Multimorbidity Profiles in German Centenarians: A Latent Class Analysis of Health Insurance Data

2017 ◽  
Vol 31 (4) ◽  
pp. 580-594 ◽  
Author(s):  
Paul Gellert ◽  
Petra von Berenberg ◽  
Thomas Zahn ◽  
Julia Neuwirth ◽  
Adelheid Kuhlmey ◽  
...  
Keyword(s):  
Health Insurance ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Oldest Old ◽  
Class Analysis ◽  
Health Insurance Data ◽  
Term Care ◽  
Insurance Data ◽  
Geriatric Multimorbidity

Objectives: Multimorbidity in centenarians is common; although investigations of the prevalence of morbidity in centenarians are accumulating, research on profiles of co-occurrence of morbidities is still sparse. Our aim was to explore profiles of comorbidities in centenarians. Method: Health insurance data from 1,121 centenarians comprising inpatient and outpatient diagnoses from the past 5 years (2009-2013) were analyzed using latent class analysis with adjustments for sex, age, hospitalization, and long-term care. Results: Four distinct comorbidity profiles emerged from the data: 36% of centenarians were categorized as “age-associated”; 18% had a variety of comorbidities but were not diabetic were labeled “multimorbid without diabetes”; 9% were labeled “multimorbid with diabetes”; and 36% “low morbidity.” Conclusion: Patterns of comorbidities describe the complexity of geriatric multimorbidity more appropriately than an approach focused on a single disease. The profiles described by this specific research may inform clinicians and health care planners for the oldest old.

scholarly journals Identifying Consumers Who Search for Long-Term Care on the Web: Latent Class Analysis

JMIR Aging ◽  
10.2196/10763 ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. e10763 ◽  
Author(s):  
Darren Liu ◽  
Takashi Yamashita ◽  
Betty Burston
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Long Term Care ◽  
Class Analysis ◽  
Term Care ◽  
The Web

scholarly journals The Impacts Of Socio-Economic Challenge On Long-Term Physical and Mental Health In Retirement Age

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 1057-1058
Author(s):  
Ilan Kwon ◽  
Sojung Park ◽  
BoRin Kim ◽  
ByeongJu Ryu
Keyword(s):  
Mental Health ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Later Life ◽  
The United States ◽  
Class Analysis ◽  
Physical And Mental Health ◽  
Term Care ◽  
The Impact

Abstract Despite consistent evidence on the negative effect of social and economic challenges on health, little is known about the pattern of economic difficulties people experience and the impact of those challenging patterns on long-term health in later life. This study used the national data, Mid Life in the United States (MIDUS 3 in 2013-2014), to identify the different patterns of socio-economic challenges that older Americans (50-64 ages old) experienced during the Recession in 2008 and to examine the impact of past challenging experiences on physical and mental health in their later life. Socio-economic challenges included twenty-six items such as losing or moving a job, missing rent, selling or losing a home, bankruptcy, having debts, and cutting spending. We conducted the latent class analysis and regression while controlling other social determinant factors (e.g., education, employment status, poverty, etc.). The latent class analysis result found five patterns during the Recession: people who experienced various difficulties during the Recession, who moved their jobs, who experienced financial difficulties, who bought a home with decreased debts, and who experienced no difficulty. Compared to people with no challenging experience, those who needed to move their jobs but could make debt off during the Recession reported physically healthier, but not mentally healthier in later life. Interestingly, among this group, women reported more long-term physical health problems than men. The findings suggest the close connection between physical and mental health and the importance of long-term care for mental health among older adults in recovering from socio-economic challenges.

scholarly journals Identifying Consumers Who Search for Long-Term Care on the Web: Latent Class Analysis (Preprint)

2018 ◽  
Author(s):  
Darren Liu ◽  
Takashi Yamashita ◽  
Betty Burston
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Long Term Care ◽  
The Internet ◽  
Class Analysis ◽  
Market Segments ◽  
Term Care ◽  
Web Based ◽  
Internet Users

BACKGROUND Because the internet has become a primary means of communication in the long-term care (LTC) and health care industry, an elevated understanding of market segmentation among LTC consumers is an indispensable step to responding to the informational needs of consumers. OBJECTIVE This exploratory study was designed to identify underlying market segments of the LTC consumers who seek Web-based information. METHODS Data on US adult internet users (n=2018) were derived from 2010 Pew Internet and America Life Project. Latent class analysis was employed to identify underlying market segments of LTC Web-based information seekers. RESULTS Web-based LTC information seekers were classified into the following 2 subgroups: heavy and light Web-based information seekers. Overall, 1 in 4 heavy Web-based information seekers used the internet for LTC information, whereas only 2% of the light information seekers did so. The heavy information seekers were also significantly more likely than light users to search the internet for all other health information, such as a specific disease and treatment and medical facilities. The heavy Web-based information seekers were more likely to be younger, female, highly educated, chronic disease patients, caregivers, and frequent internet users in general than the light Web-based information seekers. CONCLUSIONS To effectively communicate with their consumers, providers who target Web-based LTC information seekers can more carefully align their informational offerings with the specific needs of each subsegment of LTC markets.

