Demographic Data-driven Deprivation Index for Predicting Chronic Diseases

Author(s):  
Olugbenga Iyiola ◽  
Monika Akbar
2018 ◽  
Vol 2017 (1) ◽  
pp. 987
Author(s):  
Sarah B. Henderson ◽  
Nikolas Krstic ◽  
Weiran Yuchi ◽  
Hung Chak Ho ◽  
Blake B. Walker ◽  
...  

2002 ◽  
Vol 129 (3) ◽  
pp. 515-524 ◽  
Author(s):  
B. CHRISTENSON ◽  
P. LUNDBERGH

This study characterizes possible confounders that might make cohorts vaccinated and unvaccinated against influenza and pneumococcal infection different at baseline, with the hypothesis that the two cohorts are comparable. The similarity between health and demographic data was analysed by a randomized, multivariant study addressed to 10 000 persons aged 65 years and older in Stockholm County and was carried out in the form of a postal inquiry during the period December 2000 to May 2001. The study-population response rate was 78%. Of these, 66% (5120 persons) had been given at least one influenza vaccination during the 3-year study period (1998–2000), 50% (3780) had received one pneumococcal vaccination and 78% had received both vaccines during the period. The vaccination rate was lower in the age group 65–69 years (60%), compared with elderly cohorts aged over 70 years (67–72%, P<0·001). Elderly persons living in nursing homes or institutions had higher vaccination rates than persons living in their own households (72 vs. 67%). Persons with underlying chronic diseases had higher vaccination rates (71%, P<0·001) than those without underlying chronic diseases. Vaccine recipients had fewer days in hospital, compared with non-recipients. Unvaccinated persons with myocardial disease had nine times more days in hospital than vaccinated persons with myocardial disease. Vaccination against pneumococcal infection had an additional effect with influenza vaccination in reducing hospitalization for chronic lung diseases; influenza vaccination alone did not have this effect. In conclusion, the influenza and pneumococcal-vaccine recipients were older and had significantly more chronic lung and heart conditions than the unvaccinated cohort.


1970 ◽  
Vol 23 (5-6) ◽  
pp. 351-373 ◽  
Author(s):  
J. Staszewski ◽  
J. Slomska ◽  
C.S. Muir ◽  
D.K. Jain

2017 ◽  
Vol 109 ◽  
pp. 42-52 ◽  
Author(s):  
Nikolas Krstic ◽  
Weiran Yuchi ◽  
Hung Chak Ho ◽  
Blake B. Walker ◽  
Anders J. Knudby ◽  
...  

2021 ◽  
pp. 101053952110026
Author(s):  
Emma Rachmawati ◽  
Ekorini Listiowati ◽  
Deni Wahyudi Kurniawan ◽  
Izza Suraya ◽  
Abdillah Ahsan ◽  
...  

Acute respiratory distress syndrome (ARDS) is one of the main causes of high mortality among coronavirus disease 2019 (COVID-19) patients. This study aimed at determining the association between presence of chronic diseases and smoking behaviors with the development of ARDS among hospitalized COVID-19 patients in Indonesia. This study was carried out in 15 Muhammadiyah-‘Aisyiyah–affiliated COVID-19 referral hospitals in Indonesia. Four hundred ninety participants who tested positive for the COVID-19 were recruited in this study. Demographic data, history of chronic diseases, and the development of ARDS were retrieved from hospital patient records. Information about the smoking behavior was collected after respondents were discharged from the hospital. Presence of chronic diseases such as diabetes, chronic heart disease, hypertension, and chronic liver diseases were significantly associated with the development of ARDS. In a similar regard, patients who currently smoked had a 5 times greater risk of developing ARDS compared with those who never smoked.


Author(s):  
Ming-Hsun Lin ◽  
Chun-Yung Chang ◽  
Der-Min Wu ◽  
Chieh-Hua Lu ◽  
Che-Chun Kuo ◽  
...  

Background: The combination of multiple disease statuses, muscle weakness, and sarcopenia among older adults is an important public health concern, and a health burden worldwide. This study evaluates the association between chronic disease statuses, obesity, and grip strength (GS) among older adults in Taiwan. Methods: A community-based survey was conducted every 3 years among older adults over age 65, living in Chiayi County, Taiwan. Demographic data and several diseases statuses, such as diabetes mellitus, hypertension, cerebrovascular disease, cardiovascular disease, and certain cancers, were collected using a questionnaire. Anthropometric characteristics were measured using standard methods. Grip strength was measured using a digital dynamometer (TKK5101) method. Results: A total of 3739 older individuals were recruited (1600 males and 2139 females) with the mean age of 72.9 years. The mean GS was 32.8 ± 7.1 kg for males and 21.6 ± 4.8 kg for females. GS significantly decreased most in males with cerebrovascular disease (from 33.0—29.5 kg, p < 0.001) and in females with diabetes mellitus (from 21.8—21.0 kg, p < 0.01). GS was highest in older adults with obesity (body mass index ≥ 27 kg/m2); however, there was no significant change of GS as the disease number increased. Conclusion: Older adults who have two, rather than one or greater than three chronic diseases, have significantly lower GSs than those who are healthy. Stroke and CKD for males, and hypertension and diabetes for females, are important chronic diseases that are significantly associated with GS. Furthermore, being overweight may be a protective factor for GS in older adults of both sexes.


