Assessing patient satisfaction among COVID-19 survivors in Northeast India: a cross-sectional study.

Introduction: This study investigates patient satisfaction among COVID-19 survivors in Northeast India, motivated by the unique long-term healthcare needs of survivors and the critical role of patient satisfaction in assessing and enhancing healthcare quality. By focusing on this underexplored region, the research aims to uncover insights that can guide improvements in patient-centered care and healthcare service delivery in similar contexts. Materials and methods: The study was conducted using a Simple Random Sampling technique. Data were collected through telephone interviews using a semi-structured questionnaire, including the Patient Satisfaction Questionnaire-18 (PSQ-18) for analysis. The PSQ-18 yielded seven subscale scores representing different dimensions of patient satisfaction. Statistical analysis using SPSS software was conducted to summarize socio-demographic characteristics, medical history, and patient satisfaction levels, employing both descriptive and inferential statistics. Result: The results indicated a high acceptance of COVID-19 vaccination, with the majority of participants having received both doses. Patient satisfaction with healthcare services is generally positive, particularly in aspects related to doctor-patient communication and medical care quality. However, there are notable concerns regarding the affordability and timeliness of care. Regional variations across states, as well as factors like education and income, significantly influence patient satisfaction levels. Conclusion: The study revealed generally good patient satisfaction levels in Northeast India. However, challenges in healthcare affordability and timeliness persist, influenced by regional disparities and socio-economic factors. Targeted interventions are needed to improve healthcare in the region.

Acceptability and Satisfaction of Patients and Providers With Telemedicine During the COVID-19 Pandemic: A Systematic Review.

COVID-19, also known as coronavirus disease 2019, is an extremely contagious viral sickness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). After the first cases of this primarily respiratory viral illness were recorded in Wuhan, Hubei Province, China, in late December 2019, SARS-CoV-2 rapidly disseminated across the globe. Consequently, on March 11, 2020, the World Health Organization (WHO) declared it a global pandemic. The rapid spread of the COVID-19 virus, coupled with subsequent lockdowns and social distancing measures, profoundly disrupted traditional healthcare delivery systems. Amidst the COVID-19 pandemic, telemedicine emerged as a pivotal solution for delivering healthcare services while minimizing exposure to the virus. This study aims to assess patient and provider satisfaction with telemedicine during this unprecedented period. A systematic literature search was conducted on PubMed and Google Scholar using specific MeSH terms and Preferred Reporting Items for Systematic Literature Reviews and Meta-Analyses (PRISMA) guidelines to summarize patient and provider satisfaction concerning telemedicine using all the facts, evidence, and published literature. The analysis showed that although providers were generally satisfied with telemedicine, they were less satisfied than patients due to technical issues and difficulties transmitting documents. Patients reported high satisfaction with telemedicine, citing convenience and cost savings as major benefits. However, a lack of provider compensation was identified as a potential barrier to adoption. Most providers believed that telemedicine was only necessary in emergencies while a few recognized its potential for routine care. The study concludes that telemedicine has the potential to improve healthcare access and efficiency, but more research is needed to address technical and reimbursement issues and to determine the appropriate scope of telemedicine use. Overall, the findings of this study can inform future healthcare policies and regulations to ensure that telemedicine is used effectively and to the satisfaction of both patients and providers.

Designing and evaluating a Nutritional Assessment and Intervention Kiosk for mother-child dyad to combat double burden of malnutrition.

The study protocol focuses on DBM, proposing a preventive strategy for mother-child pairs that would be accessible, affordable, sustainable, and human-centred. The aim is to guide the development of tools and technologies, passing through stages for gathering a process and presenting health data. The initial stage identifies the rules and models synthesising existing digital interventions combating forms of malnourishment, followed by designing and developing a Nutrition Informatics Intervention, i.e. NAIK. The last stage includes evaluation of the effectiveness and utility of NAIK. The system aims to address malnutrition by assessing different associated elements, with the participants. An SMS system will provide follow-up assistance. Overall, this study is an amalgamation of technology, data collection, personalised interventions, growth monitoring, and education to address malnutrition effectively by promoting positive health-behaviours within the community. So, a computerised health kiosk will help provide preventive strategies from the healthcare professional, especially in circumstances requiring immediate attention.

