Conectar
Non-communicable diseases cause 74% of global deaths, with cardiovascular diseases as the major contributor. Hypertension, a primary risk factor for cardiovascular disease, is highly prevalent in Africa. Diagnosis, treatment and control rates are notably limited in rural areas. This limitation results in increased risks of premature mortality and complications such as stroke due to socioeconomic, cultural and geographical challenges. Progress in African countries enhancing hypertension services through primary health care interventions exists. However, a comprehensive review of all primary health care interventions addressing undiagnosed and uncontrolled hypertension in rural African settings is lacking. This scoping review aims to categorise primary health care interventions targeting undiagnosed and uncontrolled hypertension in rural African adults. Intervention components will be mapped to the four stages outlined in the hypertension care cascade to develop a pilot intervention logic model for rural African adults with hypertension.
The scoping review protocol will adhere to the Joanna Briggs Institute methodology and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Studies considered for inclusion will include any intervention delivered by any healthcare provider in a rural African primary care setting targeting any stage of hypertension care. Eight databases will be searched without date restrictions, supplemented by grey literature and reference list searches. A two-stage screening process (title/abstract and full text) will determine evidence source eligibility. All eligible sources of evidence will be extracted, charted and evaluated using the Template for Intervention Description and Replication checklist. A pilot logic model categorising and mapping interventions to the four stages of the hypertension care cascade will be visually presented and analysed using narrative synthesis.
No primary data will be collected; therefore, ethics approval is not required. Findings will be disseminated to local health authorities in Ghana and other African Regions and through national and international conferences and publications in peer-reviewed journals.
Diabetic foot ulcer is a debilitating complication of long-standing diabetes mellitus. Patients lose their earning potential, face repeated hospitalizations, and are forced to bear heavy treatment costs. This places an enormous financial burden on the patients and their families. This study seeks to ascertain the out-of-pocket expenditure among these patients and correlate it with their risk factor profile. In this hospital-based cross-sectional study, a total of 154 patients with diabetic foot ulcers or amputations have been studied with an elaborate patient questionnaire and relevant clinical examinations. The costs incurred and the risk factors of the patients were analyzed for statistical association. The median total annual out-of-pocket expenditure for the management of diabetic foot ulcers among the study participants was found to be ₹29 775 (₹9650–₹81 120) ($378.14 [$122.56–$1030.22]). Out of the total expenditure, 58.49% went towards direct medical costs, 5.64% towards direct non-medical costs, and 35.88% for indirect costs. Medications, ulcer dressing and periodic debridement have accounted for 79.26% of direct medical costs. Transportation (61.37%) and patient's loss of income (89.45%) account for the major costs under the direct non-medical and indirect cost categories, respectively. A high ulcer grade and area, long ulcer duration, and past history of ulcers have higher expenditure. Patients seeking treatment from private establishments and those engaged in professional/skilled occupations have higher expenses. Adequate dressing of foot ulcers and proper footwear are associated with lower treatment expenditure. 68.8% of the participants have faced catastrophic expenditure due to treatment costs of diabetic foot ulcers. Adequate glycaemic control and proper foot care are necessary. Patients must seek medical care at the earliest in case of foot ulceration. Clinicians must provide proper wound care, institute effective antibiotics, and manage the complications. Government and insurance schemes are required to alleviate the patients' financial burden.
The aim of this study was to explore the barriers and facilitators faced by clinical academics (CAs) in the Greater Manchester region, with particular attention to the experiences of minoritised groups.
A qualitative study using semistructured interviews and focus groups was conducted. A reflexive thematic analysis was applied to identify key themes.
University of Manchester and National Health Service Trusts in the Greater Manchester region.
The sample of this study was composed of 43 participants, including CAs, senior stakeholders, clinicians and medical and dental students.
