Avey Jaedon P, Schaefer Krista R, Noonan Carolyn J, Muller Clemma J, Mosley Michael, Galvin James E
Southcentral Foundation, Anchorage, AK, USA.
Institute for Research and Education to Advance Community Health, Washington State University, Spokane, WA, USA.
J Alzheimers Dis Rep. 2022 Jul 11;6(1):401-410. doi: 10.3233/ADR-210062. eCollection 2022.
Alaska Native and American Indian (AN/AI) people represent a rapidly aging population with disproportionate burdens of Alzheimer's disease and related dementias (ADRD) risk factors.
To characterize healthcare service use patterns and mortality in the years following ADRD diagnosis for patients in an Alaska Native Tribal health system.
The study sample included all AN/AI patients aged 55 or older with an ADRD diagnosis who were seen between 2012-2018 ( = 407). We used cluster analysis to identify distinct patterns of healthcare use for primary care, emergency and urgent care, inpatient hospital stays, and selected specialty care. We compared demographic and clinical factors between clusters and used regression to compare mortality.
We identified five clusters of healthcare service use patterns after ADRD diagnosis: 1) people who use a low amount of all services ( = 107), 2) people who use a high amount of all services ( = 60), 3) people who use a high amount of primary and specialty care ( = 105), 4) people who use a high amount of specialty care ( = 65), and 5) people who use a high amount of emergency and urgent care ( = 70). The cluster with the highest use had the greatest proportion of comorbidities and had a 2.3-fold increased risk of mortality compared to the cluster with the lowest healthcare service use.
Results indicate that those receiving the most services had the greatest healthcare-related needs and increased mortality. Future research could isolate factors that predict service use following ADRD diagnosis and identify other differential health risks.
阿拉斯加原住民和美国印第安人是一个快速老龄化的群体,承受着不成比例的阿尔茨海默病及相关痴呆症(ADRD)风险因素负担。
描述阿拉斯加原住民部落卫生系统中ADRD诊断后患者的医疗服务使用模式和死亡率。
研究样本包括2012年至2018年间确诊为ADRD的所有55岁及以上的阿拉斯加原住民和美国印第安人患者(n = 407)。我们使用聚类分析来确定初级保健、急诊和紧急护理、住院治疗以及选定专科护理的不同医疗服务使用模式。我们比较了不同聚类之间的人口统计学和临床因素,并使用回归分析来比较死亡率。
我们在ADRD诊断后确定了五种医疗服务使用模式聚类:1)所有服务使用量低的人群(n = 107),2)所有服务使用量高的人群(n = 60),3)初级和专科护理使用量高的人群(n = 105),4)专科护理使用量高的人群(n = 65),5)急诊和紧急护理使用量高的人群(n = 70)。使用量最高的聚类中合并症比例最高,与医疗服务使用量最低的聚类相比,死亡率风险增加了2.3倍。
结果表明,接受服务最多的人群有最大的医疗相关需求且死亡率增加。未来的研究可以分离出预测ADRD诊断后服务使用情况的因素,并识别其他不同的健康风险。