Conectar
To examine healthcare providers' extent of and perceived barriers and facilitators to screening for intimate partner violence in pregnant women attending prenatal clinics.
Cross-sectional descriptive design was used to collect data from 130 healthcare providers.
Seventeen healthcare providers from 17 prenatal clinics in Kanungu district, Uganda, were recruited via convenience sampling to participate in an online survey implementing a modified Normalization Measure Development instrument. Data were collected between February 2023 and March 2023 (02/8/2023 to 03/12/2023) and analysed using descriptive and Mann–Whitney U test and chi-square tests.
Slightly more than half (56%) of healthcare providers report screening pregnant women for intimate partner violence. There was a statistically significant relationship between healthcare providers screening for intimate partner violence and having previous training on intimate partner violence screening. The only barrier to screening identified was a lack of understanding of how intimate partner violence screening affects the nature of participant's own work. There were numerous potential facilitators identified for healthcare providers' intimate partner violence screening.
Although higher-than-expected number of healthcare providers reported screening of pregnant women for intimate partner violence, the extent of screening is still suboptimal. The barrier to screening identified needs to be addressed and facilitators promoted. Receiving training among healthcare providers on intimate partner violence screening was associated with higher levels of screening; thus, this needs to be enhanced to optimize screening rates. Future studies should assess screening practices objectively and implement interventions to improve healthcare providers’ intimate partner violence screening rates.
Screening for intimate partner violence should be part of standard care provided by healthcare providers to all pregnant women during prenatal clinic visits. The study supports the need for more training for healthcare providers in aspects related to intimate partner violence screening in order to ensure prompt diagnosis and treatment of those affected, identify those at risk and increase awareness. There is a need to enhance healthcare providers' capacity for intimate partner violence screening through education by integrating intimate partner violence screening pre- and post-registration courses and preparation programs or curriculum.
Intimate partner violence (IPV) in pregnancy is a global health problem. Screening for IPV by healthcare providers is suboptimal. This study found that only 56% of healthcare providers were routinely screening for IPV in Ugandan prenatal clinics. This study identified the main facilitators and one barrier to IPV screening.
This study has adhered to the relevant EQUATOR guidelines for quantitative studies.
No patient was involved in this study.
by Nicodemus Songose Awarayi, Frimpong Twum, James Ben Hayfron-Acquah, Kwabena Owusu-Agyemang
This study aims to develop an optimally performing convolutional neural network to classify Alzheimer’s disease into mild cognitive impairment, normal controls, or Alzheimer’s disease classes using a magnetic resonance imaging dataset. To achieve this, we focused the study on addressing the challenge of image noise, which impacts the performance of deep learning models. The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. Subsequently, a convolutional neural network model comprising four convolutional layers and two hidden layers was devised for classifying Alzheimer’s disease into three (3) distinct categories, namely mild cognitive impairment, Alzheimer’s disease, and normal controls. The model was trained and evaluated using a 10-fold cross-validation sampling approach with a learning rate of 0.001 and 200 training epochs at each instance. The proposed model yielded notable results, such as an accuracy of 93.45% and an area under the curve value of 0.99 when trained on the three classes. The model further showed superior results on binary classification compared with existing methods. The model recorded 94.39%, 94.92%, and 95.62% accuracies for Alzheimer’s disease versus normal controls, Alzheimer’s disease versus mild cognitive impairment, and mild cognitive impairment versus normal controls classes, respectively.This study aims to reduce potentially inappropriate prescribing (PIP) of statins and foster healthy lifestyle promotion in cardiovascular disease (CVD) primary prevention in low-risk patients. To this end, we will compare the effectiveness and feasibility of several de-implementation strategies developed following the structured design process of the Behaviour Change Wheel targeting key determinants of the clinical decision-making process in CVD prevention.
