Leading together towards a stronger ‘us’: An experimental test of the effectiveness of the 5R Shared Leadership Program (5RS) in basketball teams

ObjectivesLeadership has been suggested to be a key factor in gaining a competitive advantage as a team, with shared leadership being a better predictor of team functioning than vertical leadership. Although the benefits of shared leadership are well-documented, evidence about how to implement a shared leadership structure remains sparse. This leaves coaches with three key challenges: (1) identifying the best leaders; (2) defining what roles those leaders should fulfill; and (3) developing their leadership skills. Solutions to these challenges have been proposed in the 5R Shared Leadership Program (5R^S) — a leadership development program that seeks to implement an effective structure of shared leadership within sports teams.DesignTo test the effectiveness of 5R^S program, we conducted an experimental-comparison group intervention in which eight national-level basketball teams (N = 96) completed a questionnaire at two points in time (i.e., pre- and posttest). The teams in the intervention condition completed the 5R^S program, in which we identified the leadership structure in their teams (through Shared Leadership Mapping), appointed the best leaders in their leadership role, and then developed their identity leadership skills.ResultsThe results revealed that the 5R^S program was successful in strengthening athlete leaders’ identity leadership skills, and as a result also team members’ identification with their team. Furthermore, in contrast to athletes in the comparison condition, athletes in the 5R^S condition were able to maintain their levels of intrinsic motivation and commitment to team goals, while also reporting improved well-being.ConclusionsThe present study provides encouraging evidence that, by implementing a structure of shared leadership and by promoting athlete leaders’ identity leadership skills, the 5R^S program is able to improve the team’s functioning and the well-being of its members.     

Leadership Development in UK Medical Training: Pedagogical Theory and Practice

Phenomenon: The central role of clinical leadership in achieving the vision of quality and productivity could be attained by investing in its development in postgraduate medical education. Approach: A critical review of selected literature is presented. Findings: The author identifies some of the main theoretical constructs related to leadership; the pedagogical underpinning of medical leadership programs; their learning objectives; and the mixture of methods, individual and collective, to achieve them. Insights: How to best develop leadership through medical education remains an open debate. Experiential learning, reflective practice, action learning, and mentoring could provide the foundations of leadership development. Application of the aforementioned should be cautious due to limitations of the concept of leadership as currently promoted and lack of robust evaluation methodologies.     

Risk communication in a patient decision aid for radiotherapy in breast cancer: How to deal with uncertainty?

Background and aimPatient decision aids for oncological treatment options, provide information on the effect on recurrence rates and/or survival benefit, and on side-effects and/or burden of different treatment options. However, often uncertainty exists around the probability estimates for recurrence/survival and side-effects which is too relevant to be ignored. Evidence is lacking on the best way to communicate these uncertainties. The aim of this study is to develop a method to incorporate uncertainties in a patient decision aid for breast cancer patients to support their decision on radiotherapy.MethodsFirstly, qualitative interviews were held with patients and health care professionals. Secondly, in the development phase, thinking aloud sessions were organized with four patients and 12 health care professionals, individual and group-wise.ResultsConsensus was reached on a pictograph illustrating the whole range of uncertainty for local recurrence risks, in combination with textual explanation that a more exact personalized risk would be given by their own physician. The pictograph consisted of 100 female icons in a 10 x 10 array. Icons with a stepwise gradient color indicated the uncertainty margin. The prevalence and severity of possible side-effects were explained using verbal labels.ConclusionsWe developed a novel way of visualizing uncertainties in recurrence rates in a patient decision aid. The effect of this way of communicating risk uncertainty is currently being tested in the BRASA study (NCT03375801).     

