reSET-O治疗阿片类药物使用障碍后医疗资源利用的实际减少

数据集获取（Figshare）

• 源站标题：Real-world reduction in healthcare resource utilization following treatment of opioid use disorder with reSET-O, a novel prescription digital therapeutic
• DOI：10.6084/m9.figshare.13187512.v1
• 发布日期：2020-11-04
• 文件数：1 个
• 文件总体积：17.73 KB
• 源站页面：https://tandf.figshare.com/articles/dataset/Real-world_reduction_in_healthcare_resource_utilization_following_treatment_of_opioid_use_disorder_with_reSET-O_a_novel_prescription_digital_therapeutic/13187512

命令行下载

curl -L -o "ierp_a_1840357_sm2216.xlsx" "https://ndownloader.figshare.com/files/25387819"

文件清单

• ierp_a_1840357_sm2216.xlsx（17.73 KB）

文件总体积 17.73 KB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Buprenorphine medication assisted treatment (B-MAT) adherence for opioid use disorder (OUD) is suboptimal. reSET-O, an FDA-cleared prescription digital therapeutic, delivers neurobehavioral therapy (community-reinforcement approach+fluency training+contingency management) to B-MAT-treated OUD patients.
This retrospective claims study (10/01/2018-10/31/2019) evaluated healthcare resource utilization up to 6 months before/after reSET-O initiation. Repeated-measures negative binomial models compared incidences of encounters/procedures. Net change in costs was assessed.
Among 351 patients (mean age 37; 59.5% female; 82.6% Medicaid), 334 had pharmacy claims and 240 (71.9%) received buprenorphine pre-/post-index (medication possession ratio 0.73 and 0.82, respectively; P = 0.004). Facility encounters decreased, with 45 fewer inpatient (P = 0.024) and 27 fewer emergency department (ED) visits (P = 0.247). Clinical encounters with largest changes were drug testing (638 fewer; P 0.001), psychiatry (349 fewer; P = 0.036), case management (176 additional; P = 0.588), other pathology/laboratory (166 fewer; P = 0.039), office/other outpatient (154 fewer; P = 0.302), behavioral rehabilitation (111 additional; P = 0.124), alcohol/substance rehabilitation (96 fewer; P = 0.348), other rehabilitation (66 fewer; P = 0.387), mental health rehabilitation (61 additional; P = 0.097), and surgery (60 fewer; P = 0.070). Changes in facility/clinical encounters saved $2,150/patient.
reSET-O initiation was associated with fewer inpatient, ED, and other clinical encounters, increased case management/rehabilitative services, and lower net costs over six months.
Real-world evidence is helpful in evaluating the effectiveness of interventions in usual-care conditions, outside of controlled research environments. Large observational studies based on health care claims are important to understand the actual pharmacoeconomic and outcomes impact of interventions at the health care system and population level.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.13187512.v1（source: https://tandf.figshare.com/articles/dataset/Real-world_reduction_in_healthcare_resource_utilization_following_treatment_of_opioid_use_disorder_with_reSET-O_a_novel_prescription_digital_therapeutic/13187512）。