21 resultados para Hospitalisation
Resumo:
BACKGROUND: The 'frequent exacerbator' is recognised as an important phenotype in COPD. Current understanding about this phenotype comes from prospective longitudinal clinical trials in secondary/tertiary care with little information reported in primary care populations.
AIMS: To characterize the frequent-exacerbator phenotype and identify associated risk factors in a large UK primary care COPD population.
METHODS: Using a large database of primary care patients from 80 UK general practices, patients were categorised using GOLD 2014 criteria into high and low risk groups based on exacerbation history. A multivariate logistic regression model was used to investigate covariates associated with the frequent-exacerbator phenotype and risk of experiencing a severe exacerbation (leading to hospitalisation).
RESULTS: Of the total study population (n = 9219), 2612 (28%) fulfilled the criteria for high risk frequent-exacerbators. Independent risk factors (adjusted odds ratio [95% CI]) for ≥2 exacerbations were: most severely impaired modified Medical Research Council (mMRC) dyspnoea score (mMRC grade 4: 4.37 [2.64-7.23]), lower FEV1 percent predicted (FEV1 <30%: 2.42 [1.61-3.65]), co-morbid cardiovascular disease (1.42 [1.19-1.68]), depression (1.56 [1.22-1.99]) or osteoporosis (1.54 [1.19-2.01]), and female gender (1.20 [1.01-1.43]). Older patients (≥75 years), those with most severe lung impairment (FEV1 <30%), those with highest mMRC score and those with co-morbid osteoporosis were identified as most at risk of experiencing exacerbations requiring hospitalisation.
CONCLUSIONS: Although COPD exacerbations occur across all grades of disease severity, female patients with high dyspnoea scores, more severely impaired lung function and co-morbidities are at greatest risk. Elderly patients, with severely impaired lung function, high mMRC scores and osteoporosis are associated with experience of severe exacerbations requiring hospitalisation.
Resumo:
Objectives: To investigate the quality of end-of-life care for patients with metastatic non-small cell lung cancer (NSCLC). Design and participants: Retrospective cohort study of patients from first hospitalisation for metastatic disease until death, using hospital, emergency department and death registration data from Victoria, Australia, between 1 July 2003 and 30 June 2010. Main outcome measures: Emergency department and hospital use; aggressiveness of care including intensive care and chemotherapy in last 30 days; palliative and supportive care provision; and place of death. Results: Metastatic NSCLC patients underwent limited aggressive treatment such as intensive care (5%) and chemotherapy (< 1%) at the end of life; however, high numbers died in acute hospitals (42%) and 61% had a length of stay of greater than 14 days in the last month of life. Although 62% were referred to palliative care services, this occurred late in the illness. In a logistic regression model adjusted for year of metastasis, age, sex, metastatic site and survival, the odds ratio (OR) of dying in an acute hospital bed compared with death at home or in a hospice unit decreased with receipt of palliative care (OR, 0.25; 95% CI, 0.21–0.30) and multimodality supportive care (OR, 0.65; 95% CI, 0.56–0.75). Conclusion: Because early palliative care for patients with metastatic NSCLC is recommended, we propose that this group be considered a benchmark of quality end-of-life care. Future work is required to determine appropriate quality-of-care targets in this and other cancer patient cohorts, with particular focus on the timeliness of palliative care engagement.
Resumo:
Background: Intermediate care (IC) describes a range of services targeted at older people, aimed at preventing unnecessary hospitalisation, promoting faster recovery from illness and maximising independence. Older people are at increased risk of medication-related adverse events, but little is known about the provision of medicines management services in IC facilities. This study aimed to describe the current provision of medicines management services in IC facilities in Northern Ireland (NI) and to explore healthcare workers' (HCWs) and patients' views of, and attitudes towards these services and the IC concept.
Methods: Semi-structured interviews were conducted, recorded, transcribed verbatim and analysed using a constant comparative approach with HCWs and patients from IC facilities in NI.
Results: Interviews were conducted with 25 HCWs and 18 patients from 12 IC facilities in NI. Three themes were identified: 'concept and reality', 'setting and supply' and 'responsibility and review'. A mismatch between the concept of IC and the reality was evident. The IC facility setting dictated prescribing responsibilities and the supply of medicines, presenting challenges for HCWs. A lack of a standardised approach to responsibility for the provision of medicines management services including clinical review was identified. Whilst pharmacists were not considered part of the multidisciplinary team, most HCWs recognised a need for their input. Medicines management was not a concern for the majority of IC patients.
