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Over the past few decades, the global healthcare community has achieved remarkable success in controlling many communicable diseases across various regions. However, non-communicable diseases now constitute a significant portion of disease morbidity and mortality, particularly in low- and middle-income countries (LMICs). Among these, cancer, in particular, is witnessing a notable increase in incidence in many LMICs. Among cancers, neurological tumours bear significant impact in terms of long-term disability, escalating costs of comprehensive multidisciplinary care, and often encounter resource-related and systemic delays in care leading to worse outcomes. This opinion paper discusses key concepts in developing global neuro-oncology care, with specific case examples from Pakistan to illustrate methods for improving care in these underserved regions. Additionally, it outlines strategic approaches and potential solutions to address these challenges, aiming to provide a roadmap for enhancing neuro-oncology care in LMICs.

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Background: India is undergoing epidemiological transitions with the increase in noncommunicable disease (NCD) burden. Targeting the modifiable risk factors through lifestyle changes in the early years of life remains the most effective strategy for decreasing the prevalence of type 2 diabetes mellitus (T2DM). To determine the association between cigarette smoking and T2DM. Materials and Methods: An analytical cross-sectional study was conducted among the patients attending the outpatient department of a tertiary care teaching hospital in Kolkata, West Bengal, India. Patients aged more than 35 years were enrolled, and details regarding sociodemography, clinical status, and NCD risk factors were collected using pretested semistructured questionnaires after obtaining IEC approval. Data collected were entered in MS Excel and analyzed using SPSS software. Simple logistic regression and multivariable logistic regression analysis were used to calculate the crude and adjusted odds ratio with 95% confidence interval. Results: Out of 434 participants, 37.3% had diabetes mellitus, 51.6% were males, and 28.6% had alcohol consumption. Univariate logistic regression analysis revealed age, BMI, systolic BP, diastolic BP, and cigarette smoking were significantly associated with increased risk of T2DM. Multivariable logistic regression analysis revealed cigarette smoking, systolic BP, age, and female gender were significant risk factors for T2DM. Conclusions: Our study reported cigarette smoking and systolic BP are modifiable risk factors associated with T2DM. Early identification of smoking through screening and appropriate control of hypertension in T2DM patients will decrease the morbidities and mortalities in T2DM cases.

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The risk behaviors underlying the most prevalent chronic noncommunicable diseases (NCDs) encompass alcohol misuse, unhealthy diets, smoking and sedentary lifestyle behaviors. These are all linked to the altered function of the mesocorticolimbic (MCL) system. As the mesocorticolimbic circuit is central to the reward pathway and is involved in risk behaviors and mental disorders, we set out to test the hypothesis that these pathologies may be approached therapeutically as a group. To address these questions, the identification of novel targets by exploiting knowledge-based, network-based and disease similarity algorithms in two major Thomson Reuters databases (MetaBase™, a database of manually annotated protein interactions and biological pathways, and IntegritySM, a unique knowledge solution integrating biological, chemical and pharmacological data) was performed. Each approach scored proteins from a particular approach-specific standpoint, followed by integration of the scores by machine learning techniques yielding an integrated score for final target prioritization. Machine learning identified characteristic patterns of the already known targets (control targets) with high accuracy (area under curve of the receiver operator curve was ~93%). The analysis resulted in a prioritized list of 250 targets for MCL disorders, many of which are well established targets for the mesocorticolimbic circuit e.g., dopamine receptors, monoamino oxidases and serotonin receptors, whereas emerging targets included DPP4, PPARG, NOS1, ACE, ARB1, CREB1, POMC and diverse voltage-gated Ca2+ channels. Our findings support the hypothesis that disorders involving the mesocorticolimbic circuit may share key molecular pathology aspects and may be causally linked to NCDs, yielding novel targets for drug repurposing and personalized medicine.