A cluster randomised implementation trial, with an additional control group, will be launched, involving family physicians (FPs) from 13 Integrated Healthcare Organisations (IHOs) of Osakidetza-Basque Health Service with non-zero incidence rates of PIP of statins in 2021. All FPs will be exposed to a non-reflective decision assistance strategy based on reminders and decision support tools. Additionally, FPs from two of the IHOs will be randomly assigned to one of two increasingly intensive de-implementation strategies: adding a decision information strategy based on knowledge dissemination and a reflective decision structure strategy through audit/feedback. The target population comprises women aged 45–74 years and men aged 40–74 years with moderately elevated cholesterol levels but no diagnosed CVD and low cardiovascular risk (REGICOR
The study was approved by the Basque Country Clinical Research Ethics Committee and was registered in ClinicalTrials.gov (NCT04022850). Results will be disseminated in scientific peer-reviewed journals.
We assessed associations between intravaginal practices (IVPs) and the incidence of sexually transmitted infections (STIs) and bacterial vaginosis (BV) among women using the dapivirine vaginal ring (DVR) or placebo vaginal ring in southwestern Uganda.
This was a retrospective secondary analysis of data collected from women at risk of HIV infection recruited into the Ring Study. The latter evaluated the safety and efficacy of the DVR between 2013 and 2016. At baseline, a behavioural questionnaire was administered to obtain information on sexual activity and IVP (exposure) defined as; insertion inside the vagina of any items aimed at cleaning the vagina for any reason before, during or after sex other than practices to manage menses. Each participant self-inserted the DVR/placebo and replaced it every 4 weeks for 2 years. Outcomes were diagnosis of STIs, that is, Chlamydia trachomatis, Neisseria gonorrhoea, Trichomonas vaginalis (TV), HIV and BV. The incidence rate of STI/BV was estimated, overall, by IVP and trial arm in single-event-per-participant and multiple-event-per-participant analyses.
Of the 197 women enrolled, 66 (33.5%) were
IVP was not associated with risk of STIs/BV in the Ring Study.
HIV drug resistance (DR) is a growing threat to the durability of current and future HIV treatment success. DR testing (DRT) technologies are very expensive and specialised, relying on centralised laboratories in most low and middle-income countries. Modelling for laboratory network with point-of-care (POC) DRT assays to minimise turnaround time (TAT), is urgently needed to meet the growing demand.
We developed a model with user-friendly interface using integer programming and queueing theory to improve the DRT system in Kisumu County, Kenya. We estimated DRT demand based on both current and idealised scenarios and evaluated a centralised laboratory-only network and an optimised POC DRT network. A one-way sensitivity analysis of key user inputs was conducted.
In a centralised laboratory-only network, the mean TAT ranged from 8.52 to 8.55 working days, and the system could not handle a demand proportion exceeding 1.6%. In contrast, the mean TAT for POC DRT network ranged from 1.13 to 2.11 working days, with demand proportion up to 4.8%. Sensitivity analyses showed that expanding DRT hubs reduces mean TAT substantially while increasing the processing rate at national labs had minimal effect. For instance, doubling the current service rate at national labs reduced the mean TAT by only 0.0%–1.9% in various tested scenarios, whereas doubling the current service rate at DRT hubs reduced the mean TAT by 37.5%–49.8%. In addition, faster batching modes and transportation were important factors influencing the mean TAT.
Our model offers decision-makers an informed framework for improving the DRT system using POC in Kenya. POC DRT networks substantially reduce mean TAT and can handle a higher demand proportion than a centralised laboratory-only network, especially for children and pregnant women living with HIV, where there is an immediate push to use DRT results for patient case management.
This study aimed (1) to examine the association between patient engagement with a bidirectional, semiautomated postdischarge texting programme and Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey outcomes, readmissions and revisit rates in a large health system and (2) to describe operational and clinical flow considerations for implementing a postdischarge texting programme.
The study involved 1 main academic hospital (beds: 2500+) and 6 community hospitals (beds: 190–400, averaging 300 beds per hospital) in Houston, Texas.
Retrospective, observational cohort study between non-engaged patients (responded with 0–2 incoming text messages) and engaged patients (responded with 3+ incoming, patient-initiated text messages) between December 2022 and May 2023. We used the two-tailed t-test for continuous variables and 2 test for categorical variables to compare the baseline characteristics between the two cohorts. For the binary outcomes, such as the revisit (1=yes, vs 0=no) and readmissions (1=yes vs 0=no), we constructed mixed effect logistic regression models with the random effects to account for repeated measurements from the hospitals. For the continuous outcome, such as the case mix index (CMI), a generalised linear quantile mixed effect model was built. All tests for significance were two tailed, using an alpha level of 0.05, and 95% CIs were provided. Significance tests were performed to evaluate the CMI and readmissions and revisit rates.
