Improving the Quality and Completeness of Discharge Summaries at a Tertiary Care Hospital in Pakistan: A Quality Improvement Project.

IF 1.3 Q3 MEDICINE, GENERAL & INTERNAL Cureus Pub Date : 2024-03-14 eCollection Date: 2024-03-01 DOI:10.7759/cureus.56134
Faizan Fazal, Maham L Adil, Talha Ijaz, Shahrukh Ahmad Khan, Ahmed Imran Butt, Areesha Abid, Muhammad N Bashir, Saima Ambreen, Taha Z Chaudhry, Bilal H Malik
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Abstract

Introduction Discharge summaries (DS) allow continued patient care after being discharged from the hospital. Only a few quality improvement projects (QIPs) focused on assessing and improving the quality and completeness of DS at tertiary care hospitals have been undertaken in Pakistan. This QIP aimed to evaluate and enhance the quality and completeness of DS at a tertiary care hospital in Pakistan to facilitate seamless healthcare transitions. Methods A QIP was conducted in the medical unit of a tertiary care hospital in Rawalpindi, Pakistan. The DS were assessed using the e-discharge summary self-assessment checklist devised by the Royal College of Physicians (RCP). This QIP was done by the plan, do, study, act (PDSA) cycle. The PDSA cycle comprised two audit cycles and an intervention in between them. The first audit cycle (AC) was conducted on 150 DS. Its duration was from March 2023 to June 2023. An educational workshop was conducted before the re-audit cycle (RAC) to address deficiencies and reinforce the implementation of the guidelines provided by the RCP. The RAC was conducted from June 2023 to August 2023. 100 DS were studied and analyzed to assess for improvement in the completeness of DS. Frequencies and percentages were calculated in each audit cycle. The Chi-squared test was applied to compare the statistical difference between the results of both audit cycles. Results A total of 150 DS were analyzed in the first AC and 100 DS in the RAC. The results of the first AC show that the details of any allergies were recorded only in 3% of the DS; this percentage significantly improved to 51% after the RAC (p-value <0.05). Relevant past medical history was included in 52% and 88% of the DS during the first AC and RAC, respectively (p-value <0.05). Secondary diagnoses were written in 54% and 71% of the DS during the first AC and RAC, respectively (p-value <0.05). Details of relevant investigations were included in 60% and 88% of the DS during the first AC and RAC, respectively (p-value <0.05). The post-discharge management plan was written in 90% and 98% of the DS during the first AC and RAC, respectively (p-value <0.05). The follow-up plan was written clearly in 65% and 93% of the DS during the first AC and RAC, respectively (p-value <0.05).  Conclusion The DS was found to be incomplete after analyzing the results of the first AC. The details related to allergies, medications, operations, and procedures were found to be missing in the majority of the cases. No mention of the patient's concerns or expectations was made in the DS. The results of the RAC showed improvement in the level of completeness of DS. The majority of the weak points observed after the first AC seemed to have improved after the RAC, which shows that intervention proved to be quite effective in improving the completeness and quality of DS. The RAC showed significant improvement in the completeness of the details relating to investigations, allergies, past medical history, secondary diagnoses, and the post-discharge follow-up plan. QIP must be routinely carried out to assess and improve the completeness and quality of DS at hospitals.

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提高巴基斯坦一家三级医院出院小结的质量和完整性:质量改进项目。
导言:出院摘要(DS)有助于在患者出院后继续为其提供护理服务。在巴基斯坦,只有少数质量改进项目(QIP)侧重于评估和改进三级医疗医院出院小结的质量和完整性。本质量改进项目旨在评估和提高巴基斯坦一家三级医院的出院记录质量和完整性,以促进医疗服务的无缝衔接。方法 在巴基斯坦拉瓦尔品第一家三级医院的医疗单位开展了 QIP。使用英国皇家内科医学院(RCP)设计的电子出院摘要自我评估清单对 DS 进行了评估。该 QIP 采用计划、实施、研究、行动 (PDSA) 循环的方式进行。PDSA 周期包括两个审核周期和中间的干预措施。第一个审核周期(AC)针对 150 名医疗卫生人员。持续时间为 2023 年 3 月至 2023 年 6 月。在重新审核周期(RAC)之前,举办了一个教育研讨会,以解决不足之处,并加强区域协调中心提供的指导方针的实施。重新审核周期从 2023 年 6 月至 2023 年 8 月。对 100 份数据表进行了研究和分析,以评估数据表完整性的改进情况。每个审核周期都计算了频率和百分比。采用卡方检验比较两个审核周期结果的统计差异。结果 第一个审计周期共分析了 150 份数据表,第二个审计周期分析了 100 份数据表。第一个审核周期的结果显示,只有 3% 的数据集记录了任何过敏症的详细信息;而在数据收集与分析审核周期后,这一比例明显提高到 51%(P 值为 0.05)。
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