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The growing financial burden of noncommunicable diseases (NCDs) in sub-Saharan Africa (SSA) hinders the attainment of the sustainable development goals. However, there has been no updated synthesis of evidence in this regard. Therefore, our study summarizes the current evidence in the literature and identifies the gaps. We systematically search relevant databases (PubMed, Scopus, ProQuest) between 2015 and 2023, focusing on empirical studies on NCDs and their financial burden indicators, namely, catastrophic health expenditure (CHE), impoverishment, coping strategies, crowding-out effects and unmet needs for financial reasons (UNFRs) in SSA. We examined the distribution of the indicators, their magnitudes, methodological approaches and the depth of analysis. The 71 included studies mostly came from single-country (n = 64), facility-based (n = 52) research in low-income (n = 22), lower-middle-income (n = 47) and upper-middle-income (n = 10) countries in SSA. Approximately 50% of the countries lacked studies (n = 25), with 46% coming from West Africa. Cancer, cardiovascular disease (CVD) and diabetes were the most commonly studied NCDs, with cancer and CVD causing the most financial burden. The review revealed methodological deficiencies related to lack of depth, equity analysis and robustness. CHE was high (up to 95.2%) in lower-middle-income countries but low in low-income and upper-middle-income countries. UNFR was almost 100% in both low-income and lower-middle-income countries. The use of extreme coping strategies was most common in low-income countries. There are no studies on crowding-out effect and pandemic-related UNFR. This study underscores the importance of expanded research that refines the methodological estimation of the financial burden of NCDs in SSA for equity implications and policy recommendations.

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Background: The government-led community-based Chinese National Integrated Demonstration Areas for the Prevention and Control of Noncommunicable Diseases programme was launched in 2011, but no rigorous impact evaluation has been conducted to date. We aimed to evaluate the causal effects of this programme on behavioural risk factors. Methods: We used data from the latest five waves of the China Chronic Disease and Risk Factor Surveillance. The primary outcome is a behavioural risk score combining current smoking, passive smoking, drinking in last month, regular exercise, body mass index, and waist circumference. We applied the synthetic difference-in-differences method and constructed synthetic controls from the non-demonstration areas with the outcome. The average treatment effects on the treated were estimated for overall effect and by short- (1-2), medium- (3-4), and long-term (6-7 years) effects. Findings: We identified 26 demonstration areas (N = 72,193) and 100 non-demonstration areas (N = 275,397). Participants in the demonstration areas had higher education and income levels and different pre-implementation trends than non-demonstration areas. Using synthetic controls instead of non-demonstration areas reduced these pre-implementation differences. Compared to the synthetic controls, declines were observed in current smoking (-1.78% [-4.51%, 0.96%]), passive smoking (-8.09% [-14.27%, -1.90%]), and drinking in last month (-4.04% [-8.75%, 0.67%]) but not in the other factors. Behavioural risk score declined by 1.05 short-term (95% CI: -1.84, -0.26), 1.15 medium-term (95% CI: -2.08, -0.22), 2.82 long-term (95% CI: -4.79, -0.85), and 1.54 overall (95% CI: -2.51, -0.56). Interpretation: The programme improved behavioural risk scores, primarily through reductions in the prevalence of smoking and drinking, and the effect was long-lasting. Our findings provided empirical evidence for utilizing an integrated prevention and control strategy to fight against NCD in China and other countries facing similar challenges. Funding: The China National Key Research and Development Program (2018YFC1315304 and 2017YFC1310902); National Natural Science Foundation of China (81872721).

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BACKGROUND: There have been concerns about the potential cardiovascular (CV) adverse effects associated with methylphenidate (MTH) use. However, only limited evidence exists on the long-term safety of MTH. OBJECTIVE: To evaluate whether MTH use is associated with long-term CV risk. METHODS: This was a retrospective cohort study using 2003-2017 data from the Health and Welfare Database in Taiwan. Patients newly diagnosed with attention deficit and hyperactivity disorder (ADHD) and between 3 and 18 years of age were included. Two treatment statuses were assessed: initial treatment ≥7 days and ≥180 days. Patients treated with MTH were compared with those receiving non-medication therapy. One-to-one propensity score matching was used to balance between-group differences. Study outcomes included major CV events, chronic CV disease, cardiogenic shock and all-cause mortality. Cox proportional hazard models were used to estimate HRs between the two groups. RESULTS: We began with 307 459 patients with ADHD. After exclusion, 224 732 patients were included in the final cohort. The results showed that compared with non-ADHD medication users, patients who were treated with MTH for more than 7 days had a similar risk of major CV events (HR 0.85, 95% CI 0.72 to 0.99; p=0.040). Identical trends were found in groups who were treated for more than 180 days (HR 0.83, 95% CI 0.69 to 1.00; p=0.050). The results of the sensitivity analyses were consistent with the main analyses across all groups and individual outcomes. CONCLUSION: Short-term MTH use did not increase CV risk among patients with ADHD. More evidence on long-term MTH use and risk of cardiogenic shock and death is warranted.

