Diagnosis Of Chronic Conditions Research Articles

The effect of Medicare eligibility on diagnosis of chronic conditions.

The near-universal access to Medicare coverage at age 65 years improves access to care. However, little is known about whether Medicare eligibility promotes the diagnosis of chronic diseases. We examined the effects of Medicare eligibility at age 65 years on the diagnosis of chronic conditions. Using data from the 2007-2019 Medical Expenditure Panel Survey, we employed a regression discontinuity design. Our sample includes 43,620 individuals aged 59 to 71 years. Our primary outcomes were diagnoses of 19chronic conditions. Using a regression discontinuity design, we exploited the discontinuity in eligibility for Medicare at age 65 years and compared individuals just before and after age 65 years. Medicare eligibility at age 65 years led to significant increases in having any coverage or Medicare coverage: 8.8 percentage points (95% CI, 8.4-9.2) and 78.1percentage points (95% CI, 74.9-81.4), respectively. However, there were no or small changes in the diagnosis of chronic conditions at age 65 years. Specifically, there were no significant changes in the diagnoses of 17 chronic conditions, and the changes were minor in magnitude. Significant changes were observed only in the diagnosis of stroke and cancer, at -0.6 percentage points (95% CI, -1.0 to -0.2) and -1.7 percentage points (95% CI, -2.8 to -0.6),respectively. Our findings suggest that Medicare coverage did not necessarily lead to increased diagnosis of chronic conditions. Further research is necessary to explore the underlying mechanisms behind this observation.

Development and Testing of a Chronic-Disease Patient Experience Mapping Toolbox.

Stakeholders increasingly expect research and care delivery to be guided by and to optimize patient experiences. However, standardized tools to engage patients to gather high-quality data about their experiences, priorities, and desired outcomes are not publicly available. The objective of this study was to develop and test a Toolbox with a disease-agnostic interview guide template and accompanying resources to assist researchers in engaging patients living with chronic disease in a dialogue about their experiences. Guided by a multidisciplinary workgroup, a targeted literature review (PubMed) was conducted, followed by group discussions to identify/thematically organize patient experience concepts, development of a conceptual model, and drafting of an interview guide template and patient-facing visual. Materials were tested/refined via cognitive (n = 5) and pilot (n = 30) interviews conducted virtually with US patients diagnosed with chronic/potentially disabling conditions from December 2020 to April 2021. Patient-facing tools were reviewed by health literacy experts for applicability/accessibility. English-speaking adults who self-reported receiving a chronic condition diagnosis at least 6 months prior participated in a 60-90 min interview. Patient experience concepts were organized thematically under three domains: (1) life before a diagnosis, (2) experiences getting a diagnosis, and (3) experiences living with a diagnosis. A plain language consent sheet template, interview guide template, and patient experience conceptual model were developed and revised based on input from interviewees, interviewers, and the workgroup. A disease-agnostic patient-engagement Toolbox was developed and tested to capture patient experience data. These materials can be customized based on study objectives and leveraged by various stakeholders to identify opportunities to enhance the patient centricity of healthcare delivery and research.

Individual-, social- and policy- factors associated with smoking cessation among adult male cigarette smokers in Hanoi, Vietnam: a longitudinal study

BackgroundNearly one-in-two Vietnamese men smoke cigarettes placing them among the highest tobacco consumers in the world. Despite the need for smoking cessation to curb the burden of tobacco-related diseases in Vietnam, this rate remains at less than 30%. Therefore, this study examines individual-, social- and policy factors associated with smoking cessation among adult male smokers in Vietnam.MethodsWe established a longitudinal International Tobacco Control study of male smokers in Hanoi, Vietnam, in September 2018. This paper analyses 1525 men who participated in baseline and one-year follow-up. We applied a weighted multivariable logistic regression to examine the association between smoking cessation and individual-, social- and policy predictors.ResultsAt follow-up, 14.8% of participants had quit smoking for at least 30 consecutive days during the last year. Among the persistent smokers, 56.6% expressed intention to quit smoking. Factors associated with smoking cessation included a lower number of cigarettes smoked per day (aOR = 0.96, 95% CI: 0.94, 0.99) and having several attempts to quit smoking (aOR = 2.16, 95% CI 1.13, 4.12). Intention to quit smoking was associated with multiple quit attempts, a chronic condition diagnosis, more tobacco-related knowledge, greater self-efficacy, and more worries about their future health. The perceived impact of smoke-free policy and health warning labels were positively associated with intention to quit at any stage.ConclusionsInterventions aimed at increasing smoking cessation should focus on all aspects of individual, social, and policy factors. Persistent smokers are more motivated to quit if they have made multiple quit attempts, more self-efficacy of quitting and worried about their future health, indicating that increasing smokers’ beliefs and knowledge may be important for behavioural change. Health warning labels and tobacco taxation policies should be maintained and promoted as they are perceived to be particularly useful for persistent smokers’ intention to quit.