Six themes were identified. CAs face several barriers and facilitators, some of which—(1) funding insecurity and (2) high workload between the clinic and academia—are common to all the CAs. Other barriers, including (3) discrimination that translates into struggles with self-worth and feeling of not belonging, (4) being or being perceived as foreign and (5) unequal distribution of care duties, particularly affect people from minoritised groups. In contrast, (6) mentorship was commonly identified as one of the most important facilitators.
Cultural and structural interventions are needed, such as introducing financial support for early career CAs and intercalating healthcare students to promote wider social and cultural change and increase the feelings of belonging and representation across the entire CA pipeline.
Conventional prediction models fail to integrate the constantly evolving nature of critical illness. Alternative modelling approaches to study dynamic changes in critical illness progression are needed. We compare static risk prediction models to dynamic probabilistic models in early critical illness.
We developed models to simulate disease trajectories of critically ill COVID-19 patients across different disease states. Eighty per cent of cases were randomly assigned to a training and 20% of the cases were used as a validation cohort. Conventional risk prediction models were developed to analyse different disease states for critically ill patients for the first 7 days of intensive care unit (ICU) stay. Daily disease state transitions were modelled using a series of multivariable, multinomial logistic regression models. A probabilistic dynamic systems modelling approach was used to predict disease trajectory over the first 7 days of an ICU admission. Forecast accuracy was assessed and simulated patient clinical trajectories were developed through our algorithm.
We retrospectively studied patients admitted to a Cleveland Clinic Healthcare System in Ohio, for the treatment of COVID-19 from March 2020 to December 2022.
5241 patients were included in the analysis. For ICU days 2–7, the static (conventional) modelling approach, the accuracy of the models steadily decreased as a function of time, with area under the curve (AUC) for each health state below 0.8. But the dynamic forecasting approach improved its ability to predict as a function of time. AUC for the dynamic forecasting approach were all above 0.90 for ICU days 4–7 for all states.
We demonstrated that modelling critical care outcomes as a dynamic system improved the forecasting accuracy of the disease state. Our model accurately identified different disease conditions and trajectories, with a
by Harikrishnan Vijayakumar Sreelatha, Hamza Palekkodan, Ansar Fasaludeen, Lissy K. Krishnan, Klas S. P. Abelson
Usage and reporting of analgesia in animal models of spinal cord injury (SCI) have been sparse and requires proper attention. The majority of experimental SCI research uses rats as an animal model. This study aimed to probe into the effects of some commonly used regimens with NSAIDs and opioids on well-being of the rats as well as on the functional outcome of the model. This eight-week study used forty-two female Wistar rats (Crl: WI), randomly and equally divided into 6 treatment groups, viz. I) tramadol (5mg/kg) and buprenorphine (0.05mg/kg); II) carprofen (5mg/kg) and buprenorphine (0.05mg/kg); III) carprofen (5mg/kg); IV) meloxicam (1mg/kg) and buprenorphine (0.05mg/kg); V) meloxicam (1mg/kg); and VI) no analgesia (0.5 ml sterile saline). Buprenorphine was administered twice daily whereas other treatments were given once daily for five days post-operatively. Injections were given subcutaneously. All animals underwent dental burr-assisted laminectomy at the T10-T11 vertebra level. A custom-built calibrated spring-loaded 200 kilodynes force deliverer was used to induce severe SCI. Weekly body weight scores, Rat Grimace Scale (RGS), and dark-phase home cage activity were used as markers for well-being. Weekly Basso Beattie and Bresnahan (BBB) scores served as markers for functionality together with Novel Object Recognition test (NOR) at week 8 and terminal histopathology using area of vacuolisation and live neuronal count from the ventral horns of spinal cord. It was concluded that the usage of analgesia improved animal wellbeing while having no effects on the functional aspects of the animal model in comparison to the animals that received no analgesics.People who are insecurely housed and use drugs are disproportionately affected by drug poisonings. Nurses are uniquely positioned to utilize harm reduction strategies to address the needs of the whole person. Needle debris encompasses drug paraphernalia discarded in public spaces. Studying needle debris provides a strategic opportunity to identify where drugs are being used and target public health strategies accordingly.
