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Record W4387742491 · doi:10.3389/fresc.2023.1270116

Editorial: Leadership in teamwork: enhancing rehabilitation medicine best practice

2023· editorial· en· W4387742491 on OpenAlexaboutno aff
Zaliha Binti Omar, Hitoshi Kagaya, Christine Mac Donell

Bibliographic record

VenueFrontiers in Rehabilitation Sciences · 2023
Typeeditorial
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsnot available
Fundersnot available
KeywordsTeamworkRehabilitationMedicineNursingMedical educationPhysical therapyManagement

Abstract

fetched live from OpenAlex

The primary aim of this research topic was to bring together a collection of papers that focused on leadership and teamwork in Rehabilitation Medicine to shed light on approaches and key factors affecting outcomes of person-centered care and the impact on rehabilitative care in general. Our main goals were 1) Identification of effective leadership models in the teamwork of person-centered care that could bring forth innovative practices in rehabilitation, 2) To advocate for real world interest in providing studies and documents to develop a critical mass of data to enhance person-centered care, and, 3) To promote evidence-based information and education on effective leadership in person-centered teamwork rehabilitation practice.We welcomed the submission of manuscripts that included, but not limited to, the following topics:• Historical perspectives of leadership in rehabilitation practice We attracted submissions on a diverse range of relevant subjects from three continents; two from Asia, two from Europe and one from North America. Taslim Uddin from Bangladesh submitted a short communication that highlights the challenges for team leadership in developing countries. These include curriculum course content, monitoring systems, infrastructure development, funding, attitude, education level of people with disabilities, ethics and disasters. From China, Ping Zhou brought out an emerging rehabilitation team member that we cannot do without currently, i.e., a rehabilitation engineer. From Germany, the submission from Thorsten Meyer et. al, titled "Cooperative leadership as a condition for patient reported rehabilitation success", presents qualitative evidence for the importance of interdisciplinary teamwork and collaborative leadership. From France, the pilot study from R. Lenoir dit Caron et. al shows that team-based exercise programs proved superior to personalized ones. Finally, from Canada, Gillian King et. al shared their experience innovating a transition strategy at a pediatric rehabilitation hospital. The key elements identified in team members serve as useful lessons on team dynamics.These submissions are so diverse in their content, ranging from conventional and emerging team memberships, cohesiveness, and shared responsibilities to a person-centered exercise program. The relative scarcity of literature and submissions on the core principles of rehabilitation practice that this research topic called for implies rehabilitation has only just begun to nurture the current and future rehabilitation professionals in the field. Person-centered care, teamwork and leadership in rehabilitation are dynamically intertwined. Each of these unique components require consistent education of rehabilitation health care providers, data driven action and evidence-based practice. Rehabilitation, as conventionally practiced, is at a critical juncture requiring new skills, knowledge, data, and evidence to meet the exciting challenge of progression in the specialty.Person-centered care can only be realized by consciously recognizing the person as the expert in their lives and incorporating that critical component in every step of the way throughout all aspects of rehabilitation. Persevering in person-centered care calls for a hard, soft, and critical systems thinking approach (1) that is designed and practiced to the point of it being second nature in rehabilitation practice. We need to deepen our actions through the hard systems in established frameworks including the United Nations' 2030 Agenda for Sustainable Development (2), the WHO Rehabilitation 2030: A Call for Action (3), the Cochrane definition of rehabilitation for research purposes (4), rehabilitation classifications that continue to grow, especially the International Classification of Functioning, Disability, and Health (5), and realization of the human functioning concept (6). Soft systems thinking approach can take care of multistakeholder real-world needs that are so often disregarded. Complex societal situations demand critical systems thinking approach to solve the most trivial daily issues encountered in rehabilitation practice.Inter, multi and transdisciplinary teamwork is key to a cohesive effort in processing personcentered rehabilitative care. The expanse of knowledge and skills in the spectrum of evidencebased practice for health, wellness and functionality of individuals requires a team effort; woe to the practitioner who practices with a solo mindedness.The art of practicing leadership in daily rehabilitation practice requires excellent communication skills, strategic planning, awareness of social determinants of health of persons receiving rehabilitation services plus cultural mores, and the inevitable environmental changes. A leader who is selfless opens doors and grants opportunities for rehabilitation team members to grow individually as well as a robust team. Effective and efficient person-centered care and teamwork that are perpetually practiced can propagate excellent leadership.Turning data into action may seem a while away, but person-centered care and teamwork in rehabilitation are here to stay. Our creative innovative ways will be testimony to our adherence to these core principles in our specialty. Along with good leadership, they will remain important determinants of Rehabilitation Medicine best practice that will benefit the one in three people in the world who needs rehabilitation in the course of their disease or injury (7).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.067
metaresearch head score (Gemma)0.606
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.538
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0670.606
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.009
Science and technology studies0.0010.007
Scholarly communication0.0000.002
Open science0.0020.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.128
GPT teacher head0.467
Teacher spread0.338 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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