Impact of Health Insurance Patterns on Chronic Health Conditions Among Older Patients.

Patients have varying levels of chronic conditions and health insurance patterns as they become Medicare age-eligible. Understanding these dynamics will inform policies and reforms that direct capacity and resources for primary care clinics to care for these aging patients. This study 1) determined changes in chronic condition rates following Medicare age eligibility among patients with different insurance patterns and 2) estimated the number of chronically ill patients who remain inadequately insured post-Medicare eligibility among patients receiving care in community health centers. We used retrospective electronic health record data from 45,527 patients aged 62 to 68 from 990 community health centers in 25 states in 2014 to 2019. Insurance patterns (continuously insured, continuously uninsured, uninsured/discontinuously insured who gained insurance after age 65, lost insurance after age 65, discontinuously insured) and diagnosis of chronic conditions were defined at each visit pre- and post-Medicare eligibility. Difference-in-differences Poisson GEE models estimated changes of chronic condition rates by insurance groups pre- to post-Medicare age eligibility. Post-Medicare eligibility, 72% patients were continuously insured, 14% gained insurance; and 14% were uninsured or discontinuously insured. The prevalence of multimorbidity (≥2 chronic conditions) was 77%. Those who gained insurance had a significantly larger increase in the rate of documented chronic conditions from pre- to post-Medicare (DID: 1.06, 95%CI:1.05-1.07) compared with the continuously insured group. Post-Medicare age eligibility, a significant proportion of patients were diagnosed with new conditions leading to high burden of disease. One in 4 older adults continue to have inadequate health care coverage in their older age.

Socioeconomic Status and Chronic Health Conditions in Asian Survivors of Adolescent and Young Adult Cancers.

Purpose: While there are known disparities in socioeconomic status (SES) and health outcomes among racially and ethnically minoritized adolescent and young adult (AYA; ages 15-39 years at diagnosis) cancer survivors compared with White survivors, outcomes in the Asian survivor population are understudied. To better understand the association of an AYA cancer diagnosis with SES and health outcomes within a minoritized population, the current study makes comparisons between individuals of the same race or ethnicity with and without a history of AYA cancer. Methods: Non-Hispanic, Asian AYA cancer survivors and non-Hispanic, Asian age- and sex-matched controls were identified from self-reported data in the National Health Interview Survey (2009-2020). Prevalence of chronic health conditions and socioeconomic factors were compared between groups using chi-square tests. Odds of chronic conditions by SES factors were determined within and between survivors and controls using logistic regression methods. Results: One hundred and thirty-one survivors and 1310 controls were included. Survivors were less likely to be married compared with controls; however, there were no differences in other SES factors examined. Survivors had higher odds of at least one chronic condition diagnosis (odds ratio = 4.17, p < 0.001) compared with controls. Of the chronic conditions assessed, survivors had higher odds of arthritis, pulmonary disease, and hypertension compared with controls. Conclusions: Asian AYA cancer survivors are at increased risk of chronic health conditions compared with Asian individuals without a cancer history. Culturally adapted targeted interventions are needed to improve health outcomes for this population.

Is tooth loss associated with multiple chronic conditions?

