Pio Isabel Dielle Souza Lima, Nunes Deuzilane Muniz, Barros Josilenne Ferreira, Silva Fabrício Souza
Universidade Estadual de Feira de Santana, Programa de Pós-Graduação em Biotecnologia, Feira de Santana, BA, Brazil.
Universidade Federal do Vale do São Francisco, Colegiado do Curso de Farmácia, Petrolina, PE, Brazil.
Epidemiol Serv Saude. 2025 Aug 4;34:e20240220. doi: 10.1590/S2237-96222025v34e20240220.en. eCollection 2025.
To develop and validate the psychometric properties of a screening and recovery instrument for signs and symptoms associated with COVID-19 or post-acute COVID-19 syndrome.
This study consisted of four stages: literature mapping; development of the instrument; content validation; and assessment of internal consistency and criterion validity for some items. Content validation was conducted via an online panel, using the Likert scale and the Delphi technique for concordance, summarized by the content validity index. Internal consistency was assessed by calculating and analyzing Cronbach's alpha coefficient. The analysis of concurrent validity was conducted using Spearman's and intraclass correlation coefficients.
Twenty publications were selected: 17 observational studies and 3 systematic reviews. The tool prototype was sent for content validation with 23 expert judges. After changes, a content validity index of 0.83 was obtained, indicating excellent concordance. The current version of the Screening and Analysis Form for the Recovery Trajectory of Symptoms Potentially Related to Covid-19 was applied to 70 people six weeks after hospital discharge due to severe COVID-19 and showed reasonable internal consistency (Cronbach's α=0.76). The items best correlated with the scores of the contrasted instruments or domains were dyspnea (Spearman's ρ=0.93; p-value 0.007) and malaise (intraclass correlation coefficient=-0.73; 95% confidence interval -2.44; 0.30).
The instrument had satisfactory content and correlation validity for the items compared.
开发并验证一种用于筛查与新型冠状病毒肺炎（COVID-19）或急性 COVID-19 后综合征相关体征和症状的筛查与恢复工具的心理测量特性。
本研究包括四个阶段：文献梳理；工具开发；内容验证；以及对部分项目的内部一致性和效标效度评估。内容验证通过在线专家小组进行，使用李克特量表和德尔菲技术进行一致性分析，以内容效度指数进行总结。通过计算和分析克朗巴哈α系数评估内部一致性。采用斯皮尔曼相关系数和组内相关系数进行同时效度分析。
筛选出 20 篇文献：17 项观察性研究和 3 篇系统评价。将工具原型发送给 23 位专家评委进行内容验证。修改后，内容效度指数为 0.83，表明一致性良好。将当前版本的《COVID-19 潜在相关症状恢复轨迹筛查与分析表》应用于 70 名因重症 COVID-19 出院六周后的患者，显示出合理的内部一致性（克朗巴哈α = 0.76）。与对照工具或领域得分相关性最佳的项目是呼吸困难（斯皮尔曼ρ = 0.93；p 值 0.007）和不适（组内相关系数 = -0.73；95%置信区间 -2.44；0.30）。
该工具在比较项目方面具有令人满意的内容效度和相关性效度。