From 78 883 patients who were contacted over the course of this pilot implementation, 49 222 (62.4%) responded, with 39 442 (50%) responded with 3+ incoming text messages. The engaged cohort had higher HCAHPS scores in all domains compared with the non-engaged cohort. The engaged cohort used significantly fewer 30-day acute care resources, experiencing 29% fewer overall readmissions and 20% fewer revisit rates (23% less likely to revisit) and were 27% less likely to be readmitted. The results were statistically significant for all but two hospitals.
This study builds on the few postdischarge texting studies, and also builds on the patient engagement literature, finding that patient engagement with postdischarge texting can be associated with fewer acute care resources. To our knowledge, this is the only study that documented an association between a text-based postdischarge programme and HCAHPS scores, perhaps owing to the bidirectionality and ease with which patients could interact with nurses. Future research should explore the texting paradigms to evaluate their associated outcomes in a variety of postdischarge applications.
Decision support systems have been widely used in healthcare in recent years; however, there is lack of evidence on global trends and hotspots. This descriptive bibliometric study aimed to analyze bibliometric patterns of decision support systems in nursing. Data were extracted from the Web of Science Core Collection. Published research articles on decision support systems in nursing were identified. Co-occurrence and co-citation analysis was performed using CiteSpace version 6.1.R2. In total, 165 articles were analyzed. A total of 358 authors and 257 institutions from 20 countries contributed to this research field. The most productive authors were Andrew Johnson, Suzanne Bakken, Alessandro Febretti, Eileen S. O'Neill, and Kathryn H. Bowles. The most productive country and institution were the United States and Duke University, respectively. The top 10 keywords were “care,” “clinical decision support,” “clinical decision support system,” “decision support system,” “electronic health record,” “system,” “nursing informatics,” “guideline,” “decision support,” and “outcomes.” Common themes on keywords were planning intervention, national health information infrastructure, and methodological challenge. This study will help to find potential partners, countries, and institutions for future researchers, practitioners, and scholars. Additionally, it will contribute to health policy development, evidence-based practice, and further studies for researchers, practitioners, and scholars. by Abdou Fatawou Modiyinji, Lange Tchamba Amorgathe Tankeu, Chavely Gwladys Monamele, Moise Henri Yifomnjou Moumbeket, Paul Alain Tagnouokam Ngoupo, Huguette Tchetgna Simo, Abanda Njei Ngu, Kazanji Mirdad, Richard Njouom
BackgroundFebrile jaundice is a common indicator of certain infectious diseases, including hepatitis E. In Cameroon, the yellow fever virus is the only pathogen that is monitored in patients who present with this symptom. However, more than 90% of the samples received as part of this surveillance are negative for yellow fever. This study aimed to describe the prevalence and hepatitis E virus (HEV) genotype among yellow fever-negative patients in the Far North and West regions of Cameroon.
MethodsIn a cross-sectional study, yellow fever surveillance-negative samples collected between January 2021 and January 2023 were retrospectively analyzed. Anti-HEV IgM and IgG antibodies were tested using commercially available ELISA kits. Anti-HEV IgM and/or IgG positive samples were tested for HEV RNA by real-time RT-PCR, followed by nested RT-PCR, sequencing and phylogenetic analysis.
ResultsOverall, 121 of the 543 samples (22.3%, 95% CI: 19.0% - 26.0%) were positive for at least one anti-HEV marker. Amongst these, 8.1% (44/543) were positive for anti-HEV IgM, 5.9% (32/543) for anti-HEV IgG, and 8.3% (45/544) for both markers. A total of 15.2% (12/79) samples were positive for HEV RNA real-time RT-PCR and 8 samples were positive for HEV RNA by nested RT-PCR. Phylogenetic analysis showed that the retrieved sequences clustered within HEV genotypes/subtypes 1/1e, 3/3f and 4/4b.
