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目的探讨就医时间在患者就医决策过程中产生的影响。方法 2015年7月选择十堰市一家医院的流动患者为调查对象,共调查100人。调查所有研究对象交通工具的选择、到达医院的时长、就诊等待时长、就诊时长、疾病治疗周期。计数资料比较采用χ2检验和Spearman相关分析,P<0.05为差异有统计学意义。结果就医时选择公交车的人数最多,占33.0%(33/100);在到达医疗机构的时间在60~120和≥120 min时,选择公交车的人数最多,分别占45.5%(5/11)、44.4%(4/9)。就诊等待时长<15 min的人数最多,占34.0%(34/100)。患者诊疗行为的持续时间主要集中在<30 min和30~60min,分别占46.0%(46/100)、38.0%(38/100)。不同疾病复发情况、文化程度的患者,疾病治疗周期不同,差异均有统计学意义(均P<0.05)。三种治疗方式的治疗周期都集中在2~7 d,共有61人(61.0%),其中服用药物28人(45.9%),输液24人(39.3%),住院9人(14.8%)。患者治疗方式与治疗周期呈正相关(r=0.219,P<0.05)。结论为了提高患者就医决策的科学性和降低决策负担,探索就医决策的时间影响因素,分析各个因素的影响机理,从而做出较为准确的就医决策。
Objective To explore the impact of medical treatment on the decision-making of patients during medical treatment. Methods In July 2015, 100 migrant patients in a hospital in Shiyan City were selected as the survey subjects. All subjects were surveyed for choice of vehicles, time to hospital, waiting time for treatment, length of stay, disease treatment cycles. Counting data were compared using χ2 test and Spearman correlation analysis, P <0.05 for the difference was statistically significant. As a result, 33.0% (33/100) chose buses for medical treatment and 45.5% for buses (45.5%) when they arrived at medical institutions in 60 to 120 and 120 minutes ), 44.4% (4/9). The number of visits <15 min was the largest, accounting for 34.0% (34/100). The duration of diagnosis and treatment of patients mainly concentrated in <30 min and 30 ~ 60 min, accounting for 46.0% (46/100) and 38.0% (38/100), respectively. Different diseases recurrence, education level of patients, disease treatment cycles are different, the differences were statistically significant (P <0.05). The treatment cycles of the three treatment methods all focused on 2 to 7 days, with a total of 61 (61.0%) patients, of whom 28 (45.9%) took medicine, 24 (39.3%) received infusion and 9 (14.8%) were hospitalized. Patient treatment and treatment cycle was positively correlated (r = 0.219, P <0.05). Conclusion In order to improve the scientific decision-making of patients and reduce the burden of decision-making, explore the time influencing factors of medical decision-making and analyze the influence mechanism of each factor, so as to make a more accurate medical decision-making.