Stewart Barclay T, Gyedu Adam, Quansah Robert, Addo Wilfred Larbi, Afoko Akis, Agbenorku Pius, Amponsah-Manu Forster, Ankomah James, Appiah-Denkyira Ebenezer, Baffoe Peter, Debrah Sam, Donkor Peter, Dorvlo Theodor, Japiong Kennedy, Kushner Adam L, Morna Martin, Ofosu Anthony, Oppong-Nketia Victor, Tabiri Stephen, Mock Charles
Department of Surgery, University of Washington, Seattle, WA, USA; School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; Department of Surgery, Komfo Anokye Teaching Hospital, Kumasi, Ghana; Department of Interdisciplinary Health Sciences, Stellenbosch University, Cape Town, South Africa.
School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; Department of Surgery, Komfo Anokye Teaching Hospital, Kumasi, Ghana.
Injury. 2016 Jan;47(1):211-9. doi: 10.1016/j.injury.2015.09.007. Epub 2015 Sep 28.
Prospective clinical audit of trauma care improves outcomes for the injured in high-income countries (HICs). However, equivalent, context-appropriate audit filters for use in low- and middle-income country (LMIC) district-level hospitals have not been well established. We aimed to develop context-appropriate trauma care audit filters for district-level hospitals in Ghana, was well as other LMICs more broadly.
Consensus on trauma care audit filters was built between twenty panellists using a Delphi technique with four anonymous, iterative surveys designed to elicit: (i) trauma care processes to be measured; (ii) important features of audit filters for the district-level hospital setting; and (iii) potentially useful filters. Filters were ranked on a scale from 0 to 10 (10 being very useful). Consensus was measured with average percent majority opinion (APMO) cut-off rate. Target consensus was defined a priori as: a median rank of ≥9 for each filter and an APMO cut-off rate of ≥0.8.
Panellists agreed on trauma care processes to target (e.g. triage, phases of trauma assessment, early referral if needed) and specific features of filters for district-level hospital use (e.g. simplicity, unassuming of resource capacity). APMO cut-off rate increased successively: Round 1--0.58; Round 2--0.66; Round 3--0.76; and Round 4--0.82. After Round 4, target consensus on 22 trauma care and referral-specific filters was reached. Example filters include: triage--vital signs are recorded within 15 min of arrival (must include breathing assessment, heart rate, blood pressure, oxygen saturation if available); circulation--a large bore IV was placed within 15 min of patient arrival; referral--if referral is activated, the referring clinician and receiving facility communicate by phone or radio prior to transfer.
This study proposes trauma care audit filters appropriate for LMIC district-level hospitals. Given the successes of similar filters in HICs and obstetric care filters in LMICs, the collection and reporting of prospective trauma care audit filters may be an important step towards improving care for the injured at district-level hospitals in LMICs.
在高收入国家(HICs),对创伤护理进行前瞻性临床审计可改善伤者的治疗效果。然而,在低收入和中等收入国家(LMICs)的地区级医院中,尚未建立起与之等效且适合当地情况的审计筛选标准。我们旨在为加纳的地区级医院以及更广泛的其他低收入和中等收入国家制定适合当地情况的创伤护理审计筛选标准。
20名小组成员采用德尔菲技术,通过四轮匿名迭代调查达成了关于创伤护理审计筛选标准的共识,旨在确定:(i)要衡量的创伤护理流程;(ii)地区级医院环境下审计筛选标准的重要特征;(iii)可能有用的筛选标准。筛选标准按0至10分进行排名(10分为非常有用)。用平均多数意见百分比(APMO)截止率来衡量共识程度。预先设定的目标共识定义为:每个筛选标准的中位数排名≥9,APMO截止率≥0.8。
小组成员就目标创伤护理流程(如分诊、创伤评估阶段、必要时早期转诊)以及地区级医院使用的筛选标准的具体特征(如简单性、不假定资源能力)达成了一致。APMO截止率依次提高:第一轮为0.58;第二轮为0.66;第三轮为0.76;第四轮为0.82。在第四轮之后,就22项创伤护理和转诊特定筛选标准达成了目标共识。示例筛选标准包括:分诊——到达后15分钟内记录生命体征(必须包括呼吸评估、心率、血压、如有条件还需包括血氧饱和度);循环——患者到达后15分钟内放置大口径静脉输液管;转诊——如果启动转诊,转诊医生和接收机构在转运前通过电话或无线电进行沟通。
本研究提出了适用于低收入和中等收入国家地区级医院的创伤护理审计筛选标准。鉴于类似筛选标准在高收入国家取得的成功以及低收入和中等收入国家产科护理筛选标准的成功,收集和报告前瞻性创伤护理审计筛选标准可能是朝着改善低收入和中等收入国家地区级医院伤者护理迈出的重要一步。