Management of acute calculus cholecystitis with integrated Ayurveda and Yoga intervention: A case report

Utilizing Go-Yoga Smartphone Application to Prevent Preeclampsia in Pregnant Women

After bleeding, hypertension is the second leading cause of maternal death.  Hypertension is caused by a combination of factors, including increased stress and a low level of albumin. All of these changes will cause complications and necessitate long-term medication therapy. As a result, complementary therapies such as family roles and yoga are required. Many people are unfamiliar with yoga movements, so this study provides innovation by incorporating yoga into a smartphone application. The objective of the study is to determine the differences in the implementation of the Go-Yoga smartphone application and the role of the family in pregnant women in the III trimester on blood pressure and albumin levels. This type of research is quasi-experimental involving 60 pregnant women in the third trimester. In Group I, 20 pregnant women practiced yoga with books; in Group II, 20 pregnant women exercised yoga with the Go-Yoga app without their families; and in Group III, 20 pregnant women practiced yoga with their families. The study's results revealed significant blood pressure, with the third group having the highest average (p = 0.000 1). Pregnant women who utilize the Go-Yoga app with their families have lower blood pressure than other groups. Furthermore, pregnant women who employ the Go-Yoga app with their families have higher albumin levels than other groups. Therefore, this study suggests employing the Go-Yoga application with the family prevents hypertension in pregnancy.

Baghel Prakash Prognosis Scoring System - Conceptual framework and preliminary psychometric validation

BACKGROUND

The assessment of prognosis in a patient using a rigorous methodology is documented in old Ayurveda texts. But in present times, practitioners employ varied clinical assessment methods, which results in low inter-observer agreement.

OBJECTIVES

This study proposes a conceptual framework for developing a prognosis scoring system, which we refer to as the "Baghel Prakash prognosis scoring system" (BPPSS), and presents its preliminary psychometric validation.

MATERIALS AND METHODS

Classics of Ayurveda were extensively reviewed for item generation. Thirty-nine items were pooled initially. The Content Validity Index for Items (I-CVI), Scale-level Content Validity Index (S-CVI), and Content Validity Ratio (CVR) were calculated. The final framework contained 30 items. The scoring system was pilot-tested in a sample of 30 patients with various disease conditions. The reliability checks were done to evaluate internal consistency. Inter-item correlations, item-total correlations, and Cronbach's alpha (if an item is deleted) were used to conduct item analysis for the instrument.

RESULTS

The framework developed includes a set of early clinical warning signs and a prognosis scoring system of 30 items with a provision for clinical adjustment of scores for selected items. Internal consistency of the scoring system during the initial psychometric validation revealed a value of .761 for Cronbach's alpha (based on standardized items), and item analysis revealed that most of the items had acceptable correlation coefficients between .3 and .7.

CONCLUSION

Based on this preliminary validation study, we found that this prognosis framework, based on the principles of Ayurveda, may be used in varied clinical situations. The preliminary psychometric validation experiments yielded satisfactory results. The framework also has potential in clinical research, such as selecting patients with similar prognostic scores for comparability in case and control groups of clinical trials. This tool can be utilized as a reliable outcome measure after conducting enough validation studies.