Objectives To examine the relationship between tooth loss and co-occurrence of multiple chronic conditions (MCC) among American adults at working age. Materials and methods Data was from the Behavioural Risk Factor Surveillance System 2018, a cross-sectional telephone-based, nationally representative survey of American adults. We included participants aged 25–64 years. The survey included sociodemographic data, reported diagnosis of chronic conditions, the number of missing teeth and health behaviours. An aggregate variable of chronic conditions was created which included heart attack, angina, stroke, cancer, chronic pulmonary disease, diabetes, asthma, arthritis, depression, and kidney diseases. The association between the number of missing teeth and the aggregate of chronic conditions was assessed adjusting for confounders. Results The analysis included 202,809 participants. The mean number of MCC was 0.86 (95% Confidence Interval ‘CI’:0.85,0.87). Tooth loss was significantly associated with MCC with rate ratio 1.18 (95% CI:1.15,1.21), 1.53 (95% CI:1.48,1.59) and 1.62 (95% CI:1.55,1.69) for those reporting losing 1–5 teeth, 6 or more but not all, and all teeth, respectively after adjusting for demographic, socioeconomic, and behavioural factors. Conclusion Tooth loss could be an early marker for the co-occurrence of multiple chronic conditions among adults of working age. The association could be attributed to common risk factors for oral and general health.

Chronic Conditions and School Participation of First-Year University Students-HOUSE ULisbon Study.

Students with chronic conditions (CC) tend to experience several barriers in terms of their school participation and performance. Therefore, the present study aims to explore the factors related to the time of diagnosis of CC (recent/non-recent), the barriers to participation and academic success (health condition, people’s attitude towards CC and school physical environment), the physical and mental health (physical/psychological symptoms and concerns) and school-related variables (relationship with teachers and peers), regarding the school participation of first-year students with CC. This work is part of the HOUSE-Colégio F3 Project, University of Lisbon, which includes 1143 first-year university students from 17 Faculties and Institutes of the University of Lisbon. In this specific study, only the subsample of 207 students with CC was considered, 72.4% of which were female, aged between 18 and 54 years (M = 20.00; SD = 4.83). The results showed that students with a recent diagnosis of CC and students with school participation affected by the CC were those who presented more negative indicators regarding barriers to school participation, physical and mental health, and school-related variables. A greater impact of CC in terms of school participation was associated with having a recent diagnosis, with people’s attitude towards CC and with the health condition as barriers, with more psychological symptoms and worse relationships with teachers and peers. This is a relevant message for the organization of health services for students with CC at the beginning of their university studies, especially since they are often displaced from home and managing their health conditions alone (in many cases, for the first time).

Self-Reported Time to Diagnosis and Proportions of Rediagnosis in Female Patients with Chronic Conditions in Australia: A Cross-sectional Survey.

Background:The diagnosis of chronic conditions in women is complicated by the historical androcentricity in medical research. Sex and gender gaps in health research may translate to unequal healthcare for women. This cross-sectional survey study aimed to ascertain the median time to diagnosis, proportions of rediagnosis and time to rediagnosis for Australian women with chronic conditions.Methods:An online survey collected anonymous data from voluntary participants. Data were analyzed using Stata14. Cox Proportional Hazards model was used to analyze time to diagnosis and rediagnosis. Logistic regression analysis was used to assess the significance of rediagnosis rates by diagnosis, age at diagnosis, income, employment, state of residence, disability status, and Indigenous status.Results:The median time from first appointment to initial diagnosis was 6 months (range 1 day–50 years) (interquartile range [IQR] 3.74 years). The median time to rediagnosis was 4 years (IQR 9) with a range of 1 day–43 years. Almost half of the women (n = 161/343, 47%) reported their primary condition being rediagnosed. From the complete responses, 40% were rediagnosed from one organic condition to another organic condition, however, 32% of women originally diagnosed with psychological, medically unexplained syndromes, or chronic pain were later rediagnosed with organic conditions.Conclusion:Median wait times for a diagnosis for women in Australia, when factoring in high rates of rediagnosis and time to rediagnosis, was 4 years. It is important that clinicians are aware of the high rediagnosis rates in female patients with chronic conditions and understand the potential impact of systemic biases on the diagnostic process for women under their care.

