Evidence map›Paper›PMID 32928195›Full record

ArticleBMC health services research2020

Response hierarchy models and their application in health and medicine: understanding the hierarchy of effects.

James K Elrod, John L Fortenberry

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

James K ElrodWillis-Knighton Health System, 2600 Greenwood Road, Shreveport, LA, 71103, USA.
John L FortenberryWillis-Knighton Health System, 2600 Greenwood Road, Shreveport, LA, 71103, USA. john.fortenberry@lsus.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuccessful patient engagement pursuits naturally require healthcare providers to possess a detailed understanding of their target audiences, with one of the most important processes to comprehend being the manner in which they learn about particular establishments and decide to extend their patronage. While health services patronage pathways vary between and among consumers, general patronage patterns exist which can provide enlightenment regarding this important process. Achieving knowledge on this front can help healthcare providers maximize opportunities to engage audiences and acquire all-important market share. DISCUSSION: The discipline of marketing, in part, focuses on customer engagement practices and, in describing the patronage process, it often uses what are referred to as response hierarchy models. Also known as hierarchy of effects models, these representations can help healthcare providers to understand the course through which individuals become customers of given establishments, aiding them particularly in devising appeals that can accelerate the patronage process. This particular article describes response hierarchy models, presents examples, and discusses the benefits that they offer healthcare institutions in their efforts to engage patients.

conclusionsAs institutional viability and vitality are predicated on abilities to successfully attract and retain patients, healthcare establishments must direct keen attention toward developing associated skills. This necessitates that health and medical providers possess a detailed understanding of their target audiences, notably including the stages through which they pass on their way to becoming patrons. Response hierarchy models present the patronage process, depicting given stages, permitting insights which can assist healthcare providers in their quests to hasten desired exchange and capture market share.

Indexed as

Choice BehaviorPersuasive CommunicationHumansMarketing of Health ServicesHealthcareHierarchy of effects modelsHospitalsMarketing communicationsResponse hierarchy models

Identifiers

PMID32928195
PMCPMC7491114

What OpenQuestion holds

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Registered trials

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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.