| Literature DB >> 30700481 |
Rebecca L Jessup1,2,3, Denise A O'Connor1,2, Polina Putrik1,2, Kobi Rischin1,2, Janet Nezon2, Sheila Cyril1,2, Sasha Shepperd4, Rachelle Buchbinder1,2.
Abstract
INTRODUCTION: Costs associated with the delivery of healthcare services are growing at an unsustainable rate. There is a need for health systems and healthcare providers to consider the economic impacts of the service models they deliver and to determine if alternative models may lead to improved efficiencies without compromising quality of care. The aim of this protocol is to describe a scoping review of the extent, range and nature of available synthesised research on alternative delivery arrangements for health systems relevant to high-income countries published in the last 5 years.Entities:
Keywords: alternative healthcare models; delivery arrangement; healthcare delivery; high-income; scoping review; sustainability
Mesh:
Year: 2019 PMID: 30700481 PMCID: PMC6352783 DOI: 10.1136/bmjopen-2018-024385
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Preliminary version of the data extraction form
| Study | Author, year | Brief description of intervention | Place published | EPOC Delivery arrangement strategy | Sub- | Number and type of trials included | Target population | Setting | Target health issue/s | Patient outcomes (health and health behaviours for example, mortality, cure rates) | Quality of care (systems or processes for improving quality of care for example, timeout before surgery) | Resource use | Impacts on equity | Social outcomes (eg, poverty, unemployment) | Access, utilisation (eg, re- | Healthcare provider outcomes (eg, overall well-being, fatigue, stress, satisfaction) | Adverse effects | Economic analyses |
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EPOC, Effective Practice and Organisation of Care.
Figure 1Data extraction process for included systematic reviews. All four authors will extract data from the first 10 systematic reviews. The remaining systematic reviews will be divided between the four review authors, and each author will have 1/3 of his/her studies reviewed by a second author to assess the level of agreement. If >90% agreement is reached, no further checks of data extraction process will be completed.