ConclusionOur results showed that HEV is one of the causes of acute febrile jaundice in patients enrolled in the yellow fever surveillance program in two regions of Cameroon. We described the circulation of three HEV genotypes, including two zoonotic genotypes. Further studies will be important to elucidate the transmission routes of these zoonotic HEV genotypes to humans in Cameroon.
Mental health disorders (MHD) rank third for US adult hospitalisations. Given the substantial prevalence of ‘Long COVID’ in SARS-CoV-2 survivors, this study aims to assess its association with increased MHD risk using extensive real-world data.
A retrospective cohort study with propensity score matching was conducted. We used the International Classification of Diseases, 10th Revision codes to identify individuals with Long COVID status and COVID-19 histories. Multivariable stratified Cox proportional hazards regression analysis was conducted to determine the association of Long COVID status with MHD.
Data were sourced from the TriNetX database, spanning records from 1 October 2021 to 16 April 2023.
Two distinct cohorts were established: one comprising individuals diagnosed with Long COVID and another comprising individuals with no history of Long COVID or COVID-19. At the start of the study, none of the participants had a recorded MHD.
The main outcome of interest was a composite diagnosis of MHD. Secondary outcomes were individual mental health conditions.
The study included 43 060 control participants without Long COVID and 4306 Long COVID participants, demonstrating well-balanced distribution across all covariates. After adjusting for 4 demographic factors and 10 comorbidities, Long COVID was associated with MHD (adjusted HR, aHR 2.60; 95% CI 2.37 to 2.85). In subgroup analysis, Long COVID was associated with major depression disorder (aHR 3.36; 95% CI 2.82 to 4.00) and generalised anxiety disorder (aHR 3.44; 95% CI 2.99 to 3.96).
In this retrospective large real-world cohort study, Long COVID was associated with an increased risk of incident MHD. The MHD impact is significant considering the vast number of patients with Long COVID. Enhanced MHD screening among COVID-19 survivors should be a priority.
Concerns about falling (CaF) are common in older people and have been associated with avoidance of activities of daily life. Exercise designed to prevent falls can reduce CaF, but the effects are usually short-lived. Cognitive behavioural therapy (CBT) can reduce CaF for longer but is not readily available in the community and unlikely to prevent falls. A multidomain intervention that combines CBT, motivational interviewing and exercise could be the long-term solution to treat CaF and reduce falls in older people with CaF. This paper describes the design of a randomised controlled trial to test the effectiveness of two different 12 week self-managed eHealth programmes to reduce CaF compared with an active control.
A total of 246 participants (82 per group) aged 65 and over, with substantial concerns about falls or balance will be recruited from the community. They will be randomised into: (1) myCompass-Own Your Balance (OYB) (online CBT programme) intervention or (2) myCompass-OYB plus StandingTall intervention (an eHealth balance exercise programme), both including motivational interviewing and online health education or (3) an active control group (online health education alone). The primary outcome is change in CaF over 12 months from baseline of both intervention groups compared with control. The secondary outcomes at 2, 6 and 12 months include balance confidence, physical activity, habitual daily activity, enjoyment of physical activity, social activity, exercise self-efficacy, rate of falls, falls health literacy, mood, psychological well-being, quality of life, exercise self-efficacy, programme adherence, healthcare use, user experience and attitudes towards the programme. An intention-to-treat analysis will be applied. The healthcare funder’s perspective will be adopted for the economic evaluation if appropriate.
Ethical approval was obtained from the South Eastern Sydney Local Health District Human Research Ethics Committee (2019/ETH12840). Results will be disseminated via peer-reviewed journals, local and international conferences, community events and media releases.
ACTRN12621000440820.
