Isadru Vuchiri Ray, Nanyonga Rose Clarke, Alege John Bosco
Institute of Public Health and Management, Clark International University, Kampala, Uganda.
School of Public Health and Applied Human Sciences, Kenyatta University, Nairobi, Kenya.
J Trop Med. 2021 Jan 22;2021:1415794. doi: 10.1155/2021/1415794. eCollection 2021.
NCDs are the greatest global contributors to morbidity and mortality and are a major health challenge in the 21st century. The global burden of NCDs remains unacceptably high. Access to care remains a challenge for the majority of persons living with NCDs in sub-Saharan Africa. In Uganda, 55% of refugee households, including those with chronic illnesses, lack access to health services. Of these, 56% are in the West-Nile region where the Bidibidi settlement is located, with 61% of its refugee households in need of health services especially for NCDs (UNHCR, 2019). Data on NCDs in Bidibidi are scarce. Unpublished health facilities' (HFs) data indicate that cardiovascular diseases (CVDs) (54.3%) and metabolic disorders (20.6%) were the leading causes of consultation for major NCDs (IRC, 2019). No readiness assessment has ever been conducted to inform strategies for the efficient management of NCDs to avert more morbidity, mortality, and the economic burden associated with NCD management or complications among refugees. This study sought to determine the readiness of HFs in managing hypertension (HTN) and diabetes cases at primary health facilities in the Bidibidi refugee settlement, Yumbe district, Uganda.
The study used facility-based, cross-sectional design and quantitative approach to assess readiness for the management of HTN and diabetes. All the 16 HFs at the Health Centre III (HCIII) level in Bidibidi were studied, and a sample size of 148 healthcare workers (HCWs) was determined using Yamane's formula (1967). Proportionate sample sizes were determined at each HF and the simple random sampling technique was used. HF data were collected using the Service Availability and Readiness Assessment (SARA) checklist and a structured questionnaire used among HCWs. Data were analyzed using SPSS version 20. Univariate analysis involved descriptive statistics; bivariate analysis used chi-square, Fisher's exact test, and multivariable regression analysis for readiness of HCWs.
16 HCIIIs were studied in five zones and involved 148 HCWs with a mean age of 28 (std ±4) years. The majority 71.6% (106) were aged 20-29 years, 52.7% were females, and 37.8% (56/148) were nurses. Among the 16 HFs, readiness average score was 71.7%. The highest readiness score was 89.5% while the lowest was 52.6%. The 16 HFs had 100% diagnostic equipment, 96% had diagnostics, and 58.8% had essential drugs (low for nifedipine, 37.5%, and metformin, 31.2%). Availability of guidelines for the management of HTN and diabetes was 94%, but only low scores were observed for job aid (12.5%), trained staff (50%), and supervision visits (19%). Only 6.25% of the HFs had all the clinical readiness parameters. On the other hand, only 24% (36) of the HCWs were found to be ready to manage HTN and diabetes cases. Chi-square tests on sex ( < 0.001), education level (=0.002), and Fisher's tests on profession ( < 0.001) established that HCWs with bachelor's degree (AOR = 3.15, 95% CI: 0.569-17.480) and diploma (AOR = 2.93, 95% CI: 1.22-7.032) were more likely to be ready compared to the reference group (certificate holders). Medical officers (AOR = 4.85, 95% CI: 0.108-217.142) and clinical officers (AOR = 3.79, 95 CI: 0.673-21.336) were more likely to be ready compared to the reference group, and midwives (AOR = 0.12, 95% CI: 0.013-1.097) were less likely to be ready compared to the reference group. In addition, female HCWs were significantly less likely to be ready compared to male HCWs (AOR = 0.19, 95% CI: 0.073-474).
HFs readiness was high, but readiness among HCWs was low. HFs had high scores in equipment, diagnostics, and guidelines, but essential drugs, trained staff, and supervision visits as well HCWs had low scores in trainings and supervisions received. Being male, bachelor's degree holders, diploma holders, medical officers, and clinical officers increased the readiness of the HCWs.
