Integrated healthcare journal最新文献

Objective: To assess the cost of implementation, delivery and cost-effectiveness (CE) of a flagship community-based integrated care model (OPEN ARCH) against the usual primary care.

Design: A 9-month stepped-wedge cluster-randomised trial.

Setting and participants: Community-dwelling older adults with chronic conditions and complex care needs were recruited from primary care (14 general practices) in Far North Queensland, Australia.

Methods: Costs and outcomes were measured at 3-month windows from the healthcare system and patient's out-of-pocket perspectives for the analysis. Outcomes included functional status (Functional Independence Measure (FIM)) and health-related quality of life (EQ-5D-3L and AQoL-8D). Bayesian CE analysis with 10 000 Monte Carlo simulations was performed using the BCEA package in R (V.3.6.1).

Results: The OPEN ARCH model of care had an average cost of $A1354 per participant. The average age of participants was 81, and 55% of the cohort were men. Within-trial multilevel regression models adjusted for time, general practitioner cluster and baseline confounders showed no significant differences in costs, resource use or effect measures regardless of the analytical perspective. Probabilistic sensitivity analysis with 10 000 simulations showed that OPEN ARCH could be recommended over usual care for improving functional independence at a willing to pay above $A600 (US$440) per improvement of one point on the FIM Scale and for avoiding or reducing inpatient stay for any willingness-to-pay threshold up to $A50 000 (US$36 500).

Conclusions and implications: OPEN ARCH was associated with a favourable Bayesian CE profile in improving functional status and dependency levels, avoiding or reducing inpatient stay compared with usual primary care in the Australian context.

Trial registration number: ACTRN12617000198325.

[This corrects the article DOI: 10.1136/ihj-2022-000139.].

Objective: NaviCare/SoinsNavi is a bilingual patient navigation centre for children and youth 25 years of age or younger with complex care needs in New Brunswick. This research-based centre employs two bilingual patient navigators, one a registered nurse and the other a lay navigator, who assist children/youth, family members and the care team by facilitating more convenient and integrated care using a personalised family-centred approach. The purpose of this study was to explore the perceptions and experiences of care providers who use NaviCare/SoinsNavi. This study builds on ongoing research exploring the experiences of children/youth and their families who are clients of NaviCare/SoinsNavi.

Methods: Interviews were conducted with 10 care providers (n=10) from various sectors including social support services (n=6), primary care (n=2), mental health services (n=1) and acute care (n=1).

Results: Qualitative interviews were conducted and five themes related to the participants' perceptions and experiences with NaviCare/SoinsNavi emerged, including : (1) trusted source, (2) connector, (3) capacity builder, (4) partner and (5) time saver. The overall impression of NaviCare/SoinsNavi was positive in the service's ability to help support care providers and streamline the care they provide to their clients.

Conclusions: It is within every healthcare provider's scope of practice to provide navigational support to essential programmes and services; however, due to limitations in time, resources and capacity, services such as NaviCare/SoinsNavi can be used to help close gaps in care that exists for children/youth with complex care needs and their families.

Background: Chronic myelogenous leukaemia (CML) is a pathological clinical condition with a yearly incidence between 10 and 15 cases per million people, 14 in Italy. Its incidence increases with age, reaching 20-25 yearly cases per million individuals in people over 70 years. A growing importance has been given to the need of a multidisciplinary approach (MDA) for the management of patients with CML.

Objective: To analyse the importance of MDA as compared with the current Italian standard of care for the management of CML patients based on the involvement of several health professional figures.

Methods: A group of healthcare professionals from several healthcare structures were gathered in a first Advisory Board (AB) and divided into as many groups as the number of belonging health structures representative of the Italian provision of therapeutic approaches for CML. In a second AB, the results were validated by the same panel of experts.

Results: The number of dedicated health professionals within the dedicated ward ranged from 1 to 13. Most structures rely on several professionals intervening only in case of necessity. Only one centre provides a booking service based on clinical needs to avoid waiting times. Most centres report there is basically no disagreement in the definition of the clinical pathway and there is a high adherence to national and international CML guidelines.

Conclusions: The development of forms of interorganisational and interprofessional coordination to improve the diagnosis and the treatment of CML patients have been for long on the agenda of policy makers, managers and professionals for more than 20 years. This analysis represents a starting reference to consider for the evaluation of an MDA in the Italian context.

Objective: To explore how a clinical leadership training programme contributes to successful implementation of integrated dementia care in local primary care networks.

Methods and analysis: A qualitative design was used in local primary care networks in the Netherlands. Twenty-six primary care professionals, nurses (n=22), general practitioners (n=2) and occupational therapists (n=2) followed a 2-year practice-based educational programme including individual coaching and interactive group training. Embedded leadership training created opportunities for direct application of acquired leadership skills. Reports of coaching sessions and transcripts of semi-structured interviews with 20 leadership trainees, 8 network members and a focus group interview with 9 leadership trainees were thematically analysed.

Results: They identified 50 learning goals, mostly associated with personal leadership competences. These professionals perceived some improvement in their leadership behaviour and preferred a duo-network leadership arrangement. Individual coaching sessions and group training sessions were perceived as fruitful support. Coaching sessions were found to facilitate learning processes regarding personal competencies, collaboration issues and role clarification. Group meetings were appreciated for exercises on transformational leadership behaviour and exchange of experiences. Network leaders and members observed improved quality of care and mentioned continuity of leadership, perseverance of leaders and a sufficient time period to bring about change as important facilitating factors.

