| Title |
Association of high psychiatrist staffing with prolonged hospitalization, follow-up visits, and readmission in acute psychiatric units: a retrospective cohort study using a nationwide claims database
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, March 2018
|
| DOI | 10.2147/ndt.s160176 |
| Pubmed ID | |
| Authors |
Yasuyuki Okumura, Naoya Sugiyama, Toshie Noda, Nobuo Sakata |
| Abstract |
The effects of psychiatrist staffing are unclear. The aim of this study was to assess the association of high psychiatrist staffing with prolonged hospitalization, follow-up visits, and readmission in acute psychiatric units. A retrospective cohort study was conducted using the National Database of Health Insurance Claim Information and Specified Medical Checkups. Patients newly admitted to acute psychiatric units between October 2014 and September 2015 were followed up until September 2016. The primary exposure was a patient-to-psychiatrist ratio of 16:1 (high-staffing units) vs 48:1 (low-staffing units). Outcomes were prolonged hospitalization of >90 days, number of follow-up psychiatric visits within 90 days after discharge, and psychiatric readmission within 90 days after discharge. Incidence rate ratios (IRRs) and their 95% confidence intervals (CIs) were estimated by using generalized estimating equations, adjusting for potential covariates. Among the 24,678 newly admitted patients at 190 hospitals, 13,138 patients (53.2%) were admitted to high-staffing units in 92 hospitals. After adjustment, high-staffing units were associated with a lower risk of prolonged hospitalization (incidence rate, 16.9 vs 21.3%; IRR, 0.79 [95% CI, 0.70, 0.89]), higher number of follow-up visits (incidence rate of ≥7 visits, 16.9 vs 13.4%; IRR, 1.06 [95% CI, 1.01, 1.12]), and lower risk of readmission (incidence rate, 13.0 vs 14.4%; IRR, 0.90 [95% CI, 0.82, 0.99]). High-staffing units are associated with a reduced risk of prolonged hospitalization and readmission and an increased number of follow-up visits. Further research is needed to improve the generalizability of these findings and establish the optimal level of staffing. |
X Demographics
The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 13 | 43% |
| Unknown | 17 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 93% |
| Practitioners (doctors, other healthcare professionals) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Student > Doctoral Student | 3 | 13% |
| Researcher | 3 | 13% |
| Other | 2 | 8% |
| Student > Master | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 29% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Neuroscience | 2 | 8% |
| Economics, Econometrics and Finance | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 65. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 February 2022.
All research outputs
#663,823
of 25,622,179 outputs
Outputs from Neuropsychiatric Disease and Treatment
#82
of 3,140 outputs
Outputs of similar age
#15,039
of 345,572 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#2
of 76 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,140 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 345,572 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.