Dataset Information

Informative presence and observation in routine health data: A review of methodology for clinical risk prediction.

ABSTRACT:

Objective

Informative presence (IP) is the phenomenon whereby the presence or absence of patient data is potentially informative with respect to their health condition, with informative observation (IO) being the longitudinal equivalent. These phenomena predominantly exist within routinely collected healthcare data, in which data collection is driven by the clinical requirements of patients and clinicians. The extent to which IP and IO are considered when using such data to develop clinical prediction models (CPMs) is unknown, as is the existing methodology aiming at handling these issues. This review aims to synthesize such existing methodology, thereby helping identify an agenda for future methodological work.

Materials and methods

A systematic literature search was conducted by 2 independent reviewers using prespecified keywords.

Results

Thirty-six articles were included. We categorized the methods presented within as derived predictors (including some representation of the measurement process as a predictor in the model), modeling under IP, and latent structures. Including missing indicators or summary measures as predictors is the most commonly presented approach amongst the included studies (24 of 36 articles).

Discussion

This is the first review to collate the literature in this area under a prediction framework. A considerable body relevant of literature exists, and we present ways in which the described methods could be developed further. Guidance is required for specifying the conditions under which each method should be used to enable applied prediction modelers to use these methods.

Conclusions

A growing recognition of IP and IO exists within the literature, and methodology is increasingly becoming available to leverage these phenomena for prediction purposes. IP and IO should be approached differently in a prediction context than when the primary goal is explanation. The work included in this review has demonstrated theoretical and empirical benefits of incorporating IP and IO, and therefore we recommend that applied health researchers consider incorporating these methods in their work.

SUBMITTER: Sisk R

PROVIDER: S-EPMC7810439 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Publications

Informative presence and observation in routine health data: A review of methodology for clinical risk prediction.

Sisk Rose R Lin Lijing L Sperrin Matthew M Barrett Jessica K JK Tom Brian B Diaz-Ordaz Karla K Peek Niels N Martin Glen P GP

Journal of the American Medical Informatics Association : JAMIA 20210101 1

<h4>Objective</h4>Informative presence (IP) is the phenomenon whereby the presence or absence of patient data is potentially informative with respect to their health condition, with informative observation (IO) being the longitudinal equivalent. These phenomena predominantly exist within routinely collected healthcare data, in which data collection is driven by the clinical requirements of patients and clinicians. The extent to which IP and IO are considered when using such data to develop clini ...[more]

PMID: 33164082

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Project description:Older adults are commonly accompanied to routine physician visits, primarily by adult children and spouses. This is the first review of studies investigating the dynamics and consequences of patient accompaniment. Two types of evidence were examined: (1) observational studies of audio and/or videotaped medical visits, and (2) surveys of patients, families, or health care providers that ascertained experiences, expectations, and preferences for family companion presence and behaviors in routine medical visits. Meta-analytic techniques were used to summarize the evidence describing attributes of unaccompanied and accompanied patients and their companions, medical visit processes, and patient outcomes. The weighted mean rate of patient accompaniment to routine adult medical visits was 37.6% in 13 contributing studies. Accompanied patients were significantly older and more likely to be female, less educated, and in worse physical and mental health than unaccompanied patients. Companions were on average 63 years of age, predominantly female (79.4%), and spouses (54.7%) or adult children (32.2%) of patients. Accompanied patient visits were significantly longer, but verbal contribution to medical dialog was comparable when accompanied patients and their family companion were compared with unaccompanied patients. When a companion was present, health care providers engaged in more biomedical information giving. Given the diversity of outcomes, pooled estimates could not be calculated: of 5 contributing studies 0 were unfavorable, 3 inconclusive, and 2 favorable for accompanied relative to unaccompanied patients. Study findings suggest potential practical benefits from more systematic recognition and integration of companions in health care delivery processes. We propose a conceptual framework to relate family companion presence and behaviors during physician visits to the quality of interpersonal health care processes, patient self management and health care.

Dataset Information

Informative presence and observation in routine health data: A review of methodology for clinical risk prediction.

Objective

Materials and methods

Results

Discussion

Conclusions

Publications

Informative presence and observation in routine health data: A review of methodology for clinical risk prediction.

Similar Datasets

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