云南罗平医院PM调查的分析与对策

文章以云南罗平医院为研究对象,调查了65名一般员工和21名科主任级中层领导,使用PM量表对该医院的高层及中层领导行为进行评估,对情景因素与领导行为的内在联系进行探讨,并提出改进对策。目的是了解员工需求,促进人力资源合理配置,从而提高医院的管理水平。     

科室主任管理职能与基本素质探讨

人力资源在管理中发挥着重要作用，其中，科室主任作为医院人力资源的重要组成部分，在医院惯性运行和可持续发展中扮演着重要角色。因此，科室主任因其技术和管理双重职责所具备的管理职能、基本素质和领导艺术在日常工作中显得尤为关键。     

Commentary: At the Center of Decision Making in Mental Health Services and Interventions Research: Patients,Clinicians, or Relationships?

Wills and Holmes-Rovner (2006) highlight the fact that despite growing interest in the role of patient preferences and shared decision making with clinicians in the general health services research community, relatively little is known about the impact of these preferences and processes on actual decisions, service delivery engagement, or intervention outcomes in the mental health field. This commentary expands on three important points raised in Wills and Holmes-Rovner's article: (a) the need for more and better research on values assessment, (b) contextual factors in the decision-making process, and (c) the measurement of patient preferences regarding their level of involvement in decision making.     

Shared decision making in consultations for hypertension: Qualitative study in general practice

BackgroundHypertension is mainly managed in primary care. Shared decision making is widely recommended as an approach to treatment decision making. However, no studies have investigated; in detail, what happens during primary care consultations for hypertension.AimTo understand patients’ and clinicians’ experience of shared decision making for hypertension in primary care, in order to propose how it might be better supported.DesignLongitudinal qualitative study.SettingFive general practices in south‐west England.MethodInterviews with a purposive sample of patients with hypertension, and with the health‐care practitioners they consulted, along with observations of clinical consultations, for up to 6 appointments. Interviews and consultations were audio‐recorded and observational field notes taken. Data were analysed thematically.ResultsForty‐six interviews and 18 consultations were observed, with 11 patients and nine health‐care practitioners (five GPs, one pharmacist and three nurses). Little shared decision making was described by participants or observed. Often patients’ understanding of their hypertension was limited, and they were not aware there were treatment choices. Consultations provided few opportunities for patients and clinicians to reach a shared understanding of their treatment choices. Opportunities for patients to engage in choices were limited by structured consultations and the distribution of decisions across consultations.ConclusionFor shared decision making to be better supported, consultations need to provide opportunities for patients to learn about their condition, to understand that there are treatment choices, and to discuss these choices with clinicians.Patient or Public ContributionA patient group contributed to the design of this study.     

Can Machine Learning Methods Produce Accurate and Easy-to-Use Preoperative Prediction Models of One-Year Improvements in Pain and Functioning After Knee Arthroplasty?

BackgroundApproximately 15%-20% of total knee arthroplasty (TKA) patients do not experience clinically meaningful improvements. We sought to compare the accuracy and parsimony of several machine learning strategies for developing predictive models of failing to experience minimal clinically important differences in patient-reported outcome measures (PROMs) 1 year after TKA.MethodsPatients (N = 587) in 3 large Veteran Health Administration facilities completed PROMs before and 1 year after TKA (92% follow-up). Preoperative PROMs and electronic health record data were used to develop and validate models to predict failing to experience at least a minimal clinically important difference in Knee Injury and Osteoarthritis Outcome Score (KOOS) Total, KOOS JR, and KOOS subscales (Pain, Symptoms, Activities of Daily Living, Quality of Life, and recreation). Several machine learning strategies were used for model development. Ten-fold cross-validation and bootstrapping were used to produce measures of overall accuracy (C-statistic, Brier Score). The sensitivity and specificity of various predicted probability cut-points were examined.ResultsThe most accurate models produced were for the Activities of Daily Living, Pain, Symptoms, and Quality of Life subscales of the KOOS (C-statistics 0.76, 0.72, 0.72, and 0.71, respectively). Strategies varied substantially in terms of the numbers of inputs required to achieve similar accuracy, with none being superior for all outcomes.ConclusionModels produced in this project provide estimates of patient-specific improvements in major outcomes 1 year after TKA. Integrating these models into clinical decision support, informed consent and shared decision making could improve patient selection, education, and satisfaction.Level of EvidenceLevel III, diagnostic study.