Emerging Role of Plant-Based Bioactive Compounds as Therapeutics in Parkinson's Disease.

Neurological ailments, including stroke, Alzheimer's disease (AD), epilepsy, Parkinson's disease (PD), and other related diseases, have affected around 1 billion people globally to date. PD stands second among the common neurodegenerative diseases caused as a result of dopaminergic neuron loss in the midbrain's substantia nigra regions. It affects cognitive and motor activities, resulting in tremors during rest, slow movement, and muscle stiffness. There are various traditional approaches for the management of PD, but they provide only symptomatic relief. Thus, a survey for finding new biomolecules or substances exhibiting the therapeutic potential to patients with PD is the main focus of present-day research. Medicinal plants, herbal formulations, and natural bioactive molecules have been gaining much more attention in recent years as synthetic molecules orchestrate a number of undesired effects. Several in vitro, in vivo, and in silico studies in the recent past have demonstrated the therapeutic potential of medicinal plants, herbal formulations, and plant-based bioactives. Among the plant-based bioactives, polyphenols, terpenes, and alkaloids are of particular interest due to their potent anti-inflammatory, antioxidant, and brain-health-promoting properties. Further, there are no concise, elaborated articles comprising updated mechanism-of-action-based reviews of the published literature on potent, recently investigated (2019-2023) medicinal plants, herbal formulations, and plant based-bioactive molecules, including polyphenols, terpenes, and alkaloids, as a method for the management of PD. Therefore, we designed the current review to provide an illustration of the efficacious role of various medicinal plants, herbal formulations, and bioactives (polyphenols, terpenes, and alkaloids) that can become potential therapeutics against PD with greater specificity, target approachability, bioavailability, and safety to the host. This information can be further utilized in the future to develop several value-added formulations and nutraceutical products to achieve the desired safety and efficacy for the management of PD.

Development of an Artificial Intelligence-Guided Citizen-Centric Predictive Model for the Uptake of Maternal Health Services Among Pregnant Women Living in Urban Slum Settings in India: Protocol for a Cross-sectional Study With a Mixed Methods Design.

BACKGROUND: Pregnant women are considered a "high-risk" group with limited access to health facilities in urban slums in India. Barriers to using health services appropriately may lead to maternal and child mortality, morbidity, low birth weight, and children with stunted growth. With the increase in the use of artificial intelligence (AI) and machine learning in the health sector, we plan to develop a predictive model that can enable substantial uptake of maternal health services and improvements in adverse pregnancy health care outcomes from early diagnostics to treatment in urban slum settings. OBJECTIVE: The objective of our study is to develop and evaluate the AI-guided citizen-centric platform that will support the uptake of maternal health services among pregnant women seeking antenatal care living in urban slum settings. METHODS: We will conduct a cross-sectional study using a mixed methods approach to enroll 225 pregnant women aged 18-44 years, living in the urban slums of Delhi for more than 6 months, seeking antenatal care, and who have smartphones. Quantitative and qualitative data will be collected using an Open Data Kit Android-based tool. Variables gathered will include sociodemographics, clinical history, pregnancy history, dietary history, COVID-19 history, health care facility data, socioeconomic status, and pregnancy outcomes. All data gathered will be aggregated into a common database. We will use AI to predict the early at-risk pregnancy outcomes (in terms of the type of delivery method, term, and related complications) depending on the needs of the beneficiaries translating into effective service-delivery improvements in enhancing the use of maternal health services among pregnant women seeking antenatal care. The proposed research will help policy makers to prioritize resource planning, resource allocation, and the development of programs and policies to enhance maternal health outcomes. The academic research study has received ethical approval from the University Research Ethics Committee of Dehradun Institute of Technology (DIT) University, Dehradun, India. RESULTS: The study was approved by the University Research Ethics Committee of DIT University, Dehradun, on July 4, 2021. Enrollment of the eligible participants will begin by April 2022 followed by the development of the predictive model by October 2022 till January 2023. The proposed AI-guided citizen-centric tool will be designed, developed, implemented, and evaluated using principles of human-centered design that will help to predict early at-risk pregnancy outcomes. CONCLUSIONS: The proposed internet-enabled AI-guided prediction model will help identify the potential risk associated with pregnancies and enhance the uptake of maternal health services among those seeking antenatal care for safer deliveries. We will explore the scalability of the proposed platform up to different geographic locations for adoption for similar and other health conditions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/35452.

