Development and validation of preconception care improvement scale (PCIS) in a resource-limited setting

Background Preconception care helps to close the gaps in a continuum of care. It is of paramount importance to reduce maternal and child adverse pregnancy outcomes, increase the utilization of services such as antenatal care, skilled delivery care, and post-natal care, and improve the lives of future generations. Therefore, a validated instrument is required. The purpose of this study was to develop and validate the preconception care improvement scale (PCIS) in a resource-limited setting. Methods A mixed-method study was carried out from 02, March to 10, April 2019 in Manna district, Oromia region, Ethiopia to test the reliability and validity of the scale. Items were generated from literatures review, in-depth interviews with different individuals, and focused group discussions with women of reproductive age groups. A pretested structured questionnaire was used and a survey was conducted among 623 pregnant women in the district. The collected data were entered into EPI-data version 3.1 software and exported to SPSS version 23 software and data were analyzed for internal consistency and validity using reliability analysis and factor analysis. Results The PCIS has 17 items loaded into six factors: Substance-related behaviors, screening for common non-communicable and infectious diseases, micronutrient supplementation and vaccination, seeking advice, decision and readiness for conception, and screening for sexually transmitted diseases. Factor analysis accounted for 67.51% of the observed variance. The internal consistency (Cronbach’s alpha) of the scale was 0.776. Diversified participants of the qualitative study and experts’ discussions assured the face and content validity of the scale. Factor loading indicated the convergent validity of the scale. Three of the PCIS subscale scores had a positive and significant association with the practice of preconception care and antenatal care visits, which confirmed the predictive validity of the scale. Conclusion The PCIS exhibited good reliability, face validity, content validity, convergent validity, and predictive validity. Thus, the scale is valid and helps to improve preconception care, especially in resource-limited settings.

Measuring the Effect of Dimensional Analysis on Nurses' Level of Self-Efficacy in Medication Calculation Errors

Aims of The Study: The main aim of this study is to improve the calculation of medicines in nurses and develop a master plan for drug calculation competencies which will be yearly renewable. Objective: To evaluate the effects of dimensional analysis on the self-efficacy levels of nurses, specifically regards to their medication calculation abilities. Methodology: Quasi experimental study design was used in this study. This quasi-experimental study was conducted at the teaching hospital of the University of Lahore. It is a tertiary care hospital with 450-bedded capacities where almost 113 registered nurses are performing their duties in different shifts. Results: the frequency and classification of gender, in which male were 22% and female were 78%, the classification of age in which 21- 25 years old participants were 12.45%, some participants age between 26-30 years were 28.3%, participants of 31-35 years were 37.2%, the participants whose age were 36-40 years were 15% and above 40 years participants age were 701%. Classification of education in which 16.8% participants were General Nurse, 36.3% participants were Post RN and 46.9% participants were Generic BSN. The classification of Designation also discusses such as, 47.8% participants were charge nurses, 32.7% were Shift In charge and 19.5% were unit In charge. Conclusion: This study focusses to enhance the mathematical skills of the nurses and minimize the calculation errors of nurses during medication which is a challenging issue among nurses. This study is to extend focus on improving nurse’s medication calculation accuracy. To accomplish the stated purpose, a single intervention dimensional analysis was used which provide a situation for health-care improvement and to find techniques for improving the rate of medication errors. Statistically 39.86% difference recorded in pre-and post-intervention data. Keywords: Self Efficacy, Dimensional Analysis, medication calculation, mathematical calculation confidence level

Preoperative in-hospital mortality in neonates with critical CHD

Objective: Data regarding preoperative mortality in neonates with critical CHD are sparse and would aid patient care and family counselling. The objective of this study was to utilise a multicentre administrative dataset to report the rate of and identify risk factors for preoperative in-hospital mortality in neonates with critical CHD across US centres. Study design: The Pediatric Health Information System database was utilised to search for newborns ≤30 days old, born 1 January 2009 to 30 June 2018, with an ICD-9/10 code for d-transposition of the great arteries, truncus arteriosus, interrupted aortic arch, or hypoplastic left heart syndrome. Preoperative in-hospital mortality was defined as patients who died prior to discharge without an ICD code for cardiac surgery or interventional catheterisation. Results: Overall preoperative mortality rate was at least 5.4% (690/12,739) and varied across diagnoses (d-TGA 2.9%, TA 8.3%, IAA 5.5%, and HLHS 7.3%) and centres (0–20.5%). In multivariable analysis, risk factors associated with preoperative mortality included preterm delivery (<37 weeks) (OR 2.3, 95% CI: 1.8–2.9; p < 0.01), low birth weight (<2.5 kg) (OR 3.8, 95% CI: 3.0–4.7; p < 0.01), and genetic abnormality (OR 1.6, 95% CI: 1.2–2.2; p < 0.01). Centre average surgical volume was not a significant risk factor. Conclusion: Approximately 1 in 20 neonates with critical CHD suffered preoperative in-hospital mortality, and rates varied across diagnoses and centres. Better understanding of the factors that drive the variation (e.g. patient factors, preoperative care models, surgical timing) could help identify patient care improvement opportunities and inform conversations with families.

