Evidence map›Paper›PMID 31214339›Full record

ArticleHealth systems (Basingstoke, England)2018

Infinicare framework for integrated understanding of health-related activities in clinical and daily-living contexts.

Mustafa Ozkaynak, Rupa Valdez, Richard J Holden, Jason Weiss

Abstract read
In one paragraph

Article in Health systems (Basingstoke, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mustafa OzkaynakCollege of Nursing, University of Colorado-Denver, Aurora, CO, USA.ORCID 0000-0002-5085-5125
Rupa ValdezDepartment of Public Health Sciences, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0002-5125-0793
Richard J HoldenDepartment of BioHealth Informatics, Indiana University School of Informatics and Computing, Indianapolis, IN, USA.
Jason WeissCollege of Nursing, University of Colorado-Denver, Aurora, CO, USA.

Funding

AHRQ HHS R03 HS024092
6 · The paper itself

Abstract

Clinical and consumer health informatics interventions promise to transform health care, yielding higher quality, more accessible care at a lower cost. However, the potential of these interventions cannot be achieved if they are developed and rolled out in a disconnected way: clinic-based systems typically do not interface with home-based systems that capture patient-generated health-related data. The fragmentation between these interventions severely limits the benefits of all interventions; given that health care is a continuum between clinical and daily-living settings. We introduce the Infinicare framework, which posits that clinical health-related activities "shape" daily-living-based health-related activities and, conversely, that daily-living-based health-related activities "inform" activities in clinics. Non-alignment of activities across these diverse contexts yields systemic gaps. Workflow studies that capture health-related activities and characterise gaps between clinical and daily-living contexts can inform the design and implementation of gap-filling, collaborative health information technologies. To inform these technologies, workflow studies should be patient-oriented, include both clinical and daily-living settings and subsume both process and structure variables. Novel methodologies are needed to effectively and efficiently capture health-related activities across both clinical and daily-living settings and their contexts. Guidelines for applying these recommendations in developing collaborative health information technologies are provided.

Indexed as

contextdaily-livinghealth-related activitiespatient-orientedWorkflow

Identifiers

PMID31214339
PMCPMC6452830

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.