Insight on Cardiac Chronobiology and Latest Developments of Chronotherapeutic Antihypertensive Interventions for Better Clinical Outcomes.

Cardiac circadian rhythms are an important regulator of body functions, including cardiac activities and blood pressure. Disturbance of circadian rhythm is known to trigger and aggravate various cardiovascular diseases. Thus, modulating the circadian rhythm can be used as a therapeutic approach to cardiovascular diseases. Through this work, we intend to discuss the current understanding of cardiac circadian rhythms, in terms of quantifiable parameters like BP and HR. We also elaborate on the molecular regulators and the molecular cascades along with their specific genetic aspects involved in modulating circadian rhythms, with specific reference to cardiovascular health and cardiovascular diseases. Along with this, we also presented the latest pharmacogenomic and metabolomics markers involved in chronobiological control of the cardiovascular system along with their possible utility in cardiovascular disease diagnosis and therapeutics. Finally, we reviewed the current expert opinions on chronotherapeutic approaches for utilizing the conventional as well as the new pharmacological molecules for antihypertensive chronotherapy.

A Scoping Review on Long COVID-19: Physiological and Psychological Symptoms Post-Acute, Long-Post and Persistent Post COVID-19.

Background: The identification of persistent symptoms of chronic/long COVID-19 is crucial in understanding the management of long haulers of post COVID-19. Methods: Pub Med (Medline) database was scoped for original articles based on a search strategy related to the objectives. The selected articles post-screening were analyzed for variables relating to chronic/long COVID-19. Results were analyzed using descriptive statistics. Results: A total of 33 studies were reviewed. A total of 60% of the studies were observational studies and most of them were from high income countries. Almost half of the studies were in phase 3 of post-COVID-19, i.e., symptoms lasting >24 weeks. Among the physiological and psychological symptoms studied, fatigue, dyspnea, cough, headache, memory loss, depression, brain fog and lack of concentration were found to be the most frequently reported symptoms. Excessive sleep, constipation and neuropathic pain were among the least reported symptoms. Prior hospitalization, the female gender was found to be a risk factor. Limitations were reported by all studies. Conclusions: The major physiological and psychological symptoms of long COVID-19 have been explained with risk factors and its impact on patients' lifestyles. The findings of this review hope to facilitate clinicians to draw conclusions to manage the long-term effects of post/chronic COVID-19.

Prospective for Diagnosis and Treatment of Diabetic Retinopathy.

Diabetic retinopathy is a posterior eye disorder in which damage occurs to the light sensitive retina due to diabetes mellitus. This disorder specifically affects people aged between 18-64 with type ІІ diabetes. This disease progresses through different pathophysiological pathways, which include oxidative stress, inflammation, stimulation of the growth factor in the eye's vasculature, isoforms of protein kinase C, and also the activation of the hexosamine pathway. It starts as micro aneurysms and advances in complicated stage, which results in retinal detachment. Treatment of posterior eye diseases has complications due to the structural design of the eye and physiological barriers present. The current treatment approach involves the use of intravitreal anti- VEGFs, corticosteroids implants, laser and surgery; these treatment methods have drawbacks attributed to them despite their benefits. The development of a robust delivery system with minimal or no invasion to tackle the issues of diabetic retinopathy will be of considerable benefit to patients having diabetic retinopathy; the dependency on ophthalmologists for multiple injections will significantly reduce and provide a promising approach in drug delivery. In this review article, the authors provided information related to existing treatment methods available for diabetic retinopathy, the most significant among which is nanotechnology approach through which local delivery via the ocular route to posterior eye can be achieved. It also possesses the various carriers studied for the non-invasive approach for retinal delivery of medicaments. Non-invasive approach for delivery of drugs can be considered as potential for the treatment of diabetic retinopathy.