Our aim in this article is to illustrate how spatial video geonarratives (SVG) combined GPS technology interviews, and videos of locations with needle debris, can elicit valuable data for nursing research.
Using SVG required knowledge of how to collect data wearing cameras and practice sessions were necessary. A Miufly camera worn at waist height on a belt provided the stability to walk while interviewing stakeholders. We wore the cameras and conducted go-along interviews with outreach workers, while filming the built environment. Upon completion of data collection, both the interview and GPS information were analysed using Wordmapper software.
This methodology resulted in data presented uniquely in both a visual map and narrative. These data were richer than if a single modality had been used. These data highlighted specific contextual factors that were related to the location of needle debris, which created opportunities for nursing interventions to support people experiencing vulnerability.
During the COVID-19 pandemic, most essential services experienced some level of disruption. Disruption in LMICs was more severe than in HICs. Early reports suggested that services for maternal and newborn health were disproportionately affected, raising concerns about health equity. Most disruption indicators measure demand-side disruption, or they conflate demand-side and supply-side disruption. There is currently no published guidance on measuring supply-side disruption. The primary objective of this review was to identify methods and approaches used to measure supply-side service disruptions to maternal and newborn health services in the context of COVID-19.
We carried out a systematic review and have created a typology of measurement methods and approaches using narrative synthesis.
We searched MEDLINE, EMBASE and Global Health in January 2023. We also searched the grey literature.
We included empirical studies describing the measurement of supply-side service disruption of maternal and newborn health services in LMICs in the context of COVID-19.
We extracted the aim, method(s), setting, and study outcome(s) from included studies. We synthesised findings by type of measure (ie, provision or quality of services) and methodological approach (ie, qualitative or quantitative).
We identified 28 studies describing 5 approaches to measuring supply-side disruption: (1) cross-sectional surveys of the nature and experience of supply-side disruption, (2) surveys to measure temporal changes in service provision or quality, (3) surveys to create composite disruption scores, (4) surveys of service users to measure receipt of services, and (5) clinical observation of the provision and quality of services.
Our review identified methods and approaches for measuring supply-side service disruption of maternal and newborn health services. These indicators provide important information about the causes and extent of supply-side disruption and provide a useful starting point for developing specific guidance on the measurement of service disruption in LMICs.
by Bushra Sabri, Chakra Budhathoki, Allison M. McFall, Shruti H. Mehta, David D. Celentano, Sunil S. Solomon, Aylur K. Srikrishnan, Santhanam Anand, Canjeevaram K. Vasudevan, Gregory M. Lucas
Lifetime exposures to violence among men who have sex with men (MSM) are associated with multiple psychosocial health risks and can affect engagement and outcomes of HIV treatment. This study a) explored relationships between levels of exposures to violence and HIV care continuum outcomes among MSM living with HIV in India, and b) identified psychosocial correlates of HIV care continuum outcomes among MSM living with HIV and those with lifetime cumulative exposures to violence (CVE). CVE referred to exposures to violence in both childhood and adulthood. This cross-sectional analysis used survey data collected between August 2016 and May 2017 from 1763 men who have sex with men living with HIV across 10 cities in India, using respondent-driven sampling. We found that higher levels of violence exposure were significantly associated with lower awareness of HIV positive status, and lower likelihood of initiating antiretroviral therapy. Compared with MSM living with HIV that had no CVE, those with CVE were more likely to report perpetration of interpersonal violence, alcohol misuse, depressive symptoms, and HIV transmission risk behaviors and to have two to four co-occurring psychosocial problems. In multivariable analysis with the subset of MSM with CVE, psychosocial correlates significantly associated with at least one HIV care continuum outcome were HIV transmission risk behaviors, perpetration of interpersonal violence, depression, and alcohol misuse. The findings highlight the need for integrating care for lifetime violence exposures and associated behavioral problems in HIV care settings for men who have sex with men living with HIV in India.
FreshRSS 