Are family physician visits and continuity of care associated with acute care use at end-of-life? A population-based cohort study of homecare cancer patients

Background: Previous end-of-life cancer research has shown an association between increased family physician continuity of care and reduced use of acute care services; however, it did not focus on a homecare population or control for homecare nursing.

Aim: Among end-of-life homecare cancer patients, to investigate the association of family physician continuity with location of death and hospital and emergency department visits in the last 2 weeks of life while controlling for nursing hours.

Design: Retrospective population-based cohort study.

Setting/participants: Cancer patients with ≥1 family physician visit in 2006 from Ontario, Canada. Family physician continuity of care was assessed using two measures: Modified Usual Provider of Care score and visits/week. Its association with location of death and hospital and emergency department visits in the last 2 weeks of life was examined using logistic regression.

Results: Of 9467 patients identified, the Modified Usual Provider of Care score demonstrated a dose-response relationship with increasing continuity associated with decreased odds of hospital death and visiting the hospital and emergency department in the last 2 weeks of life. More family physician visits/week were associated with lower odds of an emergency department visit in the last 2 weeks of life and hospital death, except for patients with greater than 4 visits/week, where they had increased odds of hospitalizations and hospital deaths.

Conclusions: These results demonstrate an association between increased family physician continuity of care and decreased odds of several acute care outcomes in late life, controlling for homecare nursing and other covariates.©The Author(s) 2013 Reprints and permissions sagepub.co.uk/journalsPermissions.nav.

Falls prevention and support:: translating research, integrating services and promoting the contribution of service users for quality and innovative programmes of care

Falls are a significant threat to the safety, health and independence of older citizens. Despite the substantial evidence that is available around effective falls prevention programmes and interventions, their translation into falls reduction programmes and policies has yet to be fully realised. While hip fracture rates are decreasing, the number and incidence of fall-related hospital admissions among older people continue to rise. Given the demographic trends that highlight increasing numbers of older people in the UK, which is broadly reflected internationally, there is a financial and social imperative to minimise the rate of falls and associated injuries. Falling is closely aligned to growing older (Slips, Trips and Falls Update: From Acute and Community Hospitals and Mental Health Units in England and Wales, Department of Health, HMSO, London, 2010). According to the World Health Organization, around 30% of older people aged over 65 and 50% of those over 80 will fall each year (Falls Fact Sheet Number 344, WHO, Geneva, 2010). Falls happen as a result of many reasons and can have harmful consequences, including loss of mobility and independence, confidence and in many cases even death (Cochrane Database Syst Rev 15, 2009, 146; Slips, Trips and Falls Update: From Acute and Community Hospitals and Mental Health Units in England and Wales, Department of Health, HMSO, London, 2010; Falling Standards, Broken Promises: Report of the National
Audit of Falls and Bone Health in Older People 2010, Health Care Quality
Improvement Partnership, London, 2011). What is neither fair nor correct is the
common belief by old and young alike that falls are just another inconvenience to put up with. The available evidence justifiably supports the view that well-organised services, based upon national standards and expert guidance, can prevent future falls among older people and reduce death and disability from fractures. This paper will draw from the UK, as an exemplar for policy and practice, to discuss the strategic direction of falls prevention programmes for older people and the partnerships that need to exist between researchers, service providers and users of services to translate evidence to the clinical setting. Second, it will propose some mechanisms for disseminating evidence to healthcare professionals and other stakeholders, to improve the quality and capacity of the clinical workforce.

Barriers to Goals of Care Discussions With Seriously Ill Hospitalized Patients and Their Families: A Multicenter Survey of Clinicians

Importance: Seriously ill hospitalized patients have identified communication and decision making about goals of care as high priorities for quality improvement in end-of-life care. Interventions to improve care are more likely to succeed if tailored to existing barriers.

Objective: To determine, from the perspective of hospital-based clinicians, (1) barriers impeding communication and decision making about goals of care with seriously ill hospitalized patients and their families and (2) their own willingness and the acceptability for other clinicians to engage in this process.

Design, Setting, and Participants: Multicenter survey of medical teaching units of nurses, internal medicine residents, and staff physicians from participating units at 13 university-based hospitals from 5 Canadian provinces.

Main Outcomes and Measures: Importance of 21 barriers to goals of care discussions rated on a 7-point scale (1 = extremely unimportant; 7 = extremely important).