Cassia tora Linn Cream Inhibits Ultraviolet-B-Induced Psoriasis in Rats.

The aim of present study was to determine the antipsoriatic activity of newly formulated O/W creams of methanolic extract of Cassia tora L. leaves by using ultraviolet-B-induced psoriasis in rat. The plant Cassia tora L. is traditionally claimed to be useful in the treatment of a number of skin diseases. However, there are no established scientific reports for its antipsoriatic activity. Methanolic Cassia tora L. leaves extract was used to prepare various concentrations of O/W creams and tested for acute dermal toxicity study. The different O/W creams showed good physical characteristics and passed the sensitivity, irritation, grittiness and bleeding test. The results of acute dermal toxicity showed that the creams were safe up to the dose of 2000 mg/kg. In case of psoriasis model, histopathological analysis revealed that there were absence of Munro's microabscess, elongation of rete ridges, and capillary loop dilation in the section in Test 2 (0.1%) and standard group. O/W creams and methanolic extract of Cassia tora L. leaves exhibited significant reduction in percentage of relative epidermal thickness and spleen index as compared to positive control. We concluded that topical O/W creams and crude extract containing methanolic extract of Cassia tora L. leaves have potent antipsoriatic activity in ultraviolet-B-induced psoriasis in rat.

Anti-inflammatory, analgesic and antipyretic activity of methanolic Tecomaria capensis leaves extract.

OBJECTIVE: To evaluate the analgesic, anti-inflammatory and antipyretic activity of methanolic Tecomaria capensis (T. capensis) leaves extract using different models in rats. METHODS: Methanolic T. capensis leaves extract (100, 300, 1000 and 2000 mg/kg body weight) was given to rats orally to observe acute toxicity, and observed for 14 days. Analgesic activity was evaluated using tail immersion and formalin induced paw licking models in rats. Anti-inflammatory activity was evaluated using carrageenan induced paw edema model in rats. Antipyretic activity was evaluated using brewer's yeast induced pyrexia model in rats. Methanolic T. capensis leaves extract were given at dose of 100, 200 and 500 mg/kg p.o. RESULTS: Results demonstrated that the no mortality was reported even after 14 days. This indicated that the methanol extract was safe up to a single dose of 2 000 mg/kg body weight. Methanolic T. capensis leaves extract (100, 200 and 500 mg/kg p.o.) significantly increased the latency period in the tail immersion test, reduced the licking time in both the neurogenic and inflammatory phases in the formalin test. Methanolic T. capensis leaves extract (100, 200 and 500 mg/kg p.o.) significantly prevented increase in volume of paw edema. Methanolic T. capensis leaves extract at the doses of (100, 200 and 500 mg/kg p.o.) significantly decreased the rectal temperature of the rats. CONCLUSIONS: This study exhibites that methanolic T. capensis leaves extract possesses analgesic, anti-inflammatory and antipyretic activity which may be mediated by the central and peripheral mechanisms.

Leaves extract of murraya koenigii linn for anti-inflammatory and analgesic activity in animal models.

This work has been done for the investigation of the anti-inflammatory and analgesic activity of methanol extract of dried leaves of Murraya koenigii Linn by oral administration at dose of 100, 200 and 400 mg/kg body weight, to healthy animals. Extract was studied for its anti-inflammatory activity by using carrageenan-induced hind paw edema in albino rats and the mean increase in paw volume and % inhibition in paw volume were measured plethysmometrically at different time intervals after carrageenan (1% w/v) injection. Extract was also evaluated for analgesic activity using Eddy's hot plate method and formalin induced paw licking method in albino rats. The methanol extract showed significant (P < 0.001) reduction in the carrageenan-induced paw edema and analgesic activity evidenced by increase in the reaction time by eddy's hot plate method and percentage increase in pain in formalin test. The methanol extract showed anti-inflammatory and analgesic effect in dose dependent manner when compared with the control and standard drug, diclofenac sodium (10mg/kg, p.o). These inhibitions were statistically significant (P < 0.05). Thus our investigation suggests a potential benefit of Murraya koenigii in treating conditions associated with inflammatory pain.