Mid-term results and factors affecting outcome of a metal-backed unicompartmental knee design: a case series

<p>Abstract</p> <p>Background</p> <p>Controversies exist regarding the indications for unicompartmental knee arthroplasty. The objective of this study is to report the mid-term results and examine predictors of failure in a metal-backed unicompartmental knee arthroplasty design.</p> <p>Methods</p> <p>At a mean follow-up of 60 months, 80 medial unicompartmental knee arthroplasties (68 patients) were evaluated. Implant survivorship was analyzed using Kaplan-Meier method. The Knee Society objective and functional scores and radiographic characteristics were compared before surgery and at final follow-up. A Cox proportional hazard model was used to examine the association of patient's age, gender, obesity (body mass index > 30 kg/m²), diagnosis, Knee Society scores and patella arthrosis with failure.</p> <p>Results</p> <p>There were 9 failures during the follow up. The mean Knee Society objective and functional scores were respectively 49 and 48 points preoperatively and 95 and 92 points postoperatively. The survival rate was 92% at 5 years and 84% at 10 years. The mean age was younger in the failure group than the non-failure group (p < 0.01). However, none of the factors assessed was independently associated with failure based on the results from the Cox proportional hazard model.</p> <p>Conclusion</p> <p>Gender, pre-operative diagnosis, preoperative objective and functional scores and patellar osteophytes were not independent predictors of failure of unicompartmental knee implants, although high body mass index trended toward significance. The findings suggest that the standard criteria for UKA may be expanded without compromising the outcomes, although caution may be warranted in patients with very high body mass index pending additional data to confirm our results.</p> <p><b>Level of Evidence</b>: IV</p

Transparency in health economic modeling : options, issues and potential solutions

Economic models are increasingly being used by health economists to assess the value of health technologies and inform healthcare decision making. However, most published economic models represent a kind of black box, with known inputs and outputs but undisclosed internal calculations and assumptions. This lack of transparency makes the evaluation of the model results challenging, complicates comparisons between models, and limits the reproducibility of the models. Here, we aim to provide an overview of the possible steps that could be undertaken to make economic models more transparent and encourage model developers to share more detailed calculations and assumptions with their peers. Scenarios with different levels of transparency (i.e., how much information is disclosed) and reach of transparency (i.e., who has access to the disclosed information) are discussed, and five key concerns (copyrights, model misuse, confidential data, software, and time/resources) pertaining to model transparency are presented, along with possible solutions. While a shift toward open-source models is underway in health economics, as has happened before in other research fields, the challenges ahead should not be underestimated. Importantly, there is a pressing need to find an acceptable trade-off between the added value of model transparency and the time and resources needed to achieve such transparency. To this end, it will be crucial to set incentives at different stakeholder levels. Despite the many challenges, the many benefits of publicly sharing economic models make increased transparency a goal worth pursuing

Longitudinal study of child immunization determinants in China

This paper exploits longitudinal data and methods to study the determinants of child immunization in 1990s China. Many countries such as China are experiencing rapid economic transitions characterized by declining public health expenditures, privatizing health-care sectors, increased inequality and high income growth. It is still poorly understood how such changes affect utilization of preventive health care. Data from three waves of the China Health and Nutrition Survey were used to examine the immunization effects of child, household, and community health facility characteristics, as well as changes of such effects over time. Results indicate that gender and wealth differentials in immunization increased during China's transition, though these effects were small. The most important determinants were service price and maternal education. Wealth effects were minimal, indicating that the long-run effect of economic transition on immunization rates may depend crucially on the extent to which more rapid economic growth leads to increased educational investments. Methodologically, the paper finds substantial bias from standard cross-sectional models in contrast to panel data approaches, adding to the case for expanded collection of longitudinal health data in developing countries.Immunization China Economic transition Longitudinal study

The challenges and opportunities in using real-world data to drive advances in healthcare in East Asia: expert panel recommendations

10.1080/03007995.2022.2096354Current Medical Research and Opinion3891543-155