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诊断不确定性给罕见病患者带来的经济负担。

The economic burden of diagnostic uncertainty on rare disease patients.

机构信息

Department of Nephrology, Hannover Medical School, Hanover, Germany.

Clinic of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hanover, Germany.

出版信息

BMC Health Serv Res. 2024 Nov 12;24(1):1388. doi: 10.1186/s12913-024-11763-w.

Abstract

BACKGROUND

It often takes a long time before a rare disease is diagnosed. Without a diagnosis, the right therapy often cannot be carried out and without the right therapy, the patients are denied the opportunity for a cure or relief from their symptoms. In addition, rare diseases can also have economic consequences for those affected. This study aimed to investigate the extent to which a rare disease affects the income and work performance of the patients concerned and whether the use of AI in diagnostics would have the potential to reduce economic losses.

METHODS

The work performance and income of 71 patients of the outpatient clinic for rare inflammatory systemic diseases with renal involvement at Hannover Medical School were analyzed during the course of the disease. The WHO Health and Work Performance Questionnaire (HPQ) was used to collect data. During the patient interviews, the questionnaire was completed four times: at the onset of the first symptoms, when a diagnostic decision support system (DDSS) would have suggested the correct diagnosis, at the time of diagnosis and at the current status.

RESULTS

With the onset of the diagnostic odyssey, the monthly net income of the patients under study dropped by an average of 5.32% due to lower work performance or work absenteeism. With the correct diagnosis, the original or even a better income of 11.92% could be achieved. Loss of income due to illness was more massive in patients with a rare disease with joint, muscle and connective tissue involvement than in patients with rare vasculitides. If a DDSS had been used, the loss of income would have been 2.66% instead of the actual 5.32%.

CONCLUSION

Rare diseases resulted in temporary or existing income losses in 28.17% of the patients. Losses in work performance and income were related to the type of disease and were more pronounced in patients with joint, muscle or connective tissue disease than in patients with rare vasculitides. The use of a DDSS may have the potential to reduce the negative income effects of patients through earlier correct diagnosis.

TRIAL REGISTRATION

Retrospectively registered.

摘要

背景

罕见病的诊断往往需要很长时间。没有诊断,往往无法进行正确的治疗,而没有正确的治疗,患者就会失去治愈或缓解症状的机会。此外,罕见病也会给患者带来经济影响。本研究旨在调查罕见病对患者收入和工作表现的影响程度,以及诊断中使用人工智能是否有可能减少经济损失。

方法

分析了汉诺威医学院罕见炎症性系统性疾病伴肾受累门诊的 71 例患者的疾病过程中的工作表现和收入。使用世界卫生组织健康和工作表现问卷(HPQ)收集数据。在患者访谈中,问卷在四个时间点完成:首次出现症状时、诊断决策支持系统(DDSS)建议正确诊断时、诊断时和当前状态时。

结果

随着诊断之旅的开始,由于工作表现下降或旷工,研究患者的每月净收入平均下降了 5.32%。通过正确诊断,甚至可以实现原来的 11.92%的收入。患有关节、肌肉和结缔组织受累的罕见病患者的因病收入损失比患有罕见血管炎的患者更大。如果使用 DDSS,收入损失将从实际的 5.32%降至 2.66%。

结论

罕见病导致 28.17%的患者暂时或现有收入损失。工作表现和收入的损失与疾病类型有关,在患有关节、肌肉或结缔组织疾病的患者中比在患有罕见血管炎的患者中更为明显。使用 DDSS 可能通过更早的正确诊断来降低患者的负面收入影响。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/11558965/7b548b1d3579/12913_2024_11763_Fig1_HTML.jpg

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