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BACKGROUND: In 2011, physical inactivity was described as the Cinderella risk factor for noncommunicable diseases. This metaphor was used to highlight the disjunct between the advancing evidence on physical inactivity as a risk factor for ill health, its high prevalence, and the paucity of global policy response or priority afforded to physical activity. This paper describes the strategic actions of the International Society for Physical Activity and Health (ISPAH) to raise the profile of physical activity as a global public health priority. METHODS: From 2008, ISPAH coordinated a long-term advocacy strategy to advance the status of physical activity and promote its presence as a priority within global health policy. The society employed an advocacy mix that reflected contemporary advocacy theory and models. RESULTS: Through 6 advocacy deliverables, aligned to the global calendar of United Nations and World Health Organization policy developments, ISPAH seized the opportunity to advance physical activity policy and strategies to inform global noncommunicable disease action planning and align with the Sustainable Development Goals. ISPAH's successful execution of global advocacy for physical activity highlights the importance of leadership, clear objectives, progressive action, timeliness, partnerships, and persistence. CONCLUSION: As a result of strategic global advocacy since 2008, the field in 2024 is better positioned in relation to global professional mobilization, policy, and technical support for physical activity. However, despite impressive progress across more than 12 years, and the innovation of the Global Action Plan on Physical Activity, the work of global advocacy for physical activity is far from complete.

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BACKGROUND: The incidence of chronic diseases, which are significant contributors to maternal deaths and adverse new-born outcomes, is increasing among women of reproductive age in northern Ghana. This emerging health issue raises serious concerns about the potential exacerbation of adverse birth outcomes in this setting, given that it is one of the regions in the country with a high incidence of such outcomes. We investigated the risks of preterm birth (PTB), low birth weight (LBW), and concurrent PTB and LBW among women with preexisting chronic conditions prior to conception in the Tamale Metropolis of northern Ghana. METHODS: A facility-based cross-sectional study was conducted among 420 postpartum women randomly selected from five public health facilities. Information was collected electronically on participants' self-reported experience of chronic conditions, namely, hypertension, diabetes, asthma, heart disease, and sickle cell disease, prior to their most recent pregnancy. Information on gestational age at delivery and birth weight was also collected. Regression modeling was used to quantify the risk of adverse newborn outcomes among women who reported preexisting chronic conditions prior to pregnancy. RESULTS: Chronic diseases affected 31.2% of our sample. Of these, 28.6% had a single chronic condition, while 2.6% had comorbid chronic conditions. The prevalence of PTB was 24.0% (95% CI: 20.2, 28.4), 27.6% (95% CI: 23.5, 32.1) of the newborns were born LBW, and 17.4% (95% CI: 14.0, 21.3) of the pregnancies resulted in both PTB and LBW. Compared with those without chronic conditions, women with chronic conditions prior to conception had a greater risk of PTB (aOR = 6.78, 95% CI: 3.36, 13.68), LBW (aOR = 5.75, 95% CI: 2.96, 11.18), and the co-occurrence of PTB and LBW (aOR = 7.55, 95% CI: 3.32, 17.18). CONCLUSIONS: We observed significant rates of PTB, LBW, and the co-occurrence of PTB and LBW among women who were already aware that they had preexisting chronic conditions prior to conception. Our findings highlight a potential gap in the quality of prenatal care provided to these women before delivery. Preconception care may offer an opportunity to address preexisting chronic conditions in women before pregnancy and potentially improve maternal and newborn health outcomes.