Managing the economic challenges in the treatment of heart failure

Background Treatment of heart failure is complex and inherently challenging. Patients traverse multiple practice settings as inpatients and outpatients, often resulting in fragmented care. The Center for Medicare and Medicaid Services is implementing payment programs that reward delivery of high-quality, cost-effective care, and one of the newer programs, the Bundled Payment for Care Improvement Advanced program, attempts to improve the coordination of care across practices for a hospitalization episode and post-acute care. The quality and cost of care contribute to its value, but value may be defined in different ways by different entities. Conclusions The rapidly changing world of digital health may contribute to or detract from the quality and cost of care. Health systems, payers, and patients are all grappling with these issues, which were reviewed at a symposium at the Heart Failure Society of America conference in Philadelphia, Pennsylvania on September 14, 2019. This article constitutes the proceedings from that symposium.

Juvenile idiopathic arthritis-associated uveitis in the era of biological therapy: how the disease changed in more than 20 years of observation in a tertiary referral center in Rome (Italy)

Objectives To describe the ophthalmological characteristics in a Juvenile idiopathic arthritis (JIA) cohort and to evaluate how therapeutic advances have changed the course of the uveitis. Methods Analysis of a retrospective cohort study of consecutive JIA pediatric patients including JIA-associated uveitis (JIA-U) and comparison with a previous study in the same uveitis center assessed before the wide-spread of biological therapy. Results The total of 49 JIA patients were analyzed, of whom 18 JIA-U, compared with a JIA-U past cohort of 66 patients. Systemic corticosteroids were used significantly less in the current JIA-U group (p = 0.008) than in the past one. JIA-U present cohort was on therapy more frequently with conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs) than the past group (p = 0.039), mostly treated with methotrexate (93.3%). Furthermore, a larger use of biologic disease-modifying anti-rheumatic drugs (bDMARDs) was described in the current JIA-U group (p = 0.005) also associated with csDMARDs (p = 0.003). Adalimumab was used more (72.7%) in the present JIA-U cohort compared to a larger treatment with infliximab (61.5%) in the past (p = 0.005). Higher number of uveitis recurrences was observed in the previous cohort compared to the current one (p = 0.005). Fewer complications were described in this study than in the previous: posterior synechiae (p = 0.007), cataract (p < 0.001), band keratopathy (p < 0.001), and elevated intraocular pressure (IOP) (p = 0.047). Conclusion Current therapies reduced the uveitis recurrences and ocular complications including cataract due also to the lower use of corticosteroids. The new close collaboration with the pediatric rheumatologic center in the same University has contributed to the care improvement and decrease of uveitis complications.

Evaluating satisfaction with the quality and provision of end-of-life care for patients from diverse ethnocultural backgrounds

Background Recently immigrated and ethnic minority patients in Ontario, Canada are more likely to receive aggressive life-prolonging treatment at the end of life in comparison to other patients. To explore this finding further, this survey-based observational study aimed to evaluate satisfaction with the quality of end-of-life care for patients from diverse ethnocultural backgrounds. Methods The End-of-Life Satisfaction Survey was used to measure satisfaction with the quality of inpatient end-of-life care from the perspective of next-of-kin of recently deceased patients at Sunnybrook Health Sciences Centre in Toronto, Ontario (between March 2012 to May 2019). The primary outcome was the global rating of satisfaction. Associations with patient ethnicity, patient religion, level of religiosity/spirituality, language/communication barriers, and location of death were assessed using univariable and multivariable modified Poisson regression. Secondary outcomes included differences in satisfaction and rates of dying in intensive care units (ICU) among patient population subgroups, and identification of high priority areas for quality-of-care improvement. Results There were 1,543 respondents. Patient ethnicities included Caucasian (68.2%), Mediterranean (10.5%), East Asian (7.6%), South Asian (3.5%), Southeast Asian (2.1%) and Middle Eastern (2.0%); religious affiliations included Christianity (66.6%), Judaism (12.3%) and Islam (2.1%), among others. Location of death was most commonly in ICU (38.4%), hospital wards (37.0%) or long-term care (20.0%). The mean(SD) rating of satisfaction score was 8.30(2.09) of 10. After adjusting for other covariates, satisfaction with quality of end-of-life care was higher among patients dying in ICU versus other locations (relative risk [RR] 1.51, 95%CI 1.05-2.19, p=0.028), lower among those who experienced language/communication barriers (RR 0.49 95%CI 0.23-1.06, p=0.069), and lower for Muslim patients versus other religious affiliations (RR 0.46, 95%CI 0.21-1.02, p=0.056). Survey items identified as highest priority areas for quality-of-care improvement included communication and information giving; illness management; and healthcare provider characteristics such as emotional support, doctor availability and time spent with patient/family. Conclusion Satisfaction with quality-of-care at the end of life was higher among patients dying in ICU and lower among Muslim patients or when there were communication barriers between families and healthcare providers. These findings highlight the importance of measuring and improving end-of-life care across the ethnocultural spectrum.