Symptom profiles following combat injury and long-term quality of life: a latent class analysis

2021 ◽  
Author(s):  
Andrew J. MacGregor ◽  
Amber L. Dougherty ◽  
Edwin W. D’Souza ◽  
Cameron T. McCabe ◽  
Daniel J. Crouch ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
Combat Injury ◽  
Symptom Profiles

scholarly journals Identifying Risk Profiles of Malignant Prostate Cancer Surgical Delay Using a Person-Centered Approach to Understand Prostate Cancer Disparities: The Constellation of Health Determinants Using Latent Class Analysis on Cancer Registry Data

2020 ◽  
Vol 14 (6) ◽  
pp. 155798832098428
Author(s):  
Francisco A. Montiel Ishino ◽  
Claire Rowan ◽  
Rina Das ◽  
Janani Thapa ◽  
Ewan Cobran ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Health Insurance ◽  
Latent Class Analysis ◽  
Cancer Registry ◽  
High Probability ◽  
Private Health Insurance ◽  
Latent Class ◽  
Class Analysis ◽  
Risk Profiles ◽  
Surgical Delay

Surgical prostate cancer (PCa) treatment delay (TD) may increase the likelihood of recurrence of disease, and influence quality of life as well as survival disparities between Black and White men. We used latent class analysis (LCA) to identify risk profiles in localized, malignant PCa surgical treatment delays while assessing co-occurring social determinants of health. Profiles were identified by age, marital status, race, county of residence (non-Appalachian or Appalachian), and health insurance type (none/self-pay, public, or private) reported in the Tennessee Department of Health cancer registry from 2005 to 2015 for adults ≥18 years ( N = 18,088). We identified three risk profiles. The highest surgical delay profile (11% of the sample) with a 30% likelihood of delaying surgery >90 days were young Black men, <55 years old, living in a non-Appalachian county, and single/never married, with a high probability of having private health insurance. The medium surgical delay profile (46% of the sample) with a 21% likelihood of delay were 55–69 years old, White, married, and having private health insurance. The lowest surgical delay profile (42% of the sample) with a 14% likelihood of delay were ≥70 years with public health insurance as well as had a high probability of being White and married. We identified that even with health insurance coverage, Blacks living in non-Appalachian counties had the highest surgical delay, which was almost double that of Whites in the lowest delay profile. These disparities in PCa surgical delay may explain differences in health outcomes in Blacks who are most at-risk.

scholarly journals OP0314 LONG TERM TRAJECTORIES OF CHRONIC WIDESPREAD PAIN: A 21-YEAR PROSPECTIVE COHORT LATENT CLASS ANALYSIS

2019 ◽  
Author(s):  
Katarina Aili ◽  
Paul Campbell ◽  
Zoe A Michaleff ◽  
Victoria Y. Strauss ◽  
Kelvin Jordan ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Prospective Cohort ◽  
Latent Class ◽  
Chronic Widespread Pain ◽  
Widespread Pain ◽  
Class Analysis

scholarly journals Pflegebedürftigkeit in Deutschland

2020 ◽  
pp. 239-277
Author(s):  
Sören Matzk ◽  
Chrysanthi Tsiasioti ◽  
Susann Behrendt ◽  
Kathrin Jürchott ◽  
Antje Schwinger
Keyword(s):  
Health Care Services ◽  
Long Term Care ◽  
Age Group ◽  
Health Insurance Data ◽  
Term Care ◽  
Health Service Provision ◽  
Need Of Care ◽  
Care Services ◽  
Insurance Data

Zusammenfassung Zusammenfassung Der Beitrag liefert ein ausführliches Bild zum Stand der Pflegebedürftigkeit und der gesundheitlichen Versorgung der Pflegebedürftigen in Deutschland. Die Analysen basieren auf GKV-standardisierten AOK-Daten. Sie zeigen Prävalenz, Verläufe und Versorgungsformen der Pflege sowie Kennzahlen zur gesundheitlichen Versorgung der Pflegebedürftigen. Im Fokus stehen die Inanspruchnahme von ärztlichen und stationären Leistungen, Polymedikation und Verordnungen von PRISCUS-Wirkstoffen und Psychopharmaka. Die Ergebnisse werden der Versorgung der Nicht-Pflegebedürftigen gleichen Alters gegenübergestellt und differenziert nach Schwere der Pflegebedürftigkeit und Versorgungssetting ausgewiesen. The article provides empirical insights on the scope and state of long-term care services in Germany. This includes health service provision for persons in need of care. The article lays out key figures regarding the prevalence, pathways and forms of care based on standardised AOK statutory health insurance data. An additional focus lies on the use of out- and inpatient health care services as well as on polypharmacy and prescriptions of PRISCUS medication and psychotropic drugs. Findings are contrasted with data on members of the same age group who are not in need of care and discussed in relation to the severity of the need of care and the care provision setting.

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