To review the application of telehealth guidelines developed by Bondini et al for clinicians to determine patient suitability for telehealth in an outpatient Chronic Wound Service, including the proportion of patients suitable for telehealth, type and mode of telehealth encounters. Retrospective, random convenience sample of patients attending the Chronic Wound Service in 2021. Fifty-six patients were included, most with leg/foot wounds (93%), median age 74 [54–84], 64% male. Four patients at admission and 19 patients at review met criteria for telehealth. Six percent of encounters were telehealth; phone-only (82%), unscheduled nursing reviews (77%) in patients with healing wounds. Thirty patients (54%) received at least one telehealth encounter. Telehealth occurred 35.6 days later in the admission than face-to-face encounters (p < 0.05, 95% CI 14.9–56.3). There was a significant relationship between patients receiving telehealth and meeting telehealth suitability criteria on reviews (X 2 (1) = 19.6*, p < 0.001). Eighteen percent of patients required wound-related hospitalisation during their outpatient admission. Telehealth guidelines identified patients suitable for telehealth, although the proportion of patients was small. Telehealth was mostly utilised for nurse-led telephone calls in patients with improving wounds. Future research into use of telephone review for clinical standards of wound care is warranted.
by Reenu Thomas, Claude Ondongo-Ezhet, Nini Motsoaledi, Mike Sharland, Michelle Clements, Sithembiso Velaphi
ObjectiveTo determine trends in incidence, etiology and antimicrobial susceptibility of blood and cerebrospinal fluid (CSF) culture confirmed infections in hospitalized infants in a large tertiary neonatal unit in South Africa.
MethodsSingle-center, retrospective review of laboratory records of bacteria and fungi, and their susceptibility profiles, isolated from blood and CSF of infants hospitalized in the neonatal unit at Chris Hani Baragwanath Academic Hospital, Johannesburg, South Africa, from 1st January 2010 to 31st December 2019. Laboratory data on isolates and their antimicrobial susceptibilities were collected. Coagulase-negative Staphylococcus, Corynebacteria and Bacillus spp. were excluded. Patient-level clinical and laboratory data were not available.
ResultsThere were 8,319 significant isolates, giving an infection rate of 14.3/1000 patient-days. Infection rates increased from 12.0 to 15.7/1000 patient-days (estimated average yearly change 0.6[95%CI, 0.5–0.7];p = Acinetobacter baumannii (44%) and Klebsiella pneumoniae (39%). Carbapenem resistance was seen in 31% of all Gram-negatives and increased over time (estimated average yearly change 4.8%[95%CI,4.2%-5.3%];pStaphylococcus aureus was the most common Gram-positive isolated. Rates of methicillin-resistant Staphylococcus aureus decreased from 91% to 55%(estimated average yearly change -2.8%[95%CI,-3.5%–2%],pCandida parapsilosis (52%) and Candida albicans (35%) were the most common fungi isolated.
ConclusionsThere has been a marked overall increase in rates of blood and/or CSF infections, with an absolute increase in Gram-negative infections observed, replacing Gram-positive and fungal pathogens. Extended spectrum beta-lactamase Gram-negative isolates are being replaced by carbapenem resistance, with around one third of all significant Gram-negative isolates now carbapenem resistant. Research into hospital based novel treatment and prevention interventions for neonatal sepsis should be urgently prioritized.
by Minh-Anh Le-Dang, Hai-Yen Nguyen-Thi, Luyen Pham Dinh, Danh Le Ngoc, Nguyen Dang Tu Le, Hien Pham Thu, Dinh Thanh Le
BackgroundThe Coronavirus disease of 2019 (COVID-19) pandemic and the corresponding mitigation measures have had a discernible impact on drug utilization among outpatients. However, limited research exists on the prescription trends in the elderly population during the pandemic period in Viet Nam.
ObjectivesThis study aims to analyze the effects of COVID-19 on outpatient drug utilization patterns at a national geriatric hospital in Ho Chi Minh City before and after the early onset of the pandemic.
MethodsData was collected from the prescriptions and administration claims, encompassing the period from January 2016 to December 2022. The dataset was divided into two periods: Period 1: January 2016 to December 2020 and Period 2: January 2021 to December 2022. The drug utilization was measured using DDD/1000P (defined daily doses–DDD per 1000 prescriptions) on a monthly basis. The analysis employed interrupted time series using Autoregressive Integrated Moving Average (ARIMA) to detect changes in drug use levels and rates.
