The restorative role of apology in resolving medical disputes: Lessons from Chinese legal culture

This article is the first exploration of the Chinese notion of apology from a comparative legal perspective. By reviewing the significance of apology in the context of Chinese culture, the article presents a three-dimensional structure of apology that, in contrast to the understanding the research community now has, defines acknowledgement of fault, admission of responsibility, and offer of reparation as three essential elements of an apology. It is the combination of these three elements that enables apology to serve as a form of reparation. The article further places the three-dimensional apology in the context of the Chinese concept of "the relations of humanity," arguing that an apology accompanying admission of fault and responsibility may help to restore the harmony of relations and, by so doing, resolve medical disputes positively.

Evaluation of the Chinese version of the disability of the arm, shoulder and hand (DASH-HKPWH): cross-cultural adaptation process, internal consistency and reliability study

Abstract
The Disability of the Arm, Shoulder and Hand (DASH) was translated into Chinese by a physiotherapy team of the Prince of Wales Hospital, Hong Kong (DASH-HKPWH).

Objectives
This study evaluated the cross-cultural adaptation process, face validity, internal consistency and reliability of the DASH-HKPWH.

Method
Language officers and medical professionals from different fields were invited to translate and evaluate the face validity of the DASH-HKPWH. 88 patients were recruited to complete two DASH questionnaires on two occasions 1-2 weeks apart.

Results
Some adjustments were made to the translations based on the cultural and linguistic practice in Hong Kong. The face validity was satisfactory with a mean endorsement score of 3.2. The difference between the mean of DASH scores was not significant (t = −0.35, p = 0.73). The ICC (1,1) and Cronbach's alpha for the 30-item Disability/Symptom of the DASH-HKPWH was 0.77 and 0.94, respectively.

Conclusion
The translation was valid and reliable and acceptably equivalent to the original version. The questionnaire is suitable for measuring changes experienced by patients with any upper extremity disorders.

Folate fortification : a case study of public health policy-making

Introducing Evidence Based Health Policy: Problems and Possibilities, Section 1: What is the Problem?, 1: Competing Rationalities: Evidence based Health Policy, 2: Beyond Two Communities, Section 2: What does Evidence Mean?, 3: Evidence based Medicine - The Medical Profession and Health Policy, 4: Mind The Gap: Assessing the Quality of Evidence for Public Health Problems, 5: Health Policy and Normative Analysis: Ethics, Evidence and Politics, 6: What is New in Health Information? Evidence for Health Consumers and Policy Making, 7: From Evidence based Medicine to Evidence based Public Health, Section 3: Policy Case Studies, 8: The Viagra Affair: Evidence as the Terrain for Competing Partners, 9: Folate Fortification: A Case Study of Public Health Policy-Making in a Food Regulation Setting, 10: The Supply and Safety of Blood and Blood Products - Evidence, Risk and Policy, 11: The Development of Nurse Practitioner Policy, 12: Creating Healthy Public Policy for Oral Health: How was the Evidence Used?, 13: Regulation of Traditional Chinese Medicine in Victoria, 14: The Victorian Primary Health Care Reforms: A Case Study of Evidence-based Policy Making, 15: Evidence-based Practice in the Australian Drug Policy Community, 16: Challenging the Evidence - Women's Health Policy in Australia, 17: Evidence and Aboriginal Health Policy, 18: The Limits to Technical Rationality in the Health Inequalities Policy Process, 19: Evidence-based policy: A Technocratic Wish in a Political World, Section 4: Is the transfer of evidence into policy possible?, 20: The Community Model of Research Transfer, 21: Getting Research Transfer into Policy and Practice in Maternity Care, 22: Improving the Research and Policy Partnership: An Agenda for Research Transfer and Governance, 23: Framing and Taming 'Wicked' Problems

Data clustering using side information dependent Chinese restaurant processes

Side information, or auxiliary information associated with documents or image content, provides hints for clustering. We propose a new model, side information dependent Chinese restaurant process, which exploits side information in a Bayesian nonparametric model to improve data clustering. We introduce side information into the framework of distance dependent Chinese restaurant process using a robust decay function to handle noisy side information. The threshold parameter of the decay function is updated automatically in the Gibbs sampling process. A fast inference algorithm is proposed. We evaluate our approach on four datasets: Cora, 20 Newsgroups, NUS-WIDE and one medical dataset. Types of side information explored in this paper include citations, authors, tags, keywords and auxiliary clinical information. The comparison with the state-of-the-art approaches based on standard performance measures (NMI, F1) clearly shows the superiority of our approach.

Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records

Electronic Medical Record (EMR) has established itself as a valuable resource for large scale analysis of health data. A hospital EMR dataset typically consists of medical records of hospitalized patients. A medical record contains diagnostic information (diagnosis codes), procedures performed (procedure codes) and admission details. Traditional topic models, such as latent Dirichlet allocation (LDA) and hierarchical Dirichlet process (HDP), can be employed to discover disease topics from EMR data by treating patients as documents and diagnosis codes as words. This topic modeling helps to understand the constitution of patient diseases and offers a tool for better planning of treatment. In this paper, we propose a novel and flexible hierarchical Bayesian nonparametric model, the word distance dependent Chinese restaurant franchise (wddCRF), which incorporates word-to-word distances to discover semantically-coherent disease topics. We are motivated by the fact that diagnosis codes are connected in the form of ICD-10 tree structure which presents semantic relationships between codes. We exploit a decay function to incorporate distances between words at the bottom level of wddCRF. Efficient inference is derived for the wddCRF by using MCMC technique. Furthermore, since procedure codes are often correlated with diagnosis codes, we develop the correspondence wddCRF (Corr-wddCRF) to explore conditional relationships of procedure codes for a given disease pattern. Efficient collapsed Gibbs sampling is derived for the Corr-wddCRF. We evaluate the proposed models on two real-world medical datasets - PolyVascular disease and Acute Myocardial Infarction disease. We demonstrate that the Corr-wddCRF model discovers more coherent topics than the Corr-HDP. We also use disease topic proportions as new features and show that using features from the Corr-wddCRF outperforms the baselines on 14-days readmission prediction. Beside these, the prediction for procedure codes based on the Corr-wddCRF also shows considerable accuracy.

An analysis on the utilisation of health information technology to support clinical operation of chinese medicine

Chinese Medicine (CM) has become increasingly demanding globally. Recent World Health Organisation traditional and complementary medicine strategy of integrating CM to Western Medicine (WM) indicates that it is crucial that CM developments have strong literature, scientific, and evidence-based medical approval and support. To achieve this, there is a need to form a synthesis foundation or platform for future studies. This chapter serves to discover this synthesis that is suitable for CM by discussing the basics of inquiring and Knowledge Management (KM) systems. It suggests that CM should follow a combination of Hegelian and Kantian inquiring systems with the support of Singerian and Leibnizian inquiring systems and KM features. This proposed synthesis is one of the first, if not the first study to apply Churchman's inquiring systems into the context of CM and differentiate them from WM.