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INTRODUCTION: Ambient fine particulate matter pollution with a diameter less than 2.5 micrometers (PM2.5) is a significant risk factor for chronic noncommunicable diseases (NCDs), leading to a substantial disease burden, decreased quality of life, and deaths globally. This study aimed to investigate the disease and mortality burdens attributed to PM2.5 in Germany in 2019. METHODS: Data from the Global Burden of Disease (GBD) Study 2019 were used to investigate disability-adjusted life-years (DALYs), years of life lost (YLLs), years lived with disability (YLDs), and deaths attributed to ambient PM2.5 pollution in Germany. RESULTS: In 2019, ambient PM2.5 pollution in Germany was associated with significant health impacts, contributing to 27,040 deaths (2.82% of total deaths), 568,784 DALYs (2.09% of total DALYs), 135,725 YLDs (1.09% of total YLDs), and 433,058 YLLs (2.92% of total YLLs). The analysis further revealed that cardiometabolic and respiratory conditions, such as ischemic heart disease, stroke, chronic obstructive pulmonary disease, lung cancer, and diabetes mellitus, were the leading causes of mortality and disease burden associated with ambient PM2.5 pollution in Germany from 1990-2019. Comparative assessments between 1990 and 2019 underscored ambient PM2.5 as a consistent prominent risk factor, ranking closely with traditional factors like smoking, arterial hypertension, and alcohol use contributing to deaths, DALYs, YLDs, and YLLs. CONCLUSION: Ambient PM2.5 pollution is one of the major health risk factors contributing significantly to the burden of disease and mortality in Germany, emphasizing the urgent need for targeted interventions to address its substantial contribution to chronic NCDs.

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Using simulated patients to mimic 9 established noncommunicable and infectious diseases, we assessed ChatGPT's performance in treatment recommendations for common diseases in low- and middle-income countries. ChatGPT had a high level of accuracy in both correct diagnoses (20/27, 74%) and medication prescriptions (22/27, 82%) but a concerning level of unnecessary or harmful medications (23/27, 85%) even with correct diagnoses. ChatGPT performed better in managing noncommunicable diseases than infectious ones. These results highlight the need for cautious AI integration in health care systems to ensure quality and safety.

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Africa's dual burden of rising incidence of infectious diseases and increasing prevalence of non-communicable diseases (NCDs), such as cardiovascular diseases and diabetes, demands innovative approaches to disease surveillance, response, and cross-border health management in response to growing economic integration and global connectivity. In this context, we propose a discursive framework for the development and implementation of a multi-disease digital health passport (MDDHP) in Africa. The MDDHP would serve as a secure platform for storing and sharing individual health data, offering a comprehensive solution to track and respond to infectious diseases, facilitate the management of NCDs, and improve healthcare access across borders. Empowering individuals to proactively manage their health and improve overall outcomes is a key aspect of the MDDHP. In the paper, we examine the key elements necessary to effectively implement MDDHP, focusing on minimizing risks, maintaining efficacy, and driving its adoption while also taking into consideration the unique contexts of the continent. The paper is intended to provide an understanding of the key principles involved and contribute to the discussion on the development and successful implementation of MDDHP in Africa.

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Industrially produced trans fat (iTFA) is a harmful compound created as a substitute for animal and saturated fats. Estimated to cause up to 500,000 deaths per year, it is replaceable. In 2018, Resolve to Save Lives, the World Health Organization (WHO), Global Health Advocacy Incubator, and NCD Alliance partnered to achieve global trans fat elimination. The WHO Director-General called for the elimination of trans fat by 2023 through best practice policies outlined in the WHO REPLACE package. Since the accelerated global efforts in 2018, 43 countries have adopted best practice regulations protecting an additional 3.2 billion people and building momentum toward global elimination. Current coverage will prevent 66% of deaths estimated to be caused each year by trans fat in foods. Despite producing and selling iTFA-free products in many countries, companies continue to sell iTFA-containing products in unregulated markets. Global incentives, accountability mechanisms, and regional policies will help achieve the elimination goal.

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Despite higher income and education, there are profound health disparities among Asian Americans. These disparities are highlighted in particular by screening behaviors for cancer. Between 1998 and 2008, cancer rates increased threefold among Indian Americans, raising concern that cancer screening in this group may be especially low. To better understand cancer screening behavior, we collected data from a total of 157 self-identifying Indian Americans residing in the greater Philadelphia area. Nearly all participants reported having health insurance (98.7%), and most had received a physical exam within a year (87.3%). Only17.4% of the participants were referred for mammography, while 30% of participants over age 30 were referred for ovarian cancer screening. Just 4 participants were recommended for pancreatic cancer screening. The findings contribute new information to the understanding of health needs of Indian Americans residing in the greater Philadelphia region and reveal a need for greater focus on preventive care.