Conclusion: Clinical leadership training to stimulate integrated primary care is promising as it was positively valued and contributed to improved perceived leadership competencies. Network leaders and members experienced improved quality of care when at least continuity in leadership was warranted.

To examine the effectiveness of integrated care intervention (ICI) models (stand-alone or combination of self-management, discharge management, case management and multidisciplinary teams models) targeting patients with one or more chronic conditions, and to identify outcome measures/indicators of effectiveness, we conducted a systematic review of published systematic reviews and meta-analyses. Included reviews comprise ICIs targeting adult patients with one or more long-term conditions. We searched MEDLINE, CINAHL and the Cochrane Database of Systematic Reviews: 60 reviews were included in the final analysis; 28 reviews evaluated ICIs focused on self-management, 4 on case management, 10 on discharge management and 5 on multidisciplinary teams; 13 reviews assessed multiple interventions that were labelled as complex. Across all reviews, only 19 reviews included intervention with multiple ICIs. Overall, interventions with multiple components, compared with interventions with single components, were more likely to improve hospital use outcomes effectively. Clinical/lifestyle/condition-specific outcomes were more likely to be improved by self-management interventions. Outcome measures identified could be classified into three main categories: organisational, patient-centred and clinical/lifestyle/condition-specific. The findings of this review may provide inputs to future design and evaluation of ICIs.

Background: Continuity of care (COC) should be measured for healthcare quality monitoring and evaluation and is a key process indicator for integrated care. Measurement of COC using routinely collected data is widespread, but there is no consensus on which indicator to use and the relevant time horizon to apply. Information about COC is especially warranted in highly fragmented healthcare systems, such as in Switzerland. Our study aimed to compare COC measures in Swiss residents aged 50+ obtained with various indices and time horizons.

Methods: Using insurance claims data, we computed and compared several commonly used visit-based Continuity of Care Indices (COCIs): Bice-Boxerman Index, Usual Provider of Care, Herfindahl-Hirschman Index, Modified, Modified Continuity Index and Modified Continuity Index, based on all doctor visits and on primary care (PC) visits only. Indices were computed over short (1 year) and medium (4 years) terms.

Results: The mean indices based on all visits varied between 0.51 and 0.77, while PC indices presented less variation with a median of 1.00 for all but one index. Indices focusing on a variety of individual providers decreased with time horizon, while indices focusing on the overall number of visits and providers showed the opposite trend. These findings suggest fundamental differences in the interpretation of COCIs.

Conclusions: Broad COC appeared moderately low in Switzerland, although comparable to other countries, and PC COC was close to one. The choice of indices and time horizon influenced their interpretation. Understanding these differences is key to select the appropriate index for the monitoring of COC.

Objective: To explore the experiences of young people with type 1 diabetes mellitus (T1DM) and their parents in accessing integrated family-centred care in the Australian Capital Territory during the COVID-19 pandemic.

Methods and analysis: This is a pragmatic, qualitative descriptive study for which we conducted semistructured interviews with 11 young people with T1DM aged 12-16 years and 10 of their parents who attended an outpatient diabetes service in Canberra, Australia. Thematic analysis was conducted in accordance with the methods outlined by Braun and Clarke.

Results: Three themes were identified: feeling vulnerable, new ways of accessing care and trust in the interdisciplinary diabetes healthcare team. Participants believed having T1DM made them more vulnerable to poor outcomes if they contracted COVID-19, resulting in avoidance of face-to-face care. Telephone consultations offered a convenient and contact-free way to undertake 3-monthly reviews. The greatest difference between telephone and face-to-face consultations was not having access to the whole interdisciplinary diabetes support team at one appointment, physical examination and haemoglobin A1c testing during telehealth consultations. Participants trusted that clinicians would arrange face-to-face meetings if required. Some felt a video option might be better than telephone, reflecting in part the need for more training in communication skills for remote consultations.

Conclusion: Young people with T1DM and their parents require collaborative care and contact with multiple healthcare professionals to facilitate self-management and glycaemic control. While telephone consultations offered convenient, safe, contact-free access to healthcare professionals during the COVID-19 pandemic, the added value of video consultations and facilitating access to the whole interdisciplinary diabetes support team need to be considered in future clinical implementation of telehealth.

Objective: With ageing of the Australian population, more people are living longer and experiencing chronic or complex health conditions. The challenge is to have information that supports the integration of services across the continuum of settings and providers, to deliver person-centred, seamless, efficient and effective healthcare. However, in Australia, data are typically siloed within health settings, precluding a comprehensive view of patient journeys. Here, we describe the establishment of the Lumos programme-the first statewide linked data asset across primary care and other settings in Australia and evaluate its representativeness to the census population.

Methods and analysis: Records extracted from general practices throughout New South Wales (NSW), Australia's most populous state, were linked to patient records from acute and other settings. Innovative privacy and security technologies were employed to facilitate ongoing and regular updates. The marginal demographic distributions of the Lumos cohort were compared with the NSW census population by calculating multiple measures of representation to evaluate its generalisability.

Results: The first Lumos programme data extraction linked 1.3 million patients' general practice records to other NSW health system data. This represented 16% of the NSW population. The demographic distribution of patients in Lumos was >95% aligned to that of the NSW population in the calculated measures of representativeness.

Conclusion: The Lumos programme delivers an enduring, regularly updated data resource, providing unique insights about statewide, cross-setting healthcare utilisation. General practice patients represented in the Lumos data asset are representative of the NSW population overall. Lumos data can reliably be used to identify at-risk regions and groups, to guide the planning and design of health services and to monitor their impact throughout NSW.