Building Reusable Software Component For Optimization Check in ABAP Coding

Software component reuse is the software engineering practice of developing new software products from existing components. A reuse library or component reuse repository organizes stores and manages reusable components. This paper describes how a reusable component is created, how it reuses the function and checking if optimized code is being used in building programs and applications. Finally providing coding guidelines, standards and best practices used for creating reusable components and guidelines and best practices for making configurable and easy to use.Comment: 9 pages, 6 figure

A Prospective Study of universal Screening of Hyperglycemia in Pregnancy During 1st Antenatal Visit

Background:Clinical recognition of GDM is a important because proper recognition and intervention can reduce the well described GDM associated perinatal morbidity and mortality. Study aimed to diagnose the hyperglycemia in first visit and follow-up for outcome of pregnancy.Aims:To assess the prevalence of GDM in our hospital and to study the usefulness of a one-step procedure as a method for both screening and identification of gestational diabetes mellitus. Methods:This prospective study was conducted at department of Obstetrics and Gynaecology, CKM government maternity hospital, Kakatiya medical college Warangal. Patients were recruited in outpatient ward during the antenatal visits of pregnant women. All pregnant women who had 1st antenatal visit from July 2019 to September 2020 were included in present study after obtaining the informed consent.Results:Total of 197 mothers visiting the antenatal check-up are included in present study with mean age of 25.20±3.9yrs and BMI pre-pregnancy of 24.90±3.02kg/m2. Majority of mothers were primigravida (447.7%) followed with 32.5% with gravida 2. All the pregnant mothers who were diagnosed as GDM were put on standard treatment regimen with Insulin or OHA. The pregnancy outcome as the birth weight of the newborn was comparable between both the groups. However, the mean weight of newborn was 3.11±0.61kg among GDM mothers and 3.05±0.57kg among the normal pregnant women. (p>0.05)Conclusions:Thehyperglycemia screening among the pregnant mothers attending the antenatal visit is found to be beneficial. The pregnant mothers were diagnosed with gestational diabetes mellitus at the earliest and the treatment was initiated timely. The timely intervention among the GDM mothers, have shown a comparable outcome of the pregnancy, with no significant difference in birth weight of the newborn among the normal healthy pregnancy and the GDM mothers

Characterising HIV transmission risk among US patients with HIV in care: a cross-sectional study of sexual risk behaviour among individuals with viral load above 1500 copies/mL

ObjectivesViral load and sexual risk behaviour contribute to HIV transmission risk. High HIV viral loads present greater transmission risk than transient viral ‘blips’ above an undetectable level. This paper therefore characterises sexual risk behaviour among patients with HIV in care with viral loads>1500 copies/mL and associated demographic characteristics.MethodsThis cross-sectional study was conducted at six HIV outpatient clinics in USA. The study sample comprises 1315 patients with HIV with a recent viral load >1500 copies/mL. This study sample was drawn from a larger sample of individuals with a recent viral load >1000 copies/mL who completed a computer-assisted self-interview (CASI) regarding sexual risk practices in the last 2 months. The study sample was 32% heterosexual men, 38% men who have sex with men (MSM) and 30% women.ResultsNinety per cent of the sample had their viral load assay within 60 days of the CASI. Thirty-seven per cent reported being sexually active (vaginal or anal intercourse) in the last 2 months. Most of the sexually active participants reported always using condoms (56.9%) or limiting condomless sex to seroconcordant partners (serosorting; 29.2% overall and 42.9% among MSM). Among sexually active participants who reported condomless anal or vaginal sex with an at-risk partner (14%), most had viral loads>10 000 copies/mL (62%).ConclusionsA relatively small number of patients with HIV in care with viral loads above 1500 copies/mL reported concurrent sexual transmission risk behaviours. Most of the individuals in this small group had markedly elevated viral loads, increasing the probability of transmission. Directing interventions to patients in care with high viral loads and concurrent risk behaviour could strengthen HIV prevention and reduce HIV infections.Trial registration numberNCT02044484, completed

Evaluation of a computer-based and counseling support intervention to improve HIV patients' viral loads