2021 ◽  
Vol 50 (11) ◽  
pp. 809-817
Author(s):  
Shu Yun Tan ◽  
Kaiwei Jeremy Lew ◽  
Ying Xie ◽  
Poay Sian Sabrina Lee ◽  
Hui Li Koh ◽  
...  

ABSTRACT Introduction: The rising prevalence of multiple chronic diseases is an important public health issue as it is associated with increased healthcare utilisation. This paper aimed to explore the annual per capita healthcare cost in primary care for patients with multiple chronic diseases (multimorbidity). Methods: This was a retrospective cohort study conducted in a cluster of public primary care clinics in Singapore. De-identified data from electronic medical records were extracted from July 2015 to June 2017. Only patients with at least 1 chronic disease were included in the study. Basic demographic data and healthcare cost were extracted. A list of 20 chronic diseases was considered for multimorbidity. Results: There were 254,377 patients in our study population, of whom 52.8% were female. The prevalence of multimorbidity was 62.4%. The median annual healthcare cost per capita for patients with multimorbidity was about twice the amount compared to those without multimorbidity (SGD683 versus SGD344). The greatest percentage increment in cost was when the number of chronic diseases increased from 2 to 3 (43.0%). Conclusion: Multimorbidity is associated with higher healthcare cost in primary care. Since evidence for the optimal management of multimorbidity is still elusive, prevention or delay in the onset of multimorbidity in the general population is paramount. Keywords: Chronic disease, healthcare cost, multimorbidity, primary care


2020 ◽  
Vol 30 (6) ◽  
pp. 1049-1055
Author(s):  
Tessa Jansen ◽  
Karin Hek ◽  
François G Schellevis ◽  
Anton E Kunst ◽  
Robert A Verheij

Abstract Background Low socioeconomic position (SEP) is related to higher healthcare use in out-of-hours primary care services (OPCSs). We aimed to determine whether inequalities persist when taking the generally poorer health status of socioeconomically vulnerable individuals into account. To put OPCS use in perspective, this was compared with healthcare use in daytime general practice (DGP). Methods Electronic health record (EHR) data of 988 040 patients in 2017 (251 DGPs, 27 OPCSs) from Nivel Primary Care Database were linked to socio-demographic data (Statistics, The Netherlands). We analyzed associations of OPCS and DGP use with SEP (operationalized as patient household income) using multilevel logistic regression. We controlled for demographic characteristics and the presence of chronic diseases. We additionally stratified for chronic disease groups. Results An income gradient was observed for OPCS use, with higher probabilities within each lower income group [lowest income, reference highest income group: odds ratio (OR) = 1.48, 95% confidence interval (CI): 1.45–1.51]. Income inequalities in DGP use were considerably smaller (lowest income: OR = 1.17, 95% CI: 1.15–1.19). Inequalities in OPCS were more substantial among patients with chronic diseases (e.g. cardiovascular disease lowest income: OR = 1.60, 95% CI: 1.53–1.67). The inequalities in DGP use among patients with chronic diseases were similar to the inequalities in the total population. Conclusions Higher OPCS use suggests that chronically ill patients with lower income had additional healthcare needs that have not been met elsewhere. Our findings fuel the debate how to facilitate adequate primary healthcare in DGP and prevent vulnerable patients from OPCS use.


2021 ◽  
Vol 10 (6) ◽  
pp. 1206
Author(s):  
Paweł Wańkowicz ◽  
Aleksandra Szylińska ◽  
Iwona Rotter

The outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic highlighted the serious problems of health care systems but also threatened the mental and physical health of patients worldwide. The goal of this study was to assess psychological health and insomnia in people with chronic diseases in the time of elevated stress associated with the pandemic. The study involved 879 people from Zachodniopomorskie province in Poland. Each participant provided basic demographic data, data on symptoms of insomnia, depression, anxiety and information on concomitant diseases such as hypertension, diabetes mellitus, coronary heart disease, heart failure, dyslipidemia, chronic obstructive pulmonary disease, Hashimoto’s disease and smoking cigarettes. Chronic diseases included in this study showed a strong correlation between Hashimoto’s disease and increase scores according to the Insomnia Severity Index (ISI, r = 0.797, p < 0.001), the Generalized Anxiety Disorder scale (GAD-7, r = 0.766, p < 0.001) and the Patient Health Questionnaire (PHQ-9, r = 0.767, p < 0.001). After the results were corrected for age, gender, diagnosed hypertension, dyslipidemia and cigarette smoking, it was confirmed that the diagnosis of Hashimoto’s disease was associated with an increased risk of anxiety (odds ratio (OR) = 2.225; p < 0.001), depression (OR = 2.518; p < 0.001) and insomnia (OR = 3.530; p < 0.001). Our study showed that during the SARS-CoV-2 pandemic patients with Hashimoto’s disease show a higher risk of insomnia, anxiety and depression.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 532-533
Author(s):  
M. Magnol ◽  
E. Berard ◽  
C. Rempenault ◽  
B. Castagne ◽  
M. Pugibet ◽  
...  

Background:The use of eHealth tools (internet, mobile applications, connected devices) in chronic diseases and in the field of rheumatoid arthritis (RA) is growing (1). eHealth may improve the overall care of patients suffering from chronic diseases (2,3).Objectives:The main objective of this study was to describe the use of eHealth by RA patients in France. The secondary objectives were to identify differences in demographic and disease characteristics between patients using eHealth tools or not. We also assessed patients’ expectations about digital devices.Methods:We conducted a cross-sectional, multicenter study. Patients with RA according to the ACR / EULAR 2010 criteria were recruited in 5 university hospitals (Bordeaux, Clermont-Ferrand, Limoges, Montpellier and Toulouse). Patients completed an anonymous self-questionnaire including demographic data, assessment about the use of eHealth (access, support, frequency of use, type of use, reason for use). The treating rheumatologist of the patient filled in an independent medical questionnaire collecting the disease characteristics, the activity of RA and the treatments. Data were collected from December 2018 to July 2019.Results:The questionnaires were completed by 575 patients, with an average age of 62±13 years, 78% of whom were women. 473 (82%) patients had access to eHealth through a computer (n=402, 86%), a tablet (n=188, 40%) and/or a smartphone (n=221, 47%). Among them, 36% (170/473) used internet for health in general and 29% (134/473) specifically for RA. Regarding the use of eHealth for RA, all patients used it to learn about their disease and 66% (89/134) as a tool to help monitoring RA. Most of them (n=87/125, 70%) had a paper medical record, 24/125 patients (19%) used a digital tool (spreadsheet n=10, 8% and / or mobile application n=9, 7% and / or website n=5, 4%) and 31/125 patients (25%) did not use any tool to monitor their RA. Few patients (16/126, 13%) used numeric reminders for their treatments. A specific application for RA was used by 27/127 patients (21%) using eHealth. Age, level of study, employment, treatment, comorbidities, membership of a patient association group and patient education program were associated with the use of eHealth for RA in univariate analysis. In multivariate analysis, membership of patient’s association (OR: 5.8 [3.0-11.2]), bDMARDs use (OR: 0.6 [0.4-1]) and comorbidities (OR: 0.7 [0.6-0.8]) remained associated with eHealth use for RA. According to the patients, recommendation by a doctor (n=225/330, 68%), ease of use (n=105/330, 32%) and data security (n=69/330, 21%) were the factors that would favor the use of eHealth.Conclusion:To date, few patients used eHealth for their disease. The use of a reliable and validated eHealth tool in RA could therefore be promoted by rheumatologist and might optimize the therapeutic adherence.References:[1]Mosa ASM, Yoo I, Sheets L. A systematic review of healthcare applications for smartphones. BMC Med Inform Decis Mak. 10 juill 2012;12:67.[2]Lorig KR, Ritter PL, Laurent DD, Plant K. The internet-based arthritis self-management program: a one-year randomized trial for patients with arthritis or fibromyalgia. Arthritis Rheum. 15 juill 2008;59(7):1009‑17.[3]Charpentier G, Benhamou P-Y, Dardari D, Clergeot A, Franc S, Schaepelynck-Belicar P, et al. The Diabeo software enabling individualized insulin dose adjustments combined with telemedicine support improvesDisclosure of Interests:Marion Magnol: None declared, Eleonore Berard: None declared, Claire Rempenault: None declared, Benjamin Castagne: None declared, marine pugibet: None declared, Cédric Lukas: None declared, Anne Tournadre: None declared, Pascale Vergne-Salle: None declared, Thomas Barnetche: None declared, Marie-Elise Truchetet: None declared, Adeline Ruyssen-Witrand Grant/research support from: Abbvie, Pfizer, Consultant of: Abbvie, BMS, Lilly, Mylan, Novartis, Pfizer, Sandoz, Sanofi-Genzyme


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