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We assessed the accessibility to health care services and treatment for people with noncommunicable diseases (NCDs) in Northwest Syria after more than eleven years of the worst humanitarian crisis in Syria. Included in this cross-sectional study were people with one or more of cardiovascular diseases, diabetes, cancer, or chronic obstructive pulmonary diseases; people from both Aleppo and Idleb governorates; and residents from both inside and outside the camp. Data were collected in November 2022 via face-to-face interviews. The findings were obtained from 674 respondents (52.8% female). Respondents in Idleb were 6.5 times more likely to access health care services than Aleppo (p = 0000). In-camp residents were 1.5 times more likely to access outreach health services (p = 0.020). Respondents with higher income were three times more likely to access health care services compared to respondents with lower income (p = 0.000). Having any of the surveyed NCDs made the respondents less likely to get the required services. The study findings added more evidence about the inequity in terms of accessing health care services in Northwest Syria and identified the barriers. It was clear that a perceived group of people with NCDs do not have access to the health care services, including outreach health services and free medications.

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Objectives: This study aims to assess access to essential medicines used in the management of noncommunicable diseases through analysis of the availability, prices, and affordability of these essential medicines in Arba Minch town, Gamo Zone, Southern Ethiopia. Methods: A cross-sectional design was carried out using the World Health Organization/health action international methodology between 2 March and 2 May 2023, within public and private healthcare facilities located in Arba Minch town, Southern Ethiopia. The median price ratio served as a metric. Statistical tests like the Shapiro-Wilk and Kolmogorov-Smirnov were utilized to assess the normal distribution of price data. The Wilcoxon-Mann-Whitney U test was also employed to compare median buyer's prices (patient prices) between public and private healthcare institutions. Treatment affordability was determined by estimating the number of days' wages required by the lowest-paid government employee in Ethiopia to afford the prescribed medication regimen. Results: Among 23 health facilities surveyed, the pooled availability of essential medicine used in the management of noncommunicable diseases was 18.7% (range: 0%-30.1%), with the public and private facilities contributing 16.3% and 38.3%, respectively. The overall percentage of availability originator brand versions was 1.1% for overall health sectors, 0.6% for public sectors, and 1.2% for private sectors. The overall percent availability of lowest price generics was 36.2% (range: 0%-26.2%; public: 32.0%; private: 37.1%). Only seven lowest price generics satisfied the World Health Organization target of 80% and above. The overall median price of lowest price generic medicines in private was two times higher than in public sectors. The top five median price scorers were amlodipine, furosemide, insulin, beclomethasone, and salbutamol. The Mann-Whitney U test showed that 11.6% of lowest price generics medicines had a statistically significant median price disparity between the public and private sectors (p < 0.05). The overall percent of unaffordability was found to be 100.0%, (public: 70.4; private: 100.0%). Conclusions: This study revealed the limited availability and potential financial burdens on patients seeking essential noncommunicable disease medications. Limited availability suggests the need for better supply chain management and consistent stock availability. The price disparities and affordability challenges identified underscore the necessity for policy interventions such as price regulation and subsidized programs to ensure equitable access to essential noncommunicable disease medications in Arba Minch town, Southern Ethiopia.

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Various indicators exist to assess the threat of chronic diseases. This paper presents new ones to evaluate the role of aging and non-aging factors for predicting threats from major chronic diseases. Age at zero mortality (AM0) and age at average mortality (AMa) can be calculated by regressing age and mortality (the intercept indicates AM0, the slope indicates the observed slope and r indicates random non-aging factors). A regression equation can be created using AMa at the age of 72 and mortality at the age of 82; thus, the expected slope can be obtained for the aging factor without considering non-aging factors. It is possible to distinguish between aging and non-aging factors using the observed and expected slopes, which should be multiplied by r to produce an index of aging (IA). The lower the AM0, AMa or IA of a disease is, the greater the threat it poses to a population. The AM0 and IA were calculated using data from China (2004 and 2019) for various diseases [cancer, heart disease (HD), cerebrovascular disease (CVD), and chronic obstructive pulmonary disease (COPD)]. We found the severity of threat was highest for cancer, CVD, other chronic diseases, HD and COPD in descending order in 2019. The results suggest that changes in threats may be related to socioeconomic development. Cancer was found to be the greatest threat to younger age groups, with IA<0.5, suggesting that non-aging risk factors may play an important role in cancers. Conversely, aging may play an important role in other chronic diseases, including HD, CVD, and COPD. Compared to 2004, the AM0 of cancer showed the greatest change. In conclusions, the different indicators explain different aspects of the problem and it would be beneficial to conduct in-depth research on the theoretical basis for the association of threats of disease with socioeconomic development in order to develop prevention and control strategies.