Health care utilization in Alaska Native people receiving chronic disease specialty care by videoconsultation compared to propensity-matched controls

Introduction Previous studies have had mixed findings about the effects of telemedicine on health care utilization. We designed this study to assess differences in health care utilization between ever users of telemedicine for chronic disease specialty care compared to propensity-matched controls. Methods This observational study of usual care in the Alaska Tribal Health System evaluated telemedicine use (videoconsultation) and healthcare utilization using data from the electronic medical record between 1 January 2015 and 30 June 2019. Eligibility criteria included: age 18 and older, chronic condition diagnosis, and residing in one of four study regions. Cases had ever used telemedicine while controls had not. We used propensity score matching to achieve covariate balance between cases and controls, and then estimated the effect of telemedicine on outcomes using multivariable models. Outcomes included rates of hospitalizations, outpatient visits, and emergency department visits. Results Cases (ever users of telemedicine) had higher hospitalization rates (rate ratio 1.31, p < 0.01) and higher outpatient visit rates (rate ratio 1.23, p < 0.01). Cases had lower rates of emergency department visits, though non-statistically significant (rate ratio 0.87, p = 0.07). Cases were more likely than controls to have no emergency department visits per follow-up time (49% vs 36%, p < 0.01). Discussion We found higher rates of inpatient and outpatient health care utilization in people who had ever used telemedicine compared to propensity-matched controls, with potentially lower rates of emergency department visits. These findings contribute to the literature on telemedicine and should be considered in the context of other factors influencing telemedicine use and outcomes.

Importance of Diagnostic Accuracy in Big Data: False-Positive Diagnoses of Type 2 Diabetes in Health Insurance Claims Data of 70 Million Germans.

Large data sets comprising diagnoses of chronic conditions are becoming increasingly available for research purposes. In Germany, it is planned that aggregated claims data - including medical diagnoses from the statutory health insurance - with roughly 70 million insurants will be published regularly. The validity of the diagnoses in such big datasets can hardly be assessed. In case the dataset comprises prevalence, incidence, and mortality, it is possible to estimate the proportion of false-positive diagnoses using mathematical relations from the illness-death model. We apply the method to age-specific aggregated claims data from 70 million Germans about type 2 diabetes in Germany stratified by sex and report the findings in terms of the age-specific ratio of false-positive diagnoses of type 2 diabetes (FPR) in the dataset. The FPR for men and women changes with age. In men, the FPR increases linearly from 1 to 3 per 1,000 in the age group of 30-50 years. For age between 50 and 80 years, FPR remains below 4 per 1,000. After 80 years of age, we have an increase to approximately 5 per 1,000. In women, we find a steep increase from age 30 to 60 years, the peak FPR is reached at approximately 12 per 1,000 between 60 and 70 years of age. After age 70 years, the FPR of women drops tremendously. In all age groups, the FPR is higher in women than in men. In terms of absolute numbers, we find that there are 217,000 people with a false-positive diagnosis in the dataset (95% confidence interval, CI: 204-229), the vast majority being women (172,000, 95% CI: 162-180). Our work indicates that possible false-positive (and negative) diagnoses should appropriately be dealt with in claims data, for example, by the inclusion of age- and sex-specific error terms in statistical models, to avoid potentially biased or wrong conclusions.

Associations of the COVID-19 pandemic with older individuals\u2019 healthcare utilization and self-reported health status: a longitudinal analysis from Singapore

BackgroundThe COVID–19 pandemic has challenged the capacity of healthcare systems around the world and can potentially compromise healthcare utilization and health outcomes among non-COVID–19 patients.ObjectivesTo examine the associations of the COVID-19 pandemic with healthcare utilization, out-of-pocket medical costs, and perceived health among middle-aged and older individuals in Singapore.MethodUtilizing data collected from a monthly panel survey, a difference-in-differences approach was used to characterize monthly changes of healthcare use and spending and estimate the probability of being diagnosed with a chronic condition and self-reported health status before and during the COVID-19 outbreak in 2020.SubjectsData were analyzed from 7569 nationally representative individuals from 2019 January and 2020 December.MeasuresHealthcare utilization and healthcare spending by medical service categories as well as self-reported health status.ResultsBetween January and April 2020 (the first peak period of COVID-19 in Singapore), doctor visits decreased by 30%, and out-of-pocket medical spending decreased by 23%, mostly driven by reductions in inpatient and outpatient care. As a result, the probability of any diagnosis of chronic conditions decreased by 19% in April 2020. The decreased healthcare utilization and spending recovered after lifting the national lockdown in June, 2020 and remained similar to the pre-pandemic level through the rest of 2020.ConclusionsMiddle-aged and older Singaporeans’ healthcare utilization and the diagnosis of chronic conditions substantially decreased during the first peak period of the COVID-19 outbreak. Further studies to track the longer-term health effect of the pandemic among non-COVID-19 patients are warranted.

