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41/100

✓ Peer-reviewed alzhub usefulness score 41 out of 100. Risk factors

Topic: Risk, prevention and care in population studies

Plain-language summary

Rural patients with ADRD had 1.23 higher adjusted odds (P < .001) of going to the ED for a preventable visit compared to urban counterparts. The decomposition results showed that the model specification explained 49.2% of the differences between urban and rural patients. Patient residence in a mental health professional shortage area is one of the driving factors (contributing to 27%-48%) that explained the urban and rural disparities. Our study demonstrates the importance of improving health care resources in rural areas to improve health care quality and outcomes among ADRD patients who reside in rural areas. Future research and data collection on unobserved factors, such as health care quality, will be helpful in explaining the geographic differences.

What this study adds

Evidence grade: Low

This study found that rural patients with Alzheimer's disease and related dementias had higher odds of preventable emergency department visits compared to urban patients, partly due to living in mental health professional shortage areas. Reported effect size: 49.2%.

Taken from this record’s own fields, not from reading the paper. The grade is assigned from the abstract’s wording; what that means.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Wang, N., Albaroudi, A., & Chen, J. (2020). Decomposing Urban and Rural Disparities of Preventable ED Visits Among Patients With Alzheimer's Disease and Related Dementias: Evidence of the Availability of Health Care Resources. The Journal of Rural Health. https://doi.org/10.1111/jrh.12465

Vancouver

Wang N, Albaroudi A, Chen J. Decomposing Urban and Rural Disparities of Preventable ED Visits Among Patients With Alzheimer's Disease and Related Dementias: Evidence of the Availability of Health Care Resources. The Journal of Rural Health. 2020. doi:10.1111/jrh.12465. PMID: 32613666.

BibTeX

@article{wang2020-32613666,
  author  = {Wang, Nianyang and Albaroudi, Asmaa and Chen, Jie},
  title   = {{Decomposing Urban and Rural Disparities of Preventable ED Visits Among Patients With Alzheimer's Disease and Related Dementias: Evidence of the Availability of Health Care Resources}},
  journal = {The Journal of Rural Health},
  year    = {2020},
  doi     = {10.1111/jrh.12465},
  pmid    = {32613666},
  url     = {https://doi.org/10.1111/jrh.12465}
}

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

How to read this study

Design: our record does not state a study design, so check the methods section of the original before weighing the result.
Size: the record gives no participant count. Look for one in the original before trusting a pattern.
Effect: the record reports “49.2%”. A statistically significant result can still be small in daily life.

What the evidence grade means here

This page is graded low. alzhub.org assigns the grade automatically from keywords in the abstract, not from reading the paper. Low means the abstract matched neither pattern. It is the default label, and it does not mean the work is poor; many sound lab and imaging papers land here. It can add at most 5 of the 100 points in the study score, and it is a label about design, not a verdict on whether the findings are true.

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Key findings

Rural patients with ADRD had 1.23 higher adjusted odds (P < .001) of going to the ED for a preventable visit compared to urban counterparts.
The decomposition results showed that the model specification explained 49.2% of the differences between urban and rural patients.
Patient residence in a mental health professional shortage area is one of the driving factors (contributing to 27%-48%) that explained the urban and rural disparities.
Our study demonstrates the importance of improving health care resources in rural areas to improve health care quality and outcomes among ADRD patients who reside in rural areas.
Future research and data collection on unobserved factors, such as health care quality, will be helpful in explaining the geographic differences.

Why it matters

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Study details

Effect size49.2%
Evidence strengthLow

How this study scored 41/100

Published in a peer-reviewed journal. Scored zero for study design, sample size, studied in people and randomized / blinded because the record does not state it.

Component	Points	Why
Journal tier	7 / 10	Tier 3 — peer-reviewed journal (The Journal of Rural Health)
Journal's citation record	1 / 4	The Journal of Rural Health: journal h-index 94 (OpenAlex, 2026-10-29)
Study design	0 / 12	No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence	1 / 5	Rated “low” in our summary
Peer-review validation	10 / 10	Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent	2 / 5	2020 — within 10 year(s) of the newest study here
Sample size	0 / 4	Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported	2 / 3	Effect reported as a number, without an interval or test
Studied in people	0 / 3	Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomized / blinded	0 / 2	No randomization or blinding stated — scores zero (not stated in the record — scored 0)
Times cited	3 / 7	Cited 32 times (OpenAlex, 2026-10-10)
Citations per year	2 / 5	4.0 citations a year over 8 year(s) since 2020
Impact for its field and year	2 / 6	Cited 1.6× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here	2 / 6	Cited by 8 other studies in this library
Still being cited	2 / 4	Cited 22 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record	2 / 4	Last-listed author Jie Chen: h-index 41 (OpenAlex, whole career)
Institution's track record	1 / 3	University of Maryland, College Park: institution h-index 1,338 (OpenAlex)
Multicenter collaboration	0 / 3	OpenAlex lists 1 institution(s) in 1 country — scores zero (affiliation lists can be incomplete)
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 32613666)
Free to read	2 / 2	Free to read
Total	41 / 100	—

What each of these 20 components measures, and what this score is not →

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