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Vegetarian diets are plant-based diets including all the edible foods from the Plant Kingdom, such as grains, legumes, vegetables, fruits, nuts, and seeds. Dairy and eggs can be added in small amounts in the lacto-ovo-vegetarian subtype, or not at all in the vegan subtype. The abundance of non-processed plant foods-typical of all well-planned diets, including vegetarian ones-can provide the body with numerous protective factors (fiber, phytocompounds), while limiting the intake of harmful nutrients like saturated fats, heme-iron, and cholesterol. The beneficial effects on health of this balance have been reported for many main chronic diseases, in both observational and intervention studies. The scientific literature indicates that vegetarians have a lower risk of certain types of cancer, overall cancer, overweight-obesity, type 2 diabetes, dyslipidemia, hypertension, and vascular diseases. Since the trend of following a vegetarian diet is increasing among citizens of developed countries, the knowledge in the field will benefit from further studies confirming the consistency of these findings and clarifying the effects of vegetarian diets on other controversial topics.

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Responding to the rising global prevalence of noncommunicable diseases (NCDs) requires improvements in the management of high blood pressure. Therefore, this study aims to develop an explainable machine learning model for predicting high blood pressure, a key NCD risk factor, using data from the STEPwise approach to NCD risk factor surveillance (STEPS) surveys. Nationally representative samples of adults aged 18-69 years were acquired from 57 countries spanning six World Health Organization (WHO) regions. Data harmonization and processing were performed to standardize the selected predictors and synchronize features across countries, yielding 41 variables, including demographic, behavioural, physical, and biochemical factors. Five machine learning models - logistic regression, k-nearest neighbours, random forest, XGBoost, and a fully connected neural network - were trained and evaluated at global, regional, and country-specific levels using an 80/20 train-test split. The models' performance was assessed using accuracy, precision, recall, and F1 score. Feature importance analysis identified age, weight, heart rate, waist circumference, and height as key predictors of blood pressure. Across the 57 countries studied, model performances varied considerably, with accuracy ranging from as low as 58.96% in some models for specific countries to as high as 81.41% in others, underscoring the need for region and country-specific adaptations in modelling approaches. The explainable model offers an opportunity for population-level screening and continuous risk assessment in resource-limited settings.

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BACKGROUND: The growing aging trend associated with a higher prevalence of chronic illnesses is increasing the demand for the development of person-centered practice in specific care settings. Knowing the person's perception of the care and the care experience is essential to improving inpatient care toward person-centeredness. This study aims to characterize the perceptions of person-centered practice of hospitalized older adults with chronic illness at a Portuguese inpatient hospital department. METHODS: A quantitative, descriptive, cross-sectional approach was followed. Data were collected using a sociodemographic and health history questionnaire and the Person-Centered Practice Inventory - Care (PCPI-C). The effect of the different variables on each PCPI-C construct was determined using analysis of variance (ANOVA). RESULTS: The results show that person-centered practice was positively perceived in the five constructs of the person-centered processes domain (M = 3.92; SD = 0.47). The highest-scored construct was working with the person's beliefs and values (M = 4.12; SD = 0.51), and the lowest was working holistically (M = 3.68; SD = 0.70). No significant effect of the independent variables was found to influence the perceptions of any of the constructs in the person-centered processes domain. CONCLUSIONS: These results might indicate that person-centered processes are perceived uniquely by each person through individualized therapeutic relationships rather than a pattern of care shared by hospitalized older adults.

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