Effect of multimorbidity on health service utilisation and health care experiences
Bibliographic record
Abstract
INTRODUCTION Multimorbidity, the co-existence of two or more long-term conditions, is associated with poor quality of life, high health care costs and contributes to ethnic health inequality in New Zealand (NZ). Health care delivery remains largely focused on management of single diseases, creating major challenges for patients and clinicians. AIM To understand the experiences of people with multimorbidity in the NZ health care system. METHODS A questionnaire was sent to 758 people with multimorbidity from two primary health care organisations (PHOs). Outcomes were compared to general population estimates from the NZ Health Survey. RESULTS Participants (n = 234, 31% response rate) reported that their general practitioners (GPs) respected their opinions, involved them in decision-making and knew their medical history well. The main barriers to effective care were short GP appointments, availability and affordability of primary and secondary health care, and poor communication between clinicians. Access issues were higher than for the general population. DISCUSSION Participants generally had very positive opinions of primary care and their GP, but encountered structural issues with the health system that created barriers to effective care. These results support the value of ongoing changes to primary care models, with a focus on patient-centred care to address access and care coordination.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".