We sought to integrate a brief computer and counseling support intervention into the routine practices of HIV clinics and evaluate effects on patients' viral loads. The project targeted HIV patients in care whose viral loads exceeded 1000 copies/ml at the time of recruitment. Three HIV clinics initiated the intervention immediately, and three other HIV clinics delayed onset for 16 months and served as concurrent controls for evaluating outcomes. The intervention components included a brief computer-based intervention (CBI) focused on antiretroviral therapy adherence; health coaching from project counselors for participants whose viral loads did not improve after doing the CBI; and behavioral screening and palm cards with empowering messages available to all patients at intervention clinics regardless of viral load level. The analytic cohort included 982 patients at intervention clinics and 946 patients at control clinics. Viral loads were assessed at 270 days before recruitment, at time of recruitment, and +270 days later. Results indicated that both the control and intervention groups had significant reductions in viral load, ending with approximately the same viral level at +270 days. There was no evidence that the CBI or the targeted health coaching was responsible for the viral reduction in the intervention group. Results may stem partially from statistical regression to the mean in both groups. Also, clinical providers at control and intervention clinics may have taken action (e.g., conversations with patients, referrals to case managers, adherence counselors, mental health, substance use specialists) to help their patients reduce their viral loads. In conclusion, neither a brief computer-based nor targeted health coaching intervention reduced patients' viral loads beyond levels achieved with standard of care services available to patients at well-resourced HIV clinics

Evaluation of a computer-based and counseling support intervention to improve HIV patients’ viral loads

We sought to integrate a brief computer and counseling support intervention into the routine practices of HIV clinics and evaluate effects on patients' viral loads. The project targeted HIV patients in care whose viral loads exceeded 1000 copies/ml at the time of recruitment. Three HIV clinics initiated the intervention immediately, and three other HIV clinics delayed onset for 16 months and served as concurrent controls for evaluating outcomes. The intervention components included a brief computer-based intervention (CBI) focused on antiretroviral therapy adherence; health coaching from project counselors for participants whose viral loads did not improve after doing the CBI; and behavioral screening and palm cards with empowering messages available to all patients at intervention clinics regardless of viral load level. The analytic cohort included 982 patients at intervention clinics and 946 patients at control clinics. Viral loads were assessed at 270 days before recruitment, at time of recruitment, and +270 days later. Results indicated that both the control and intervention groups had significant reductions in viral load, ending with approximately the same viral level at +270 days. There was no evidence that the CBI or the targeted health coaching was responsible for the viral reduction in the intervention group. Results may stem partially from statistical regression to the mean in both groups. Also, clinical providers at control and intervention clinics may have taken action (e.g., conversations with patients, referrals to case managers, adherence counselors, mental health, substance use specialists) to help their patients reduce their viral loads. In conclusion, neither a brief computer-based nor targeted health coaching intervention reduced patients' viral loads beyond levels achieved with standard of care services available to patients at well-resourced HIV clinics

Single Viral Load Measurements Overestimate Stable Viral Suppression Among HIV Patients in Care: Clinical and Public Health Implications

The HIV continuum of care paradigm uses a single viral load test per patient to estimate the prevalence of viral suppression. We compared this single-value approach with approaches that used multiple viral load tests to examine the stability of suppression. The retrospective analysis included HIV patients who had at least 2 viral load tests during a 12-month observation period. We assessed the (1) percent with suppressed viral load (<200 copies/mL) based on a single test during observation, (2) percent with suppressed viral loads on all tests during observation, (3) percent who maintained viral suppression among patients whose first observed viral load was suppressed, and (4) change in viral suppression status comparing first with last measurement occasions. Prevalence ratios compared demographic and clinical subgroups. Of 10,942 patients, 78.5% had a suppressed viral load based on a single test, whereas 65.9% were virally suppressed on all tests during observation. Of patients whose first observed viral load was suppressed, 87.5% were suppressed on all subsequent tests in the next 12 months. More patients exhibited improving status (13.3% went from unsuppressed to suppressed) than worsening status (5.6% went from suppressed to unsuppressed). Stable suppression was less likely among women, younger patients, black patients, those recently diagnosed with HIV, and those who missed ≥1 scheduled clinic visits. Using single viral load measurements overestimated the percent of HIV patients with stable suppressed viral load by 16% (relative difference). Targeted clinical interventions are needed to increase the percent of patients with stable suppression