Patterns of comorbidity and multimorbidity among middle-aged and elderly women in peri-urban Tanzania.

BackgroundMultimorbidity poses an increasing challenge to health care systems in Sub-Saharan Africa. We studied the extent of multimorbidity and patterns of comorbidity among women aged 40 years or older in a peri-urban area of Dar es Salaam, Tanzania.MethodsWe assessed 15 chronic conditions in 1528 women who participated in a cross-sectional survey that was conducted within the Dar es Salaam Urban Cohort Study (DUCS) from June 2017 to July 2018. Diagnoses of chronic conditions were based on body measurements, weight, blood testing, screening instruments, and self-report.ResultsThe five most prevalent chronic conditions and most common comorbidities were hypertension (49.8%, 95% CI 47.2 to 52.3), obesity (39.9%, 95% CI 37.3 to 42.4), anemia (36.9%, 95% CI 33.3 to 40.5), signs of depression (32.5%, 95% CI 30.2 to 34.9), and diabetes (30.9%, 95% CI 27.6 to 34.2). The estimated prevalence of multimorbidity (2+ chronic conditions) was 73.8% (95% CI 71.2 to 76.3). Women aged 70 years or older were 4.1 (95% CI 1.5 to 10.9) times mores likely to be affected by multimorbidity and had 0.7 (95% CI 0.3 to 1.2) more chronic conditions than women aged 40 to 44 years. Worse childhood health, being widowed, not working, and higher food insecurity in the household were also associated with a higher multimorbidity risk and level.ConclusionA high prevalence of multimorbidity in the general population of middle-aged and elderly women suggests substantial need for multimorbidity care in Tanzania. Comorbidity patterns can guide multimorbidity screening and help identify health care and prevention needs.

Association between Physical Activity and Comorbidities in Spanish People with Asthma-COPD Overlap

Asthma and chronic obstructive pulmonary disease (COPD) are important conditions which often coexist. Higher rates of comorbidities among people with asthma-COPD overlap (ACO) may complicate clinical management. The aim of this study was to determine the prevalence of 30 different comorbidities and to analyze associations between these comorbidities and physical activity (PA) in Spanish people with ACO. Cross-sectional data from the Spanish National Health Survey 2017 were analyzed. A total of 198 Spanish people with ACO aged 15–69 years (60.6% women) were included in this study. PA was measured with the International Physical Activity Questionnaire (IPAQ) short form. Diagnosis of chronic conditions were self-reported. Associations between PA and comorbidities were analyzed using multivariable logistic regression models. The most prevalent comorbidities were chronic allergy (58.1%), chronic lumbar pain (42.4%), chronic cervical pain (38.4%), hypertension (33.3%) and arthrosis (31.8%). A PA level lower than 600 MET·min/week was significantly associated with urinary incontinence (OR = 3.499, 95% CI = 1.369–8.944) and osteoporosis (OR = 3.056, 95% CI = 1.094–8.538) in the final adjusted model. Therefore, the potential influence of PA on reducing the risk of these conditions among people with ACO should be considered, not only because of the health benefits, but also because PA can contribute to a more sustainable world.

