, Decision aids and Intensive care medicine are the subjects of interest in the journal. Coronavirus disease 2019 (COVID-19) research discussed connects with the study of Psychological intervention. The study on Psychological intervention presented in it intersects with subjects under the field of Control (management).

The work on 2019-20 coronavirus outbreak addressed in it expands to the thematically related Environmental health. The research on Decision aids featured in it combines topics in other fields like Nursing, Medical education and Process management. Research on Pandemic addressed in Medical Decision Making frequently intersections with the field of Medical emergency.

The most cited articles from the last journal are:

• The Use and Misuse of Mathematical Modeling for Infectious Disease Policymaking: Lessons for the COVID-19 Pandemic. (14 citations)
• Current Best Practice for Presenting Probabilities in Patient Decision Aids: Fundamental Principles (7 citations)
• User Involvement in the Design and Development of Patient Decision Aids and Other Personal Health Tools: A Systematic Review: (6 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Medical Decision Making (based on the number of publications) are:

• Stephen G. Pauker (49 papers) absent at the last edition,
• Milton C. Weinstein (43 papers) absent at the last edition,
• Angela Fagerlin (40 papers) published 8 papers at the last edition, 7 more than at the previous edition,
• Dennis J. Mazur (35 papers) absent at the last edition,
• Peter A. Ubel (34 papers) published 1 paper at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Medical Decision Making (based on the number of publications) are:

• Harvard University (165 papers) published 15 papers at the last edition, 7 more than at the previous edition,
• Stanford University (93 papers) published 9 papers at the last edition, 2 more than at the previous edition,
• University of Michigan (86 papers) published 7 papers at the last edition, 1 more than at the previous edition,
• Erasmus University Rotterdam (78 papers) published 3 papers at the last edition, 2 less than at the previous edition,
• University of Toronto (77 papers) published 6 papers at the last edition, 1 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 20.26% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 43.44% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.84% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.21% of all publications and 29.51% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Opportunities in Medical Decision Making Field

Career Opportunities in Medical Decision Making Field

Depending on the role, qualifications range from a bachelor's degree to a master's degree or doctorate in statistics, health sciences, or a closely related field. In many cases, having a background in medical sciences or treatment can be beneficial. For those looking for specific programs to jumpstart their careers in this field, lpn programs in New Mexico can be a good starting point.

Beyond formal education, potential candidates should also have analytical thinking skills, problem-solving abilities, and excellent communication skills, since they will often be involved in interdisciplinary discussions.

Professionals in the Medical Decision Making field can work in universities, research institutions, hospitals, insurance companies, government health departments, and international health organizations like the World Health Organization (WHO). Their skills and expertise can significantly contribute to improving health outcomes and making the health sector more effective and efficient.