Cognitive impairment is a core symptom in patients with schizophrenia, and compensatory cognitive training has been shown to be an effective intervention. However, most existing studies employ offline modes, with limited research on mobile health APP-based compensatory cognitive training.

This study aimed to evaluate the intervention effects and mechanisms of mobile health APP-based compensatory cognitive training in stable schizophrenia patients.

A total of 58 patients with stable schizophrenia from Ningxia Ning'an Hospital (June to December 2023) were randomized into a control group (n=29) and an intervention group (n=29) . The control group received conventional therapy and regular follow-up, while the intervention group underwent additional mobile health APP-based compensatory cognitive training for 12 weeks. Cognitive function and quality of life were assessed using the Brief Assessment of Cognition in Schizophrenia (BACS) and the Schizophrenia Quality of Life Scale (SQLS) , respectively. Pre- and post-intervention scores were compared, and mediation analysis was conducted to explore the relationship between group, BACS, and SQLS scores.

Of the initial cohort, 27 patients in each group completed the study. At 12 weeks, the intervention group demonstrated significantly higher BACS total scores and subscale scores (digit sequence, tower of london, verbal memory, semantic fluency, and word fluency) compared to the control group (P<0.05) . Additionally, SQLS total scores psychosocial and motivational-energetic dimension scores were significantly lower in the intervention group (P<0.05) . Mediation analysis revealed that BACS scores partially mediated the relationship between intervention subgroups and SQLS scores (indirect effect was -0.240, 95%CI ranged from -0.556 to -0.050) .

Implementing mHealth APP-based compensatory cognitive training for stable schizophrenia patients effectively enhances both cognitive functioning and quality of life. Moreover, it contributes to an individual's perception of a higher quality of life by improving overall cognitive functioning.

认知障碍是精神分裂症患者的核心症状之一，认知补偿训练是针对认知障碍的有效疗法，但当前相关研究的干预模式多以线下为主，基于移动医疗APP实施认知补偿训练的干预研究较少。

探讨基于移动医疗APP的认知补偿训练对稳定期精神分裂症患者的干预效果，并分析作用机制。

选取2023年6—12月于宁夏宁安医院就诊的稳定期精神分裂症患者58例为研究对象，随机将患者分为对照组（29例）和干预组（29例）。对照组采用常规治疗及定期随访，干预组在对照组的基础上实施基于移动医疗APP的认知补偿训练，干预时间为12周。采用简明精神分裂症认知功能测评量表（BACS）、精神分裂症生活质量量表（SQLS）分别评价患者的认知功能及生活质量。比较两组患者干预前和干预后的BACS得分和SQLS得分，并检验BACS得分在组别和SQLS得分间的中介效应。

最终对照组27例、干预组27例患者完成研究。干预12周时，干预组BACS总分及数字序列、伦敦塔、言语记忆、语义流畅性、字词流畅性分量表得分高于对照组（P<0.05），SQLS总分及心理社会、动机精力维度得分低于对照组（P<0.05）。中介效应分析结果显示，BACS得分在组别和SQLS得分间起部分中介作用（间接效应为-0.240，95%CI=-0.556~-0.050）。

对稳定期精神分裂症患者实施基于移动医疗APP的认知补偿训练，能够有效改善患者认知功能和生活质量，并可以通过改善总体认知功能来促进个体感知到更高水平的生活质量。