Self-Perceived Health and Chronic Conditions Among Users of Supplements With and Without Botanical Ingredients: Findings from the 2009–2014 National Health and Nutrition Examination Survey

The objective of this research was to investigate associations among self-reported health status, chronic conditions, and use of dietary supplements containing botanicals and describe reasons for use among U.S. adult supplement users. This was a cross-sectional analysis using data from the 2009–2014 National Health and Nutrition Examination Survey (NHANES). Supplement information was collected with a 30-day recall interview. Self-reported general health status and doctor-informed diagnoses of chronic conditions were assessed using a health status questionnaire. We used weighted multivariate logistic regressions to assess associations between supplement use and perceived health and number of chronic conditions. Participants were 16,958 non-institutionalized U.S. adults aged 20 years and older. Adults with excellent or very good self-perceived health were more likely to use botanical supplements than adults with good perceived health (adjusted odds ratio [aOR], 1.48; 95% confidence interval [CI], 1.28–1.74). Adults with three or more chronic conditions were more likely to report using botanical supplements than adults with no chronic conditions (aOR, 1.49; 95% CI, 1.13–1.69). The most frequently reported reasons for both non-botanical and botanical supplements use were “personal choice or influenced by advertisements or word of mouth,” “improve health,” and “specific health conditions” (93.3%, 84.2%, and 64.7%, respectively). While perceptions of health are more positive among adults using botanical supplements, chronic conditions and reasons for botanical supplements use related to personal choice, improving health, or addressing specific conditions were more likely. Differentiating botanical supplements from other complementary and integrative therapies may be useful for facilitating a deeper understanding of the reasons.

247 Automated sleep staging using wrist-worn device and deep neural networks

Abstract Introduction Heart rate is well-known to be modulated by sleep stages. If clinically useful sleep scoring can be performed using only cardiac rhythms, then existing medical and consumer-grade devices that can measure heart rate can enable low-cost sleep evaluations. Methods We trained a neural network which uses dilated convolutional blocks to learn both local and long range features of heart rate extracted from ECG R-wave timing to predict for every non-overlapping 30s epoch of the input the probabilities of the epoch being in one of four classes—wake, light sleep, deep sleep or REM. The largest probability is chosen as the network’s class prediction and used to form the hypnogram. We used the Sleep Heart Health Study (SHHS) and Multi-Ethnic Study of Atherosclerosis Study (MESA) and Physionet Computing in Cardiology (CinC) dataset (over 10000 nights) for training and evaluation. Then we deployed the algorithm on PPG based heart rate measured by a wrist-worn device worn by subjects in a free-living setting. Results On the held out test SHHS dataset (800 nights, 561 subjects), the overall 4-class staging accuracy was 77% and Cohen’s kappa was 0.66. On the CinC dataset (993 nights, 993 subjects), the overall 4 class accuracy was 72% and Cohen’s kappa was 0.55. The study on free-living subjects is underway and these novel results will be collated and presented upon completion. Conclusion We hope these results build more trust in automated heart rate based sleep staging and encourage further research into its clinical application in screening and diagnosis of sleep disorders. Low cost, high efficacy devices which can be used in longitudinal studies can lead to breakthroughs in clinical applications of sleep staging for early diagnosis of chronic conditions and novel treatment endpoints. Support (if any) We recently published the training/testing of the algorithm as well a population level analysis showing differences in predicted sleep stages between disease cohorts. The article was published in NPJ Digital Medicine in Aug 2020. The study on free living subjects is currently underway and these new results will be presented at the sleep conference. Preliminary results indicate high concordance with our published results.

Disease-related disability burden: a comparison of seven chronic conditions in middle-aged and older adults

BackgroundAlthough previous studies have explored the effect of chronic conditions on physical disability, little is known about the levels and rates of change in physical disability after a chronic condition diagnosis in middle-aged and older adults in the Asian population. The aim of this study is to ascertain the average levels and rates of change in the development of disability after disease diagnosis, as well as to determine the influences of sociodemographic and health-related correlates in the development of disability.MethodsThis is a retrospective cohort study analyzing data of nationally representative participants aged 50 and over with a chronic condition or having developed one during follow-ups based on data from the 1996–2011 Taiwan Longitudinal Study on Aging (TLSA) (n = 5131). Seven chronic conditions were examined. Covariates included age at initial diagnosis, gender, education level, number of comorbidities, and depression status. Physical disability was measured by combining self-reported ADL, IADL, and strength and mobility activities with 17 total possible points, further analyzed with multilevel modeling.ResultsThe results showed that (1) physical disability was highest for stroke, followed by cancer and diabetes at the time of the initial disease diagnosis. (2) The linear rate of change was highest for stroke, followed by lung disease and heart disease, indicating that these diseases led to higher steady increases in physical disability after the disease diagnosis. (3) The quadratic rate of change was highest in diabetes, followed by cancer and hypertension, indicating that these diseases had led to higher increments of physical disability in later stage disease. After controlling for sociodemographic and comorbidity, depression status accounted for 39.9–73.6% and 37.9–100% of the variances in the physical disability intercept and change over time, respectively.ConclusionsDespite the fact that a comparison across conditions was not statistically tested, an accelerated increase in physical disabilities was found as chronic conditions progressed. While stroke and cancer lead to disability immediately, conditions such as diabetes, cancer, and hypertension give rise to higher increments of physical disability in later stage disease. Mitigating depressive symptoms may be beneficial in terms of preventing disability development in this population.

