Young, obese, and underweight patients show up inadequately at scheduled appointments: Findings from a record-based study on diabetic, hypertensive diabetic, and hypertensive patients attending a primary care clinic of Puducherry

Incidence and predictors of case cancellation within 24 h in patients scheduled for elective surgical procedures

OBJECTIVE

Avoidable case cancellations within 24 h reduce operating room (OR) efficiency, add unnecessary costs, and may have physical and emotional consequences for patients and their families. We developed and validated a prediction tool that can be used to guide same day case cancellation reduction initiatives.

DESIGN

Retrospective hospital registry study.

SETTING

University-affiliated hospitals network (NY, USA).

PATIENTS

246,612 (1/2016-6/2021) and 58,662 (7/2021-6/2022) scheduled elective procedures were included in the development and validation cohort.

MEASUREMENTS

Case cancellation within 24 h was defined as cancelling a surgical procedure within 24 h of the scheduled date and time. Our candidate predictors were defined a priori and included patient-, procedural-, and appointment-related factors. We created a prediction tool using backward stepwise logistic regression to predict case cancellation within 24 h. The model was subsequently recalibrated and validated in a cohort of patients who were recently scheduled for surgery.

MAIN RESULTS

8.6% and 8.7% scheduled procedures were cancelled within 24 h of the intended procedure in the development and validation cohort, respectively. The final weighted score contains 29 predictors. A cutoff value of 15 score points predicted a 10.3% case cancellation rate with a negative predictive value of 0.96, and a positive predictive value of 0.21. The prediction model showed good discrimination in the development and validation cohort with an area under the receiver operating characteristic curve (AUC) of 0.79 (95% confidence interval 0.79-0. 80) and an AUC of 0.73 (95% confidence interval 0.72-0.73), respectively.

CONCLUSIONS

We present a validated preoperative prediction tool for case cancellation within 24 h of surgery. We utilize the instrument in our institution to identify patients with high risk of case cancellation. We describe a process for recalibration such that other institutions can also use the score to guide same day case cancellation reduction initiatives.

Prevalence of hypertension and its associated factors among professional drivers: a population-based study

OBJECTIVE

Hypertension is one of the most important causes of cardiovascular disease. It has been found that professional drivers are at high risk of hypertension. This study has been performed to determine the prevalence of hypertension and its associated factors among professional drivers in Shahroud.

METHODS AND RESULTS

In this study, the prevalence of hypertension was determined according to the definition by the American Heart Association among 1461 professional drivers participating in the first cross-sectional phase of Shahroud drivers' prospective cohort study. The prevalence of elevated blood pressure and hypertension was examined based on the initial age, and gender presented, along with the factors affecting this disease based on multinomial logistic regression. The prevalence of elevated blood pressure, stage 1 and 2 hypertension was 46.9%, 6%, and 1.3%, respectively. In the multivariate multinomial logistic regression model, having diabetes, Body Mass Index ≥25, and driving years was associated with an increased chance of developing elevated blood pressure and hypertension.

CONCLUSIONS

Attention should be paid to high prevalence of elevated blood pressure and hypertension among professional drivers in Iran as a health priority for drivers. Plans should be made to reduce it as well as to prevent its complications.

Application of Artificial Intelligence in the Establishment of an Association Model between Metabolic Syndrome, TCM Constitution, and the Guidance of Medicated Diet Care

Background

This study conducted exploratory research using artificial intelligence methods. The main purpose of this study is to establish an association model between metabolic syndrome and the TCM (traditional Chinese medicine) constitution using the characteristics of individual physical examination data and to provide guidance for medicated diet care.

Methods

Basic demographic and laboratory data were collected from a regional hospital health examination database in northern Taiwan, and artificial intelligence algorithms, such as logistic regression, Bayesian network, and decision tree, were used to analyze and construct the association model between metabolic syndrome and the TCM constitution. Findings. It was found that the phlegm-dampness constitution (90.6%) accounts for the majority of TCM constitution classifications with a high risk of metabolic syndrome, and high cholesterol, blood glucose, and waist circumference were statistically significantly correlated with the phlegm-dampness constitution. This study also found that the age of patients with metabolic syndrome has been advanced, and shift work is one of the risk indicators. Therefore, based on the association model between metabolic syndrome and TCM constitution, in the future, metabolic syndrome can be predicted through the syndrome differentiation of the TCM constitution, and relevant medicated diet care schemes can be recommended for improvement.

Conclusion

In order to increase the public's knowledge and methods for mitigating metabolic syndrome, in the future, nursing staff can provide nonprescription medicated diet-related nursing guidance information via the prediction and assessment of the TCM constitution.

Awareness and perceptions regarding taxation and health warnings related to sugar-sweetened beverages and the factors associated with these among visitors of a general out-patient clinic in Bhopal, India

INTRODUCTION

Although increased taxation on sugar-sweetened beverages (SSBs) and warning labels on their packaging have been successful in other countries, India has not implemented these. It is imperative to understand the user perspectives before implementation, regarding which almost no information exists.

OBJECTIVES

To assess the awareness and perceptions of people regarding taxation and health warnings on SSB packaging, and to determine the factors associated with these.

METHODOLOGY

This cross-sectional study was conducted in the general out-patient clinic of a public tertiary care hospital in Bhopal, India, between April and November 2018. Patients and accompanying persons ≥15 years of age and attending the clinic were included. Severely ill patients were excluded. Exit interviews were conducted after the clinical consultation using a pre-tested semi-structured interview schedule. Data were analyzed using IBM SPSS version 21.

RESULTS

Out of the 503 participants interviewed, three-fourths had never heard of taxes on SSBs and had never seen any health warning on SSB packaging. Most participants (96.6%) wanted some health warning to be present on the packaging. Majority of them (69.3%) wanted both textual and pictorial warnings. Close to half of those who wanted a pictorial warning to be present opined that it should occupy <25% of the surface area of the packaging. Multivariable analysis showed that participants aged <25 years and females were not in favor of tax increment.

CONCLUSION

Government policies should also focus on user perspectives and preferences before deciding to increase tax on SSBs or introducing mandatory health warnings on SSBs.