Recently, we validated a simple method for estimating peritoneal dialysis (PD) peritonitis rate. Despite good agreement between estimates and gold-standard measurements in two large dialysis registries, the International Society of Peritoneal Dialysis (ISPD) was hesitant to recommend adoption of the estimating equation. Their perception is that inaccuracies, as small as they are, might still be detrimental to clinical decision-making. In this study, we apply new analyses to the original validation data sets. We quantify agreement using standards from the International Organization for Standardization (ISO). We also identify a subset of centres with poorest performance of the estimating equation and qualitatively assess the potential for compromised clinical decision-making associated with its use. Inter-assay % coefficient of variation between estimates and measurements was 4.2% in the Australia and New Zealand Dialysis and Transplant Registry and 4.6% in Le Registre de Dialyse Péritonéale de Langue Française, easily meeting ISO requirements. Mandel's values and Grubb's tests confirmed more outlying estimates compared to the measurements, while Mandel's values and Cochran's tests showed that identical precision by the two methods. Misclassification of centres as being above versus below the ISPD standard of 0.4 episodes/patient-year occurred only with rates close to the threshold, affecting approximately 3% of patient-years. In the 26 (out of 268) centres with poorest performance of the estimating equation, examination of the time series of their annual PD peritonitis rate estimates/measurements showed that using estimates would not detrimental to clinical decision-making. In conclusion, the estimating equation is sufficiently accurate for routine clinical use.
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http://dx.doi.org/10.1177/08968608231154156 | DOI Listing |
PLoS One
January 2025
Centre for Intervention Science and Maternal Child Health (CISMAC), Centre for International Health, University of Bergen, Bergen, Norway.
Background: Timely initiation of and exclusive breastfeeding have been recommended as key interventions to enable countries to attain the sustainable development target of reducing neonatal mortality to no more than 12 deaths per 1000 live births and to reduce mortality of children under 5 years to no more than 25 deaths per 1000 live births.
Methods: We conducted a cluster randomized controlled trial with the main objective to assess the effect of an integrated package consisting of: peer counseling, mobile phone messages, and mama kits on promoting health facility births between January 2018 and February 2019, in Lira district, Northern Uganda. In this article, we assessed the effect of the intervention on our two secondary objectives: timely initiation of and exclusivity of breastfeeding.
Stat Med
February 2025
Department of Biomedical Statistics, Graduate School of Medicine, Osaka University, Osaka, Japan.
In estimating the average treatment effect in observational studies, the influence of confounders should be appropriately addressed. To this end, the propensity score is widely used. If the propensity scores are known for all the subjects, bias due to confounders can be adjusted by using the inverse probability weighting (IPW) by the propensity score.
View Article and Find Full Text PDFJMIR Mhealth Uhealth
January 2025
Xiangya School of Nursing, Central South University, Changsha, China.
Background: Among people with abdominal obesity, women are more likely to develop diabetes than men. Mobile health (mHealth)-based technologies provide the flexibility and resource-saving opportunities to improve lifestyles in an individualized way. However, mHealth-based diabetes prevention programs tailored for busy mothers with abdominal obesity have not been reported yet.
View Article and Find Full Text PDFStat Med
February 2025
Department of Statistics and Data Science, National University of Singapore, Singapore, Singapore.
The additive hazard model, which focuses on risk differences rather than risk ratios, has been widely applied in practice. In this paper, we consider an additive hazard model with varying coefficients to analyze recurrent events data. The model allows for both varying and constant coefficients.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
San Francisco Department of Public Health, San Francisco, California.
Importance: The rise of high-potency opioids such as fentanyl makes buprenorphine initiation challenging due to the risks of precipitated withdrawal, prompting the exploration of strategies, such as low-dose initiation (LDI) of buprenorphine. However, no comparative studies on LDI outcomes exist.
Objective: To evaluate outpatient outcomes associated with 2 LDI protocols of buprenorphine among individuals with opioid use disorder (OUD) using fentanyl.
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