Rationale and study design for decision making &amp; implementation of aging-in-place/long term care plans among older adults

Lindquist, Lee A.; Muhammad, Ruqayyah; Miller-Winder, Amber P; Opsasnick, Lauren; Kim, Kwang S.; Benavente, Julia Yoshino; Wolf, Michael S.; Ramirez‐Zohfeld, Vanessa

doi:10.1016/j.conctc.2021.100756

Cited by 9 publications

(19 citation statements)

References 31 publications

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“…Such support for older adults' care decision-making would also be important in care settings. To our knowledge, only one interventional study plans to directly test the effect of facilitating decisionmaking for aging-in-place [27]. More studies are needed to promote individual autonomy in care decision-making.…”

Section: Discussionmentioning

confidence: 99%

Aging-in-place preferences and institutionalization among Japanese older adults: a 7-year longitudinal study

et al. 2022

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Background In Asia, where autonomous decision-making is not well accepted, little is known about whether and how individuals’ preferences are considered when deciding where they receive care. This study examined whether individuals preferring to age in place if confined to bed were less likely to be institutionalized, using longitudinal data of Japanese older adults. Methods We analyzed nationally representative data of 1,290 community-dwelling older adults aged 70 and above. Baseline data were collected in 1999, shortly before the long-term care insurance system was introduced. The outcome was measured as self- or proxy-reported years of institutionalization over seven years. The explanatory variable was whether individuals preferred to age in place if they were confined to bed. Participants were asked about their desired place of care (facility, home, or other) if confined to bed. Covariates were sociodemographic and health-related factors. We used Cox proportional hazards models and calculated hazard ratios (HRs) with 95% confidence intervals (CIs) to evaluate the association of aging-in-place preferences if confined to bed with institutionalization. We applied multiple imputation to deal with missing data. Results Seventy-eight respondents (6.0%) were institutionalized during the follow-up period. Compared to individuals preferring to reside in long-term care facilities if confined to bed (48.7%), those preferring to stay in their homes (39.6%) were less likely to be institutionalized, even after adjusting for relevant covariates (HR = 0.47, 95% CI 0.27–0.79 for model 1 including residential status; HR = 0.45, 95% CI 0.27–0.76 for model 2 including marital status and co-resident children). Conclusions Our findings suggest that individuals’ aging-in-place preferences tend to be considered under the long-term care insurance system. Individuals’ preferences should be shared with families and clinicians when deciding the place of care.

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Section: Discussionmentioning

confidence: 99%

Aging-in-place preferences and institutionalization among Japanese older adults: a 7-year longitudinal study

et al. 2022

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“…The University's selection committee (PMB) initially enters the parameter values of the results from the Basic Competency Exam, TOEFL Prediction, and interviews. The outcomes of this decision will be examined later, and if the University's policy changes, the decision will be re-planned [19]. Each University, of course, has its own admissions procedure.…”

Section: Results and Analysismentioning

confidence: 99%

Fuzzy Decision Support System for ABC University Student Admission Selection

Yudono¹,

Faris²,

Wibowo³

et al. 2022

Proceedings of the International Conference on Economics, Management and Accounting (ICEMAC 2021)

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New Student Admission (PMB) is a pattern for selecting prospective students. Every year, every University conducts PMB selection, and new student admissions are divided into numerous tracks: the Independent Path. The Basic Competency Exam, TOEFL Prediction, and interviews are commonly used in this selection process. So far, the registrant data has been manually sorted in the selection process. A system that can help determine prospective new students will be required since many student data will be picked for PMB. Because of the system's assistance, universities can make the selection process more effective. The method used in this study to implement a PMB decision system is Fuzzy Mamdani. The method in this study has a sequence of stages: first doing fuzzification, second using inference evaluation rules that have been determined, and finally, defuzzification to get the final results of the calculations. This system was tested by comparing the system's results to the actual results obtained according to the design. The system testing results received a 96 percent approval rating. As a result, the University's new student admissions system can be used to help streamline the formerly manual selection process.

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“…As part of a larger study, we are longitudinally following a cohort of older adults, who are aging‐in‐place, as they make decisions about accessing long‐term‐care services. 9 , 10 Subjects are surveyed at baseline and then every 6 months, thereafter for 42 months. COVID‐19 presented a unique challenge as baseline surveys began prior to the initial cases (January 2020) and continued during the initial 6 months of COVID‐19 (ending November 2020).…”

Section: Methodsmentioning

confidence: 99%

“…As part of a larger study, we are longitudinally following a cohort of older adults, who are aging‐in‐place, as they make decisions about accessing long‐term‐care services 9,10 . Subjects are surveyed at baseline and then every 6 months, thereafter for 42 months.…”

Section: Methodsmentioning

confidence: 99%