Conclusions: Medicines management services are not integral to IC and medicine-related challenges are frequently encountered. Integration of pharmacists into the multidisciplinary team could potentially improve medicines management in IC.
Resumo:
Rationale, aims and objectives: Intermediate care (IC) describes a range of services targeted at older people, aimed at preventing unnecessary hospitalisation, promoting faster recovery and maximising independence. The introduction of IC has created a new interface between primary and secondary care. Older people are known to be at an increased risk of medication-related problems when transferring between healthcare settings and pharmacists are often not included as part of IC multidisciplinary teams. This study aimed to explore community pharmacists’ (CPs) awareness of IC services and to investigate their views of and attitudes towards the medicines management aspects of such services, including the transfer of medication information.
Method: Semi-structured interviews were conducted, recorded, transcribed verbatim and analysed using a constant comparative approach with CPs practising in the vicinity of IC facilities in Northern Ireland, UK.
Results: Interviews were conducted with 16 CPs. Three themes were identified and named ‘left out of the loop’, ‘chasing things up’ and ‘closing the loop’. CPs felt that they were often ‘left out of the loop’ with regards to both their involvement with local IC services and communication across the healthcare interfaces. As a result, CPs resorted to ‘chasing things up’ as they had to proactively try to obtain information relating to patients’ medications. CPs viewed themselves as ideally placed to facilitate medicines management across the healthcare interfaces (i.e., ‘closing the loop’), but several barriers to potential services were identified.
Conclusion: CPs have limited involvement with IC services. There is a need for improvement of effective communication of patients’ medication information between secondary care, IC and community pharmacy. Increasing CP involvement may contribute to improving continuity of care across such healthcare interfaces, thereby increasing the person-centeredness of service provision.
Resumo:
Objectives: To audit the quality of treatment of lower respiratory tract infections (LRTIs) and urinary tract infections (UTIs) and to identify targets for antibiotic stewardship. Methods: The audit involved collecting data on admitted patients, who were diagnosed with LRTIs or UTIs and subsequently received antibiotic treatment (January 2009-April 2009). Key findings: The percentage adherence rate for hospital antibiotic policy was 68.6% (24/35). Documentation of the CURB-65 score was found in 80% (16/20) of the patients' clinical notes, for which 46.2% (6/13) of patients were treated according to their CURB- 65 score. The percentages of delayed and missed doses for all antibiotics were 21.7% (254/1171) and 8.6% (101/1171), respectively. The percentage of patients switched from intravenous to oral antibiotics in accordance with the policy was 58.5% (31/53). The mean length of stay for patients switched in line with the guidelines was 6.9 days (range: 2-18 days) compared with 13.2 days (range: 4-28 days) for patients treated with intravenous antibiotics >24 h after the intravenous to oral switch criteria were fulfilled; this equates to on average an extra 6.3 days of hospitalisation (p=0.01). Conclusions: The study identified a number of targets for quality improvement including adherence to antibiotic policy, documentation of the CURB-65 score in patients' notes and treating patients accordingly, addressing the issue of missed and delayed doses, and maintaining adherence to the hospital intravenous-to-oral antibiotic switch policy. The findings suggest that the quality of antibiotic prescribing could be improved by measuring and addressing such performance indicators.
Resumo:
The number of elderly patients requiring hospitalisation in Europe is rising. With a greater proportion of elderly people in the population comes a greater demand for health services and, in particular, hospital care. Thus, with a growing number of elderly patients requiring hospitalisation competing with non-elderly patients for a fixed (and in some cases, decreasing) number of hospital beds, this results in much longer waiting times for patients, often with a less satisfactory hospital experience. However, if a better understanding of the recurring nature of elderly patient movements between the community and hospital can be developed, then it may be possible for alternative provisions of care in the community to be put in place and thus prevent readmission to hospital. The research in this paper aims to model the multiple patient transitions between hospital and community by utilising a mixture of conditional Coxian phase-type distributions that incorporates Bayes' theorem. For the purpose of demonstration, the results of a simulation study are presented and the model is applied to hospital readmission data from the Lombardy region of Italy.