ResultsA total of 1,060,507 and 644,944 outpatient prescriptions from Thong Nhat Hospital were included in Period 1 and Period 2, respectively. The median age of the patients were 58 in Period 1 and 67 years old in Period 2. The most common comorbidities were dyslipidemia, hypertension, and diabetes mellitus. In terms of medication utilization, cardiovascular drugs were the most frequently prescribed, followed by drugs active on the digestive and hormonal systems. The study observed significant surges in the number of prescriptions and the average number of drugs per prescription. However, there were no significant changes in the overall consumption of all drugs. Among the drug groups related to the cardiovascular system, three subgroups experienced a sudden and significant increase: cardiac therapy, beta-blocking agents, and antihypertensives, with increasing consumption levels of 1,177.73 [CI 95%: 79.29; 2,276.16], 73.32 [CI 95%: 28.18; 118.46], and 36.70 [CI 95%: 6.74; 66.66] DDD/1000P, respectively. On the other hand, there was a significant monthly decrease of -31.36 [CI 95%: -57.02; -5.70] DDD/1000P in the consumption of anti-inflammatory and antirheumatic products. Interestingly, there was a significant increase of 74.62 [CI 95%: -0.36; 149.60] DDD/1000P in the use of antigout preparations.
ConclusionCOVID-19 resulted in a sudden, non-significant increase in overall drug consumption levels among outpatients. Notably, our findings highlight significant increases in the utilization of three drug groups related to the cardiovascular system, specifically cardiac therapy, beta-blocking agents, and antihypertensives. Intriguingly, there was a statistically significant increase in the consumption of antigout preparations, despite a decline in the monthly consumption rate of non-steroidal anti-flammatory drugs (NSAIDs). Further studies in the following years are necessary to provide a more comprehensive understanding of the impact of COVID-19 on outpatient drug utilization patterns.
by Woranich Hinthong, Varangkana Thaotumpitak, Jarukorn Sripradite, Nitaya Indrawattana, Thassanee Srisook, Thida Kongngoen, Edward R. Atwill, Saharuetai Jeamsripong
This study investigated the prevalence and antimicrobial resistance (AMR) of Escherichia coli (E. coli) in Nile tilapia from fresh markets and supermarkets. A total of samples (n = 828) were collected from Nile tilapia including fish flesh (n = 276), liver and kidney (n = 276), and intestine (n = 276). Overall prevalence of fecal coliforms (61.6%) and E. coli (53.0%) were observed. High prevalence of E. coli was found in the intestine (71.4%), followed by the liver and kidney (45.7%). The highest prevalence of resistance was commonly found against tetracycline (78.5%), ampicillin (72.8%), and sulfamethoxazole (45.6%) with resistance to only tetracycline (15.2%) as the most common antibiogram. The prevalence of multidrug resistance (MDR) (54.4%) and Extended-spectrum beta-lactamases (ESBLs) (5.7%) were examined. The predominant virulence genes (n = 158) were st (14.6%), followed by eaeA (0.6%). The blaTEM (73.4%), tetA (65.2%), and qnrS (57.6%). There is statistical significance between Nile tilapia from fresh markets and supermarkets. Based on logistic regression analysis, ampicillin-resistant E. coli was statistically associated with the phenotypic resistance to tetracycline and trimethoprim, and the presence of blaTEM and tetA (pLimb salvage is a difficult path for patients to travel as there is no guarantee of the outcome, often the major factor is perfusion. For patients who underwent transmetatarsal amputation (TMA), success rate is crucial as the next option is most likely a major amputation. We performed a 10 years (2010–2020) retrospective review of patients that underwent a TMA and had an angiogram or computed tomography angiography (CTA) perioperatively at the Dallas VA Medical Center. Failure after TMA was defined as a patient requiring a proximal amputation within 1 year. There were 125 TMAs performed between 2010 and 2020 at the institution. Forty-four (35.2%) patients had an angiogram/CTA peri-operative and met the inclusion criteria. Seventeen subjects (38.6%) had a higher level of amputation. Of the 17 failures, 2 (11.8%) patients had no patent vessel runoff to the foot, 9 (52.9%) had one vessel, 4 (23.5%) had two vessels, and 2 (11.8%) had three vessels runoff. One vessel runoff to the foot yielded a high rate of poor outcomes (56.3%) defined as a higher level of amputation. Two or more vessels runoff to the foot had over 75% success of limb salvage with a TMA.