Results: Between September 2012 and March 2013, questionnaires were returned by 1256 of 1617 eligible clinicians, for an overall response rate of 77.7% (512 of 646 nurses [79.3%], 484 of 634 residents [76.3%], 260 of 337 staff physicians [77.2%]). The following family member-related and patient-related factors were consistently identified by all 3 clinician groups as the most important barriers to goals of care discussions: family members' or patients' difficulty accepting a poor prognosis (mean [SD] score, 5.8 [1.2] and 5.6 [1.3], respectively), family members' or patients' difficulty understanding the limitations and complications of life-sustaining treatments (5.8 [1.2] for both groups), disagreement among family members about goals of care (5.8 [1.2]), and patients' incapacity to make goals of care decisions (5.6 [1.2]). Clinicians perceived their own skills and system factors as less important barriers. Participants viewed it as acceptable for all clinician groups to engage in goals of care discussions-including a role for advance practice nurses, nurses, and social workers to initiate goals of care discussions and be a decision coach.

Conclusions and Relevance: Hospital-based clinicians perceive family member-related and patient-related factors as the most important barriers to goals of care discussions. All health care professionals were viewed as playing important roles in addressing goals of care. These findings can inform the design of future interventions to improve communication and decision making about goals of care.

European Cystic Fibrosis Society Standards of Care: Quality Management in cystic fibrosis

Since the earliest days of cystic fibrosis (CF) treatment, patient data have been recorded and reviewed in order to identify the factors that lead to more favourable outcomes. Large data repositories, such as the US Cystic Fibrosis Registry, which was established in the 1960s, enabled successful treatments and patient outcomes to be recognized and improvement programmes to be implemented in specialist CF centres. Over the past decades, the greater volumes of data becoming available through Centre databases and patient registries led to the possibility of making comparisons between different therapies, approaches to care and indeed data recording. The quality of care for individuals with CF has become a focus at several levels: patient, centre, regional, national and international. This paper reviews the quality management and improvement issues at each of these levels with particular reference to indicators of health, the role of CF Centres, regional networks, national health policy, and international data registration and comparisons. 

Challenges of managing medications for older people at transition points of care

In clinical practice, pharmacists play a very important role in identifying and correcting medication discrepancies as older patients move across transition points of care. With increasing complexity of health care needs of older people, these discrepancies are likely to increase. The major concern with identifying and correcting medication discrepancies is that medication reconciliation is considered a retrospective problem – that is, dealing with medication discrepancies after they have occurred. It is argued here that a more proactive stance should be taken where doctors, nurses and pharmacists collectively work together to prevent medication discrepancies from happening in the first place. Improved involvement of patients and family members will help to facilitate better management of medications across transition points of care. Efficient use of information technology aids, such as electronic medication reconciliation tools, should also assist with organizational systems problems associated with the working culture, heavy workloads, and staff and skill mix of health professionals.

Using the hidden Markov model to capture quality of care in Lombardy geriatric wards

Quality of care is an important aspect of healthcare monitoring, which is used to ensure that the healthcare system is delivering care of the highest standard. With populations growing older there is an increased urgency in making sure that the healthcare delivered is of the highest standard. Healthcare providers are under increased pressure to ensure that this is the case with public and government demand expecting a healthcare system of the highest quality. Modelling quality of care is difficult to measure due to the many ways of defining it. This paper introduces a potential model which could be used to take quality of care into account when modelling length of stay. The Coxian phase-type distribution is used to model length of stay and the associated quality of care incorporated into the Coxian using a Hidden Markov model. Covariates are also introduced to determine their impact on the hidden level to find out what potentially can affect quality of care. This model is applied to geriatic patient data from the Lombardy region of Italy. The results obtained highlighted that bed numbers and the type of hospital (public or private) can have an effect on the quality of care delivered.

The Effect of Community-Based Specialist Palliative Care Teams on Place of Care

BACKGROUND: Prior research on community-based specialist palliative care teams used outcome measures of place of death and/or dichotomous outcome measures of acute care use in the last two weeks of life. However, existing research seldom measured the diverse places of care used and their timing prior to death.

OBJECTIVE: The study objective was to examine the place of care in the last 30 days of life.

METHODS: In this retrospective cohort study, patients who received care from a specialist palliative care team (exposed) were matched by propensity score to patients who received usual care in the community (unexposed) in Ontario, Canada. Measured was the percentage of patients in each place of care in the last month of life as a proportion of the total cohort.

RESULTS: After matching, 3109 patients were identified in each group, where 79% had cancer and 77% received end-of-life home care. At 30 days compared to 7 days before death, the exposed group's proportions rose from 33% to 41% receiving home care and 14% to 15% in hospital, whereas the unexposed group's proportions rose from 28% to 32% receiving home care and 16% to 22% in hospital. Linear trend analysis (proportion over time) showed that the exposed group used significantly more home care services and fewer hospital days (p < 0.001) than the unexposed group. On the last day of life (place of death), the exposed group had 18% die in an in-patient hospital bed compared to 29% in usual care.

CONCLUSION: Examining place of care in the last month can effectively illustrate the service use trajectory over time.