Health Policy and Technology

Top Research Topics at Health policy and technology?

Health policy and technology was organized to reinforce research efforts on Health care, Public relations, Knowledge management, Health policy and Government. In it, Nursing, Marketing and Family medicine are investigated in conjunction with one another to address concerns in Health care research. Most of the Nursing studies addressed also intersect with Quality (business).

The studies tackled, which mainly focus on Public relations, apply to eHealth as well. Health policy and technology holds forums on Knowledge management that merges themes from other disciplines such as Information system and Process (engineering). Health policy and technology explores issues in Government which can be linked to other research areas like Economic growth and Pandemic.

The concepts on Pandemic presented in it can also apply to other research fields, including Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and 2019-20 coronavirus outbreak.

• Health care (34.62%)
• Public relations (11.99%)
• Knowledge management (11.99%)

What are the most cited papers published in the journal?

• UK Biobank: Current status and what it means for epidemiology (246 citations)
• The spread of medical fake news in social media – The pilot quantitative study (115 citations)
• The application of technology acceptance and diffusion of innovation models in healthcare informatics (68 citations)

Research areas of the most cited articles at Health policy and technology:

The most cited articles are organized to reinforce research efforts on Health care, Knowledge management, Public relations, Government and Medical record. The studies on Health care discussed at the most cited publications can also contribute to research in the domains of Baseline (configuration management) and Risk analysis (engineering). While the published papers focused on Government, they were also able to explore topics like Economic growth, Pandemic and Public health, Health policy.

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

• Law
• Health care
• Internal medicine

The previous edition focused in particular on these issues:

The journal primarily focuses on research topics in Coronavirus disease 2019 (COVID-19), Health care, 2019-20 coronavirus outbreak, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and Pandemic. The Coronavirus disease 2019 (COVID-19) works featured in the journal incorporate elements from Government, Public health, Social media, Digital divide and Internet privacy. While the journal focused on Health care, it was also able to explore topics like Public interest, Enforcement and Knowledge management.

Public interest research presented in Health policy and technology encompasses a variety of subjects, including Nursing and Quality (business). Issues in Pandemic were discussed, taking into consideration concepts from other disciplines like Information system and Environmental health. The research on Digital health tackled can also make contributions to studies in the areas of Health technology and Public relations.

The most cited articles from the last journal are:

• COVID-19 misinformation: Accuracy of articles about coronavirus prevention mostly shared on social media. (9 citations)
• Leveraging GIS and spatial analysis for informed decision-making in COVID-19 pandemic. (6 citations)
• Containing the impact of COVID-19: Review of Ghana's response approach. (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 Health policy and technology (based on the number of publications) are:

• Donald R.J. Singer (17 papers) published 3 papers at the last edition, 1 less than at the previous edition,
• W. Ken Redekop (12 papers) published 3 papers at the last edition, 1 more than at the previous edition,
• Francesco Paolucci (10 papers) published 1 paper at the last edition, 5 less than at the previous edition,
• Joseph Tan (8 papers) published 1 paper at the last edition, 2 less than at the previous edition,
• Hui-Peng Liew (8 papers) absent 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 Health policy and technology (based on the number of publications) are:

• Hacettepe University (16 papers) published 2 papers at the last edition the same number as at the previous edition,
• Erasmus University Rotterdam (16 papers) published 2 papers at the last edition, 2 less than at the previous edition,
• University of Bologna (11 papers) published 1 paper at the last edition, 6 less than at the previous edition,
• McMaster University (11 papers) published 1 paper at the last edition, 3 less than at the previous edition,
• Karolinska Institutet (9 papers) absent at the last 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, 14.46% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.86% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.04% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.86% of all publications and 73.24% 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 Health Policy and Technology

In an interconnected world, career opportunities in the field of health policy and technology continue to grow exponentially. There is an increasing demand for professionals capable of navigating complex governmental systems, understanding advanced technology, and promoting public health. One of the many sought-after professions in this field is Marriage and Family Therapy. This profession requires a unique combination of skills in both health policy and technology, as well as a deep understanding of family dynamics.

As a Marriage and Family Therapist, you would utilise your skills to help families navigate complicated health policies, develop strategies for managing health conditions within a family setting, and implement technologies to assist in treatment plans. Therapists also play a key role in advocating for beneficial health policies and technologies on behalf of their clients.

While recommended educational paths can vary greatly depending on the specific career within health policy and technology, most of these professions require at least a Bachelor's degree. For instance, becoming a Marriage and Family Therapist requires advanced studies in areas such as counseling or psychology. The specific educational requirements can vary by state. For example, the Marriage counseling education requirements in Alaska may differ from other regions.

Regardless of the specific profession you are interested in, careers in health policy and technology combine a passion for public health with an emphasis on leveraging technology to improve patient outcomes. These careers require a unique blend of technical competency, understanding of health policy, and interpersonal skills.