非传染性疾病是全球发病和死亡的主要原因,是21世纪的一项重大健康挑战。全球非传染性疾病负担仍然高得令人无法接受。对于撒哈拉以南非洲的大多数非传染性疾病患者来说,获得医疗服务仍然是一项挑战。在乌干达,55%的难民家庭,包括患有慢性病的家庭,无法获得医疗服务。其中,56%位于比迪比迪定居点所在的西尼罗河地区,该地区61%的难民家庭需要医疗服务,尤其是非传染性疾病方面的服务(联合国难民署,2019年)。比迪比迪的非传染性疾病数据稀缺。未发表的卫生设施数据表明,心血管疾病(54.3%)和代谢紊乱(20.6%)是主要非传染性疾病就诊的主要原因(国际救援委员会,2019年)。从未进行过准备情况评估,以制定有效管理非传染性疾病的策略,以避免更多的发病、死亡以及与难民非传染性疾病管理或并发症相关的经济负担。本研究旨在确定乌干达尤姆贝区比迪比迪难民营初级卫生设施中卫生设施管理高血压和糖尿病病例的准备情况。
本研究采用基于设施的横断面设计和定量方法来评估高血压和糖尿病管理的准备情况。对比迪比迪所有16个三级卫生中心(HCIII)进行了研究,并使用山根公式(1967年)确定了148名医护人员的样本量。在每个卫生设施确定成比例的样本量,并使用简单随机抽样技术。通过服务可用性和准备情况评估(SARA)清单和医护人员使用的结构化问卷收集卫生设施数据。使用SPSS 20版进行数据分析。单变量分析涉及描述性统计;双变量分析使用卡方检验、费舍尔精确检验和多变量回归分析来评估医护人员的准备情况。
在五个区域研究了16个HCIII,涉及148名医护人员,平均年龄为28(标准差±4)岁。大多数(71.6%,106人)年龄在20 - 29岁之间,52.7%为女性,37.8%(56/148)为护士。在16个卫生设施中,准备情况平均得分71.7%。最高准备得分89.5%,最低得分52.6%。16个卫生设施拥有诊断设备的比例为100%,有诊断能力的比例为96%,有基本药物的比例为58.8%(硝苯地平为37.5%,二甲双胍为31.2%,比例较低)。高血压和糖尿病管理指南的可用性为94%,但在工作辅助工具(12.5%)、经过培训的工作人员(50%)和监督访问(19%)方面得分较低。只有6.25%的卫生设施具备所有临床准备参数。另一方面,仅发现24%(36人)的医护人员准备好管理高血压和糖尿病病例。关于性别的卡方检验(<0.001)、教育水平(=0.002)以及关于职业的费舍尔检验(<0.001)表明,与参照组(证书持有者)相比,拥有学士学位(调整后比值比[AOR]=3.15,95%置信区间:0.569 - 17.480)和文凭(AOR=2.93,95%置信区间:1.22 - 7.032)的医护人员更有可能做好准备。与参照组相比,医疗官员(AOR=4.85,95%置信区间:0.108 - 217.142)和临床官员(AOR=3.79,95%置信区间:0.673 - 21.336)更有可能做好准备,而与参照组相比,助产士(AOR=0.12,95%置信区间:0.013 - 1.097)做好准备的可能性较小。此外,与男性医护人员相比,女性医护人员做好准备的可能性显著较低(AOR=0.19,95%置信区间:0.073 - 0.474)。
卫生设施的准备情况较高,但医护人员的准备情况较低。卫生设施在设备、诊断能力和指南方面得分较高,但基本药物、经过培训的工作人员和监督访问以及医护人员在接受的培训和监督方面得分较低。男性、拥有学士学位者、拥有文凭者、医疗官员和临床官员提高了医护人员的准备程度。