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Record W6906620114 · doi:10.17605/osf.io/cp4mx

Experiences of inpatient healthcare services among children with medical complexity: A scoping review

2022· article· en· W6906620114 on OpenAlexaboutno aff

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
Fundersnot available
KeywordsHealth careMEDLINEMental healthPopulationInclusion (mineral)PerceptionMedical homeInpatient care

Abstract

fetched live from OpenAlex

Background: Children with medical complexity (CMC) have multiple chronic conditions in addition to highly complex care needs. The population of CMC has increased considerably in the recent decade and has among the highest health care utilization in pediatrics. CMC and their parental caregivers' experiences of care differ in important ways from other populations and CMC and their parental caregivers have reported poor experiences of care when compared to other pediatric populations. Importantly, CMC are at increased risk of adverse events during their hospitalizations. Objective: The objective of this review is to map the existing literature related to CMC and their parental caregivers’ experiences of receiving inpatient healthcare services, and to identify important knowledge gaps. Inclusion criteria: This review will include studies pertaining to the experiences of healthcare services for CMC, along with their parental caregivers, in the inpatient hospital setting. In our review, CMC are defined as children with (a) multiple chronic conditions, (b) high health care utilization, (c) high care needs in the home and community, and (c) functional limitations. Experiences of health care is described as interactions shaped by an organization's culture that influence patients' perceptions across the continuum of care. Unique settings, such as the NICU and mental health units, and populations, such as medically fragile infants, will be excluded. Methods: Using the Joanna Briggs Institute methodology, articles related to CMC and the inpatient care setting will be identified through EMBASE, CINAHL, Web of Science, MEDLINE and PsycInfo. Search period will be from the year 2000 to the current date. All types of research designs will be included but not grey literature. Studies will be limited to English. Screening of titles, abstracts and full-text articles will be conducted by two independent researchers. Disagreements will be resolved by discussion with a third researcher. Data will be extracted using a data extraction form including authors, country, participants, objectives, methodology, setting and key findings. Articles will be appraised with the Consolidated Criteria for Reporting Qualitative Studies (COREQ), Newcastle-Ottawa Scale (NOS) for cohort and case-control studies and the Consolidated Standards of Reporting Trials (CONSORT) for randomized controlled trials. Data tables and figures will be created to map and present data, and themes from data will be presented in a narrative summary. Significance: This review will aid in developing a comprehensive understanding of inpatient experiences of care for CMC and their parental caregivers. This understanding will contribute to further research on the development of models of care and potential interventional research projects among CMC and their parental caregivers in inpatient hospital settings. Collating and mapping this evidence is necessary to determine critical aspects of experiences of care that will help prioritize health services interventions and evaluation, as well as identify areas that require further investigation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0130.019
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.297
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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