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Record W2767013387 · doi:10.5334/ijic.3577

Functional Limitations Experienced by Older Adults with Complex Care Needs and Its Impact on Access to Community Based Health and Social Care

2017· article· en· W2767013387 on OpenAlexaffabout
Ashlinder Gill, Kerry Kuluski, Allie Peckham, John Parsons, Nicolette Sheridan, Ann McKillop, Jasleen Arneja

Bibliographic record

VenueInternational Journal of Integrated Care · 2017
Typearticle
Languageen
FieldMedicine
TopicChronic Disease Management Strategies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAging in placeThematic analysisBuilt environmentGerontologyHealth careMedicineIndependent livingSocial isolationNursingPsychologyQualitative researchSociology

Abstract

fetched live from OpenAlex

Introduction: Multimorbidity is often combined with functional limitations among older adults. It is therefore important to ensure the built and social environment encourages older adults to safely age while maintaining independence. Previous findings have focused on the impact of the built environment as a barrier to an active lifestyle, but not specific to accessing community-based health and social care (CHSC). We propose to investigate the impact of patient and caregiver limitations on accessing care, including the impact of the built environment.Methods: Secondary thematic coding analysis was undertaken with 53 patient and 38 informal caregiver interviews from communities in Canada and New Zealand. Reported findings are from a broader research program titled, Implementing integrated Care for Older Adults with Complex Health needs (iCOACH). Older complex seniors were recruited for participation from a community primary healthcare team if they were greater than 50 years of age, and managing ongoing chronic conditions. Caregivers were unpaid informal carers of older adults. A specific thematic code about unmet need was extensively reviewed for examples related to the built environment and access to care.Results: Functional limitations hindered self-management at home as well as accessing CHSC. Attributes of the physical environment at home impacted the use of assistive devices, and impaired the ability to leave the home. Physical barriers within the social environment included the inability to use public transportation, access community programs, and conduct daily living tasks. Consequences from not being able to access supports included greater financial strain, social isolation, poor safety at home, lack of independence, and greater caregiver strain. Older adults appeared to be less impacted by access barriers when living in supportive housing settings, where on-site staff were available to provide direct support, or initiate referrals for additional services.Discussions: Experiences of older adults and informal caregivers highlighted access to care issues specific to the immediate and external physical environment, and examples of when support was efficiently provided. When considering how to best deliver services to people with complex care needs and their caregivers, it is important to consider how those services can be accessed.Conclusions: When services cannot be easily accessed, patients and caregivers may make critical trade-offs. To maintain independence and safety, it is important to design services which consider the adaptations and supports that are required to support older adults both at home, as well as the environment they have to navigate to access care.Lessons learned: CHSC should be delivered to ensure increased accessibility. Providing health services which are close in proximity to primary care providers, or co-locating may be more efficient and accessible. Community programs should consider the broad range of limitations in designing holistic services for older adults and their caregivers.Limitations: Transferability of findings may be limited, as rural community-dwelling seniors and participants with cognitive decline were not included in the study. Suggestions for future research: Further explore the barriers to improving access to medical and social care from policy and provider perspectives, and create solutions that can be explored and implemented.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.084
GPT teacher head0.402
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2017
Admission routes2
Has abstractyes

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