ArticleBMJ open2018
International experiments with different models of allocating funds to facilitate integrated care: a scoping review protocol.
Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Developing an integrated model of care for vulnerable populations living with non-communicable diseases in Lebanon: an online theory of change workshop.Conflict and health · 2023Article
- Information and Communication Technology Based Integrated Care for Older Adults: A Scoping Review.International journal of integrated careArticle
- The inTouch Integrated Care Framework - Reimagining Integrated Health Service Delivery.International journal of integrated careArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
introductionIntegrated care is viewed widely as a potential solution to some of the major challenges faced by health and social care systems, such as those posed by service duplication, fragmentation and poor care coordination, and associated impacts on the quality and cost of services. Fragmented models of allocating funds to and across sectors, programmes and providers are frequently cited as a major barrier to integration and countries have experimented with different models of allocating funds to enhance care coordination among service providers and to reduce ineffective care and avoid costly adverse events. This scoping review aims to assess published international experiences of different models of allocating funds to facilitate integration and the evidence on their impacts. METHODS AND ANALYSIS: We will adopt a scoping review methodology due to the potentially vast and multidisciplinary nature of the literature on different models of allocating funds in health and social care systems, as well as the scarcity of existing knowledge syntheses. The framework developed by Arksey and O'Malley will be followed that entails six steps: (1) identifying the research question(s), (2) searching for relevant studies, (3) selecting studies, (4) charting the data, (5) collating, summarising and reporting the results and (6) and conducting consultation exercises. These steps will be conducted iteratively and reflexively, making adjustments and repetitions when appropriate to make sure the literature has been covered as comprehensively as possible. To ensure comprehensiveness of our literature review, we also search a wide range of sources. ETHICS AND DISSEMINATION: An integrated knowledge translation strategy will be pursued by engaging our knowledge users through all stages of the review. We will organise two workshops or policy roundtables/policy dialogues in Alberta and British Columbia with participation of diverse knowledge users to discuss and interpret the findings of our review and to draw out policy opportunities and lessons that can be applied to the context of these two provinces.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.