To investigate the association between older patients’ willingness to have one or more medications deprescribed and: (1) change in medications, (2) change in the appropriateness of medications and (3) implementation of prescribing recommendations generated by the electronic decision support system tested in the ‘Optimising PharmacoTherapy In the Multimorbid Elderly in Primary CAre’ (OPTICA) trial.
A longitudinal sub-study of the OPTICA trial, a cluster randomised controlled trial.
Swiss primary care settings.
Participants were aged ≥65 years, with ≥3 chronic conditions and ≥5 regular medications recruited from 43 general practitioner (GP) practices.
Patients’ willingness to have medications deprescribed was assessed using three questions from the ‘revised Patient Attitudes Towards Deprescribing’ (rPATD) questionnaire and its concerns about stopping score.
Medication-related outcomes were collected at 1 year follow-up. Aim 1 outcome: change in the number of long-term medications between baseline and 12 month follow-up. Aim 2 outcome: change in medication appropriateness (Medication Appropriateness Index). Aim 3 outcome: binary variable on whether any prescribing recommendation generated during the OPTICA medication review was implemented. We used multilevel linear regression analyses (aim 1 and aim 2) and multilevel logistic regression analyses (aim 3). Models were adjusted for sociodemographic variables and the clustering effect at GP level.
298 patients completed the rPATD, 45% were women and 78 years was the median age. A statistically significant association was found between the concerns about stopping score and the change in the number of medications over time (per 1-unit increase in the score the average number of medications use was 0.65 higher; 95% CI: 0.08 to 1.22). Other than that we did not find evidence for statistically significant associations between patients’ agreement with deprescribing and medication-related outcomes.
We did not find evidence for an association between most measures of patient agreement with deprescribing and medication-related outcomes over 1 year.
Third delay refers to delays in delivering requisite care to patients after they arrive at a health facility. In low-resource care settings, effective triage and flow of care are difficult to guarantee. In this study, we aimed to identify delays in the delivery of care to critically ill patients and possible ways to address these delays.
This was an exploratory qualitative study using in-depth interviews and patient journeys. The qualitative data were transcribed and aggregated into themes in NVivo V.12 Plus using inductive and deductive approaches.
This study was conducted in four secondary-level public Kenyan hospitals across four counties between March and December 2021. The selected hospitals were part of the Clinical Information Network.
Purposive sampling method was used to identify administrative and front-line healthcare providers and patients. We conducted 12 in-depth interviews with 11 healthcare workers and patient journeys of 7 patients. Informed consent was sought from the participants and maintained throughout the study.
We identified a cycle of suboptimal systems for care with adaptive mechanisms that prevent quality care to critically ill patients. We identified suboptimal systems for identification of critical illness, inadequate resources for continuity care and disruption of the flow of care, as the major causes of delays in identification and the initiation of essential care to critically ill patients. Our study also illuminated the contribution of inflexible bureaucratic non-clinical business-related organisational processes to third delay.
Eliminating or reducing delays after patients arrive at the hospital is a time-sensitive measure that could improve the care outcomes of critically ill patients. This is achievable through an essential emergency and critical care package within the hospitals. Our findings can help emphasise the need for standardised effective and reliable care priorities to maintain of care of critically ill patients.
The prevention of HIV/AIDS is not making sufficient progress. The slow reduction of HIV/AIDS infections needs to prioritise hesitancy towards service utilisation, including treatment duration, social support and social stigma. This study investigates HIV-positive patients’ avoidance of healthcare services and its correlates.
A cross-sectional study.
The secondary data analysis used cross-sectional data from a randomised controlled intervention, examining the effectiveness of HIV-assisted smartphone applications in the treatment of HIV/AIDS patients in the Bach Mai and Ha Dong clinics in Hanoi.
Simple random sampling was used to identify 495 eligible patients. Two-tailed 2, Mann-Whitney, multivariate logistic and ordered logistic regression models were performed.
The main study outcome was the patients’ healthcare avoidance and frequency of healthcare avoidance. The association of individual characteristics, social and behavioural determinants of HIV patients’ usage of health services was also determined based on the collected data using structured questionnaires.
