Takasawa Kei, Mabe Hiroyo, Nagamatsu Fusa, Amano Naoko, Miyakawa Yuichi, Sutani Akito, Kagawa Reiko, Okada Satoshi, Tanahashi Yusuke, Suzuki Shigeru, Hiroshima Shota, Nagasaki Keisuke, Dateki Sumito, Takishima Shigeru, Takahashi Ikuko, Kashimada Kenichi
Department of Pediatrics and Developmental Biology, Tokyo Medical and Dental University (TMDU), Tokyo, Japan.
Department of Pediatrics, Kumamoto University Hospital, Kumamoto, Japan.
Patient Prefer Adherence. 2023 Aug 1;17:1885-1894. doi: 10.2147/PPA.S417142. eCollection 2023.
Although the treatment success of long-term growth hormone therapy (GHT) is dependent on maintaining patients' adherence to treatment, marked variations in adherence levels among children with GHT (eg, 7-71% nonadherence) have been reported. Barriers to or promoters of GHT adherence have been discussed and investigated, and digital health technologies, such as electronic GH injection devices, may have the potential to assess adherence to GHT more accurately. Thus, we conducted a multicenter, retrospective cohort study using GH injection log analysis of an electronic GH device, GROWJECTORL, to qualify adherence and explore the factors influencing adherence.
This study enrolled 41 patients (median[range] age, 5.8[3.0 ~ 17.0] years) with short stature from nine Japanese medical institutions. The injection log data (12-48 weeks) were read by smartphones and collected into the data center through a cloud server.
Although cumulative adherence rates remained higher than 95% throughout the observation period, five (12.2%) patients had low adherence (<85%). Subsequently, subgroup and logistic regression analyses for exploring factors affecting adherence revealed that self-selection of GH device and irregular injection schedule (ie, frequent injections after midnight) significantly affected adherence rate (=0.034 and 0.048, respectively). In addition, higher rates of irregular injections significantly affected low adherence (median[range], 11.26[0.79 ~ 30.50]% vs 0.26[0.00 ~ 33.33]%, = 0.029).
Our study indicated that injection log analysis using an electronic GH device could detect irregular injection schedules due to a night owl or disturbance in lifetime rhythm affecting low adherence and had significant potential to encourage collaborative monitoring of adherence with healthcare providers and patients themselves/caregivers, along with growing autonomy and shared decision-making. Our study suggests the significance of narrative and personal approaches to adherence of patients with GHT and the usefulness of digital devices for such an approach and for removing various barriers to patient autonomy, leading to improvement and maintenance of adherence.
尽管长期生长激素治疗(GHT)的治疗成功取决于维持患者对治疗的依从性,但据报道,接受GHT治疗的儿童的依从性水平存在显著差异(例如,7%-71%的不依从率)。GHT依从性的障碍或促进因素已得到讨论和研究,数字健康技术,如电子生长激素注射装置,可能有潜力更准确地评估GHT的依从性。因此,我们进行了一项多中心回顾性队列研究,使用电子生长激素装置GROWJECTORL的生长激素注射记录分析来确定依从性,并探索影响依从性的因素。
本研究纳入了来自日本九家医疗机构的41例身材矮小患者(中位年龄[范围]为5.8[3.0~17.0]岁)。注射记录数据(12-48周)由智能手机读取,并通过云服务器收集到数据中心。
尽管在整个观察期内累积依从率仍高于95%,但有5例(12.2%)患者依从性较低(<85%)。随后,用于探索影响依从性因素的亚组分析和逻辑回归分析表明,生长激素装置的自我选择和不规律的注射时间表(即午夜后频繁注射)显著影响依从率(分别为P=0.034和0.048)。此外,更高的不规律注射率显著影响低依从性(中位[范围],11.26[0.7930.50]%对0.26[0.0033.33]%,P=0.029)。
我们的研究表明,使用电子生长激素装置进行注射记录分析可以检测到由于夜猫子习惯或生活节奏紊乱导致的不规律注射时间表,这会影响低依从性,并且在鼓励医疗保健提供者与患者本人/护理人员合作监测依从性方面具有巨大潜力,同时还能增强自主性和共同决策能力。我们的研究表明了针对GHT患者依从性采用叙述性和个性化方法的重要性,以及数字设备对于这种方法的有用性,以及消除影响患者自主性的各种障碍,从而提高和维持依从性。