Sanga Leah Anku, Njeim Carla, Ansbro Éimhín, Naimi Rima Kighsro, Ibrahim Ali, Schmid Benjamin, Diab Jasmin Lilian, Roswall Jytte, Clayton Tim, Larsen Lars Bruun, Perel Pablo
London School of Hygiene and Tropical Medicine, Department of Non-Communicable Diseases Epidemiology, Keppel street, London, WC1E 7HT, UK.
Lebanese Red Cross, Beirut, Lebanon.
Confl Health. 2025 Jan 29;19(1):5. doi: 10.1186/s13031-025-00646-4.
Non-communicable diseases (NCDs) are the leading cause of death globally, and many humanitarian crises occur in countries with high NCD burdens. Peer support is a promising approach to improve NCD care in these settings. However, evidence on peer support for people living with NCDs in humanitarian settings is limited. We evaluated the implementation of peer support groups (PSGs) for people with diabetes and/or hypertension as part of an integrated NCD care model in four primary care centers in Lebanon.
Our objectives were to: (1) evaluate the reach of the PSGs; (2) evaluate the association of PSGs with patient-reported outcomes; and (3) evaluate the association of PSGs with clinical outcomes (blood pressure, HbA1c, and BMI). We used a before-after study design and included a control group for clinical outcomes. The PSG intervention began in December 2022 and was carried out in two waves. The first wave was implemented from December 2022 to July 2023, and the second wave from July 2023 to January 2024. For the control group on clinical outcomes, we used data collected from January 2023 to January 2024. We used routinely collected programmatic and administrative data. The patient reported outcomes (PROMs) were collected at baseline and at six months by trained volunteers for all PSG participants. We performed a before-after analysis of PROMs for all patients who completed the PSG sessions. T-tests were used to analyze the differences in PROMs from baseline. Change in PROMs, together with 95% confidence intervals (CIs), and p-values for the changes were reported. To assess the association between the implementation of the PSG strategy and changes in clinical outcomes, including systolic blood pressure (SBP), glycated hemoglobin A1c (HbA1c), and body mass index (BMI), analysis of covariance (ANCOVA) models were used, adjusting for age, sex, and the baseline values of the outcome being analyzed (baseline SBP and baseline HbA1c, respectively).
A total of 445 patients were approached for enrolment in wave 1, 259 (58%) consented, of whom 81 were enrolled. In wave 2, 169 patients were approached, 92 (54%) consented of whom 91 were enrolled. We found some statistical evidence that PSG improved certain PROMs, including potentially clinical meaningful improvements in overall quality of life (wave 1), physical quality of life (wave 1), social quality of life (wave 2), environmental quality of life (wave 1), adherence (wave 2), patient centeredness (wave 1), and exercise (wave 1). However, we did not find strong statistical evidence of an improvement in clinical outcomes (SBP, HbA1c, or BMI) in participants of the PSGs compared to the control group. We found differences in the association of PSGs and outcomes between the two waves.
Our study showed mixed results. In terms of reach, over 50% of those approached consented to participate. Regarding the impact on PROMs, we observed improvements in most outcomes; however we found some statistical evidence only for some. We did not find strong statistical evidence of improvement in clinical outcomes compared to the control group. Differences between the two waves may be due to differences in the populations, the way the intervention was delivered, or the individuals implementing it. Additionally, as multiple outcomes were measured, some observed differences may be due to chance. We demonstrated that it is feasible to implement PSGs in humanitarian settings and found some statistical evidence of improvement in quality of life. Further studies should assess the implementation and impact of PSGs in ways that are well accepted by local stakeholders (including humanitarian actors and people living with NCDs) and are potentially amenable to scale-up.
非传染性疾病(NCDs)是全球主要死因,许多人道主义危机发生在非传染性疾病负担较高的国家。同伴支持是改善这些环境中NCD护理的一种有前景的方法。然而,关于人道主义环境中NCD患者同伴支持的证据有限。我们评估了在黎巴嫩四个初级保健中心作为综合NCD护理模式一部分的糖尿病和/或高血压患者同伴支持小组(PSGs)的实施情况。
我们的目标是:(1)评估PSGs的覆盖范围;(2)评估PSGs与患者报告结果之间的关联;(3)评估PSGs与临床结果(血压、糖化血红蛋白A1c和体重指数)之间的关联。我们采用前后研究设计,并纳入了临床结果的对照组。PSG干预于2022年12月开始,分两波进行。第一波于2022年12月至2023年7月实施,第二波于2023年7月至2024年1月实施。对于临床结果的对照组,我们使用了2023年1月至2024年1月收集的数据。我们使用常规收集的项目和行政数据。患者报告结果(PROMs)由经过培训的志愿者在基线和六个月时为所有PSG参与者收集。我们对所有完成PSG课程的患者的PROMs进行了前后分析。使用t检验分析PROMs与基线的差异。报告了PROMs的变化以及95%置信区间(CIs)和变化的p值。为了评估PSG策略的实施与临床结果变化之间的关联,包括收缩压(SBP)、糖化血红蛋白A1c(HbA1c)和体重指数(BMI),使用了协方差分析(ANCOVA)模型,并对年龄、性别以及所分析结果的基线值(分别为基线SBP和基线HbA1c)进行了调整。
在第一波中,共有445名患者被邀请入组,259名(58%)同意,其中81名被纳入。在第二波中,169名患者被邀请,92名(54%)同意,其中91名被纳入。我们发现一些统计证据表明PSG改善了某些PROMs,包括总体生活质量(第一波)、身体生活质量(第一波)、社会生活质量(第二波)、环境生活质量(第一波)、依从性(第二波)、以患者为中心(第一波)和运动(第一波)方面潜在的具有临床意义的改善。然而,与对照组相比,我们没有发现PSG参与者临床结果(SBP、HbA1c或BMI)改善的有力统计证据。我们发现两波中PSGs与结果之间的关联存在差异。
我们的研究结果喜忧参半。在覆盖范围方面,超过50%被邀请者同意参与。关于对PROMs的影响,我们观察到大多数结果有所改善;然而,我们仅发现部分结果有一些统计证据。与对照组相比,我们没有发现临床结果改善的有力统计证据。两波之间的差异可能是由于人群差异、干预实施方式或实施干预的个体不同。此外,由于测量了多个结果,一些观察到的差异可能是偶然的。我们证明了在人道主义环境中实施PSGs是可行的,并发现了一些生活质量改善的统计证据。进一步的研究应以当地利益相关者(包括人道主义行为者和NCD患者)广泛接受且可能适合扩大规模的方式评估PSGs的实施和影响。