Association between continuity of care and subsequent diagnosis of multimorbidity in Ontario, Canada from 2001-2015: A retrospective cohort study.

BackgroundContinuity of care is a well-recognized principle of the primary care discipline owing to its medical, interpersonal, and cost-saving benefits. Relationship continuity or the ongoing therapeutic relationship between a patient and their physician is a particularly desirable goal, but its role in preventing the accumulation of chronic conditions diagnoses in individuals is unknown. The objective of this study was to investigate the effect of continuity of care with physicians on the rate of incident multimorbidity diagnoses in patients with existing conditions.MethodsThis was a population-based, retrospective cohort study from 2001 to 2015 that focused on patients aged 18 to 105 years with at least one chronic condition (n = 166,665). Our primary exposure was relationship continuity of care with general practitioners and specialists measured using the Bice-Boxerman Continuity of Care Index (COCI). COCI was specified as a time-dependent exposure prior to the observation period. Our outcomes of interest were the time to diagnosis of a second, third, and fourth chronic condition estimated using cause-specific hazard regressions accounting for death as a competing risk.FindingsWe observed that patients with a single chronic condition and high continuity of care (>0.50) were diagnosed with a second chronic condition or multimorbidity at an 8% lower rate compared to individuals with low continuity (cause-specific hazard ratio (HR) 0.92 (95% Confidence Interval 0.90–0.93; p<0.0001) after adjusting for age, sex, income, place of residence, primary care enrolment, and the annual number of physician visits. Continuity remained protective as the degree of multimorbidity increased. Among patients with two conditions, the risk of diagnosis of a third chronic condition was also 8% lower for individuals with high continuity (HR 0.92; CI 0.90–0.94; p<0.0001). Patients with three conditions and high continuity had a 9% lower risk of diagnosis with a fourth condition (HR 0.91; CI 0.89–0.93; p<0.0001).ConclusionsContinuity of care is a potentially modifiable health system factor that reduces the rate at which diagnoses of chronic conditions are made over time in patients with multimorbidity. Additional research is needed to explain the underlying mechanisms through which continuity is related to a protective effect and the clinical sequalae.

Presbylarynx: Is It a Sign of the Health Status of the Elderly?

Only a full understanding of how different diseases affect the same or different anatomical/functional entities, may provide a clue on how comorbidity should be taken into consideration. The aim of this study was to evaluate the chronic medical illnesses of an elderly population, in order to analyze potential correlation of specific comorbidities with presbylarynx. This case-control, prospective, observational, and cross-sectional study was carried out on consecutive subjects observed by otorhinolaryngology, in a tertiary center, from January to September 2020. The inclusion criteria were ability to report an accurate medical history and ≥65 years of age. The exclusion criteria were neurologic diagnoses, autoimmune disease, history of thoracic or head and neck surgery, cancer, radiotherapy, thyroid pathology, vocal fold mass lesions, acute laryngitis, or vocal fold paralysis. Based on videostroboscopy of the larynx, the patients were subdivided into two main groups: presbylarynx versus no presbylarynx. Health status was assessed by evaluation of chronic medical illnesses (individual diagnoses of chronic conditions plus Charlson comorbidity index [CCI]), functional status (Katz index of independence in activities of daily living and functional Ambulation ambulation classification), and emotional status (Geriatric Depression Scale). A total of 174 subjects (60 males; 114 females) were included (mean age=73.99 years; range 65-95 years). Presbylarynx was identified in 71 patients (41%). A statistically significant difference was found concerning diabetes mellitus type 2 (T2DM); P< 0.001), asthma or chronic obstructive pulmonary disease (COPD; P< 0.001), and psychiatric disorder (P< 0.001). The mean score of CCI between "presbylarynx" and "no presbylarynx" groups was statistically different (P= 0.021). Results showed an association between some functional dependence (P< 0.001), and mild or severe depression (P< 0.001) and the presence of presbylarynx. Presbylarynx may be considered a sign of the health status of the elderly. Based on CCI, It was found that patients with higher probability of 10-year mortality exhibit more endoscopic signs of presbylarynx. It was also found that patients with better scores in functionality scales exhibited less endoscopic findings compatible with presbylarynx. Among chronic medical illnesses, T2DM, asthma, or COPD may be considered risk factors for noticeable endoscopic signs of presbylarynx.