Nearly half of the participants avoid health service use (47.3%), while 30.7% rarely avoid health service use. Duration of antiretroviral therapy and initial CD4 cell count were negatively associated with avoidance of health services and frequency of health service avoidance. Similarly, those with the middle and highest income were more likely to avoid health services compared with those with the lowest income. People having health problems avoided health service use more frequently (OR 1.47, 95% CI 1.35 to 1.61).
Our study’s findings identify characteristics of significance in relation to health service avoidance and utilisation among HIV-positive patients. The results highlighted the need to improve satisfaction, adherence and utilisation of treatment. Moreover, identifying ways to address or incorporate those social determinants in new policy may also help the treatment of HIV/AIDS and strategically allocate funding in the changing financial and political climate of Vietnam.
Thai Clinical Trials Registry TCTR20220928003.
Urinary tract infections (UTIs) stand as a prominent global health concern. This study entails a 5-year retrospective analysis, using a cross-sectional study design to examine microbiology laboratory data of individuals clinically diagnosed with UTIs at Bugando Medical Centre to gain insights into the prevalence and factors linked to candiduria.
Data extracted were meticulously cleaned and coded in an MS Excel sheet, subsequently transferred to STATA V.15 for analysis. Binary logistic regression analysis was used to identify factors associated with candiduria. A probability value below 0.05 at a 95% CI was considered statistically significant.
Urine samples for culture and sensitivity comprised 33.4% (20755) of the total biological samples (62335). The median age of the patients stood at 19 years. A slight majority were female, accounting for 52.8% (10051), and two-thirds sought treatment at outpatient departments (67.5%, 12843). Among patients with significant pathogenic growth, the prevalence of candiduria was 4.6% (221 out of 4772). Notably, inpatients exhibited a higher incidence of candiduria compared with outpatients, with rates of 9.4% (1882) versus 1.6% (2890), p value of 0.000. Non-albicans Candida spp. (NAC) remained the most prevalent pathogen. Factors significantly associated with candiduria included being female (OR=1.7, 95% CI 1.3 to 2.3) and hospital admission (OR=6.6, 95% CI 4.7 to 9.2). In conclusion, candiduria affect 5 out of every 100 UTI-diagnosed patients, predominantly among females and those admitted to the hospital. Clinicians at tertiary hospitals should consider urinary candidiasis as a potential diagnosis for patients at risk who present with UTI-like symptoms.
Post-stroke depression is the most common neuropsychiatric consequence and reduces rehabilitation effectiveness. However, the efficacy of virtual reality (VR) on mental health treatment for patients after a stroke is uncertain.
The aim of this study was to evaluate the efficacy of VR as a co-adjuvant form of treatment to reduce depression in stroke patients admitted to neurorehabilitation units.
We systematically searched medical databases including PubMed, CINAHL, PsycINFO, Embase, Cochrane Library, Web of Science, and ClinicalTrials.gov from inception to November 16, 2023. Clinical trials comparing the use of VR as an adjuvant form of treatment in stroke patients' rehabilitation with the usual treatment were included. Pooled standardized mean differences were calculated using a random-effects model. Subgroup analyses were performed according to type of stroke, VR characteristics, and the scale used to measure depression. Meta-regression analysis was performed for intervention duration and to determine the mean age of the participants.
Eight studies and 388 stroke patients were included. The VR interventions were associated with a lower risk of depression in patients (ES = −0.69; 95% CI [−1.05, −0.33]; I 2 = 57.6%; p ≤ .02). The estimates were not affected by the type of stroke, the type of VR used, the blinding process, the type of scale used to detect depression, the duration of the intervention (weeks and minutes), and the total number of sessions. Meta-regression shows that younger samples (p = .00; 95% CI [0.01, 0.08) and longer interventions (p = < .05; 95% CI [−0.00, −0.00) lead to a greater reduction in depression.
This review provides an important basis for treating depression in patients after a stroke. Professionals working in stroke neurorehabilitation units should consider VR as a form of co-adjuvant treatment for depression in patients.
CRD42022303968.
FreshRSS 