Comorbidity patterns among people living with HIV: a hierarchical clustering approach through integrated electronic health records data in South Carolina

ABSTRACT Comorbidity among people living with HIV (PLWH) is understudied although identifying its patterns and socio-demographic predictors would be beneficial for comorbidity management. Using electronic health records (EHR) data, 8,490 PLWH diagnosed between January 2005 and December 2016 in South Carolina were included in the current study. An initial list of 86 individual diagnoses of chronic conditions was extracted in the EHR data. After grouping individual diagnoses with a pathophysiological similarity, 24 diagnosis groups were generated. Hierarchical cluster analysis was applied to these 24 diagnosis groups and yielded four comorbidity clusters: “substance use and mental disorder” (e.g., alcohol use, depression, and illicit drug use); “metabolic disorder” (e.g., hypothyroidism, diabetes, hypertension, and chronic kidney disease); “liver disease and cancer” (e.g., hepatitis B, chronic liver disease, and non-AIDS defining cancers); and “cerebrovascular disease” (e.g., stroke and dementia). Multivariable logistic regression was conducted to investigate the association between socio-demographic factors and multimorbidity (defined as concurrence of ≥ 2 comorbidity clusters). The multivariable logistic regression showed that age, gender, transmission risk, race, initial CD4 counts, and viral load were significant factors associated with multimorbidity. The results suggested the importance of integrated clinical care that addresses the complexities of multiple, and potentially interacting comorbidities among PLWH.

Current Use of Cardiac Biomarkers in Various Heart Conditions

Biomarkers are increasingly recognized to have significant clinical value in early identification and progression of various cardiovascular diseases. There are many heart conditions, such as congestive heart failure (CHF), ischemic heart diseases (IHD), and diabetic cardiomyopathy (DCM), and cardiac remodeling, in which the severity of the cardiac pathology can be mirrored through these cardiac biomarkers. From the emergency department (ED) evaluation of acute coronary syndromes (ACS) or suspected acute myocardial infarction (AMI) with cardiac marker Troponin to the diagnosis of chronic conditions like Heart Failure (HF) with natriuretic peptides, like B-type natriuretic peptide (BNP), N-terminal pro-B- type natriuretic peptide (Nt-proBNP) and mid regional pro-atrial natriuretic peptide (MR- proANP), their use is continuously increasing. Their clinical importance has led to the discovery of newer biomarkers, such as the soluble source of tumorigenicity 2 (sST2), galectin-3 (Gal-3), growth differentiation factor-15 (GDF-15), and various micro ribonucleic acids (miRNAs). Since cardiac pathophysiology involves a complex interplay between inflammatory, genetic, neurohormonal, and biochemical levels, these biomarkers could be enzymes, hormones, and biologic substances showing cardiac injury, stress, and malfunction. Therefore, multi-marker approaches with different combinations of novel cardiac biomarkers, and continual assessment of cardiac biomarkers are likely to improve cardiac risk prediction, stratification, and overall patient wellbeing. On the other hand, these biomarkers may reflect coexisting or isolated disease processes in different organ systems other than the cardiovascular system. Therefore, knowledge of cardiac biomarkers is imperative. In this article, we have reviewed the role of cardiac biomarkers and their use in the diagnosis and prognosis of various cardiovascular diseases from different investigations conducted in recent years.