孙小惠
双鸭山双矿医院 黑龙江双鸭山 155100
摘要:目的:研究药学服务对住院高血压病人合理用药的效果和影响。 方法:以我院84例住院高血压患者为研究对象,分为42例一组。对照组实施常规护理服务,观察组采取药学服务干预,观察两组患者干预前后的血压水平,以及对治疗依从度。 结果:药学服务干预前,两组患者的血压水平无较大差异,药学服务干预后,观察组的血压水平有明显下降,且观察组用药总依从度为95.24%,大于对照组的80.95%(p值<0.05)。 结论:药学服务可以提高住院高血压患者的用药效果,还能够提高住院高血压患者的用药依从度。
关键词:药学服务;高血压;合理用药
前言:高血压是一种临床常见慢性疾病,标准定义为收缩压超过140mmHg、舒张压超过90mmHg。诱发高血压的原因有很多,调查显示60%的高血压发病是由不良的生活习惯和饮食习惯所引起,除此之外情绪易激动、压力过大和基因遗传都有可能成为高血压的发病诱因,目前临床对高血压多采用药物控制治疗,大部分病情可以通过降压药物得到有效控制,但高血压药需要长期乃至于终身服用,否则就会有复发的风险,因此需要患者长期坚持用药,养成良好的用药习惯,以最合理的用药方式获得最好的治疗效果,实现经济效益和治疗效率的最大化[1]。药学服务与患者用药状况存在极大联系,药师可将药理学知识应用于患者日常用药中,有利于加强药物治疗效果,减少不良反应发生机率,为患者省去不必要的医疗支出。本次研究旨在探究药学服务对住院高血压病人合理用药的效果影响,为此选取我院的84例住院高血压病人为研究对象,具体内容如下。
1 资料及方法
1.1资料
选取我院2019年4月~2020年9月收治的84例住院高血压病人,【纳入标准】:(1)经血压检测和实验室检查,确诊为高血压的患者,诊断标准符合《中国高血压防治指南(2019新版)》;(2)所有患者自愿参与本次研究,并完全清楚研究的内容;【排除标准】:(1)由其它心血管疾病或脏器疾病引起的继发性高血压;(2)合并恶性肿瘤疾病;(3)妊娠期高血压和婴幼儿高血压;(4)精神病史或言语沟通功能障碍。
以“自愿随机分组原则”将84例患者分为对照组和观察组,每组42人。对照组有男性27人,女性15人,年龄范围在39~74岁之间,平均(55.63±5.42)周岁,病程为1~13年,平均(4.92±1.47)年;观察组有男性28人,女性14人,年龄范围在40~75岁之间,平均(56.58±4.84)周岁,病程为1~12年,平均(4.54±4.07)年。
对比两组患者的性别、年龄和病程无明显差距,P>0.05。
1.2 方法
对照组在进行健康宣教、生活饮食建议、用药指导后,住院期间仅靠患者自身遵从医嘱用药;
观察组由临床药师专门提供药学服务,主要包括:(1)强化健康宣教。医师定期展开高血压医学知识讲座,内容包括药物的种类、作用、注意事项和可能出现的不良反应,期间可用讲案例故事的形式吸引患者的关注,告知患者合理用药的重要性,对部分排斥用药、不肯按时服药的患者,应联系家属展开心理建设工作,依靠和家属沟通消除患者的抵触心理;(2)制定合理的用药计划表。结合药效学、药动学等多门知识,针对每一名患者的患病情况制定合理的用药计划表,固定每天清晨傍晚的用药顺序,针对凌晨和夜间血压升高患者,将长效药的服用时间调整至睡前,因为气候、情绪等原因导致血压长时间升高不退,可采取联合用药方案,存在低血压或病情好转较快者,适当减少用药量;(3)及时应对不良反应。服药后密切监测患者体征和面部表情,一旦发现不良反应立即停止用药并更换药物种类。在合用肝药酶诱导剂时,合理调整抗高血压药物的剂量,根据患者的心率水平调整β受体阻断剂的剂量。
1.3 观察指标
测量两组患者药学服务干预前后的血压水平,包括收缩压和舒张压,测量要求为早晚各测量一次,取一周血压的平均值;
对比两组患者的用药依从性,根据患者表现分为“完全依从”、“部分依从”、“少量依从”三个级别,计算总依从度(总依从=完全依从+部分依从/总人数)。
1.4 统计学
文中资料用SPSS20.0软件处理,P<0.05表示对比数据有很大差别。
2 结果
如表1,药学服务干预前,两组患者的血压水平无较大差异(P>0.05),药学服务干预后,观察组的血压水平有明显下降,差异有统计学意义(P<0.05)。
表1:两组干预前后血压水平对比(x±s)
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PwIpcyOxbTGFGsCzCvc6P7sR85oOtjnvmk6cV+WvfunoPPnL9D3yD34x7lnF3qNy1zx3cj+Bt53HbwyQVivfc3kb6pDJWnPW5F38H9vJFHu46J+nk65/EodGceTXaov4q+uZ41ML2Dj8U/xFwLeXXwqTn1cNWxCXvG/vGHwpxK/wKTPOMdfPjITDB8Fpb5lYvs4keBkkNsp2mXo9zhVE6qAoa/Tz16lHv8LrWd8084+I7r0Lx3bavoY31L52/X95w/iU1qvmfcqG/mHjXpG0zF5O7zLR1z5wmv7RgOzuqbKUM6faYMHXZ6uZdFHc9lPLczumsZ0vUzPh614cnrrucRHe+q42k96tfRVs9qvGcO/sy+Ct7Fx/ZeVtCzChbafe/z7QAAAMDPmeRNdu8CmtSBRmOA7jpARx2gow7TD9F/E9CkDjQaA3TXATrqAB11gIN/EGhSBxqNAbrrAB11gI46vHcOHgAAAADqIIK/ATSpA43GAN11gI46QEcdMET/INCkDjQaA3TXATrqAB11gIN/EGhSBxqNAbrrAB11gI46YA4eAAAAADtNEbzvPfj/Yx/7tf3zNvp6sI/9nv3zNvp6sP+79/2xXjBEfwNoUgcajQG66wAddYCOOsDBPwg0qQONxgDddYCOOkBHHT7m4AEAAADwPhDB3wCa1IFGY4DuOkBHHaCjDhiifxBoUgcajQG66wAddYCOOsDBPwg0qQONxgDddYCOOkBHHeafg9+++74sixCREFthMuuH7/1GuS+8W6Gl/P13S4usP3fimPY8DbFYV/ghAAAA8IUMieAtkVixwhx4XsfCNkoki2GxbGRZjBhDQuQ7AyTMJMfPrdDeOQj/78+lyxy9Uids4rLZXR8jPLhT8yONLGeu/1xmJ2xaOog+ue9kHvrYwKbyv3bCnP/rLd2TZbze016adE+cO1cGx1sn3LDUipbXoVaukr7BPW64huNigjIGwUVrPs32m9DyqtnNMqR0y9aNLX3BTlP2X+UpHeXTNihStsOKdp33MHfNd9voFwzRO2Ficfu/m4O3tDbMkYPf0mwGZdgKM4nldZ9s7MQds1hZRTXMv8LBrwYUlM2xkLcYx2Jqzu7D3NPIV6K08V/KfO4kFglGgSyJ2WzPHJ7++H/qunKVP/qdFapW/nwZr+Xrp6x75txZ2wnKU9SnlEdLuQr6Bvk6NlI360QZnT1G8cL/F6jbb+4+JjTrLoPsaQ/dynVjv6ask0rYf2/5PqKjv7xcPdKxwfVQyQ7rnaP2e5i55u624uAFDl42kbwDPhw8rd45juA3A1t9/yqo5a2DYGLHdnQC1nwp7GX+sMFMMd7B+zIGZfMdJf/3Vzr4FReNzngSZRYrtrWYicbBnUeBshWu7ICijmkxCsidezu/gr226H45d852ehqkrP21lKtRt7ABryZN2ZCIs7apUW2135SWRc2ay5DWLVeu7a+NHdF2ntIxW49UbHDbL9phe92t3sPcNd9sK0TeMAe/cfR+vIPfhoAi0azQ1nO0liKBTDa684b4+SH60Vgywq4w3OQ7TS8l1aiky2zFEjUNeTk2QhysA7ESVUTHJh5OsyTR+pBoi8+1DrsZISo1vuUyVu+pIkUnEdhOHKl0XFuQR7ZcHfo2XXdT2p4Rn3vnqWnWWoacbsnOWYOOSfu/Ub7tpOo6iqTrkYYNrrsJPW/Y4HpN5XtYuuY7bcVPeHwO3jILB3Pwu1jR8IpbI3XmeI51McJu7YkRB72hS+fgiyP43XAzxh71YsehGsFnyxz0givTErED973qw1YM870Ifm/sjhGn7jLW7mkHtyJ4z8l2bjWuYR7N5Wqc/+wY0kyVsaeDcDeCz2vWUYaCbncj+LT913lKx1w9+rENbvt1O2yJqNvuYf6a77UVIm8ZovdChz383eHH+EUKxqyL7NgGCzwMC3MY1YfO/LsX2R2LNBI9zUmcu4iugy+W+fjVtrYjl2eloSh2EEoNZ3it5WvI/a6tfG3cdvAp2+mdMzzl0V6u9iH61rUl1zL2dZ4+OURfK0NJt584+DuR8Bgdg3r0QxtcDzW2Hx1D9MV7mLnmu22FyBsc/Gnxjt3m3YndNrcuItZeFoGsohyL7vKLbdML8L7NwR9ch6ujcnO78XwC/Tl4kUuZw4pUq3SOxZwjmODY8Zhl5ryFhvPOwpl0GUdF8Dnb6VjgVLS/H0TwNxcmpdc4PODgU5rdXlylF8En7b/lCh7TMVePtGxQ5EcRfNc9TF/z3bZC5AVz8JdFGdtjcE7k6uDXBELLsgly9HYsLem5UsPiCnMqdxaYzEv4eBjtTxC0vVNgZuLH3uIiXMucPGYpOy1zaOR78MfvL/ZxfiQoO+0TXsNpNCV5HbkypsqnTfrcRdsJ61ehXPk8MuV6XN8+x1SnYKtnzbrLcP4Nic2dr1nHlP2XruEpHVPnM5dRkcsjZ4nrLreBCTvs0K77HqauuVTGD/H8c/Be1MxQnl9Rb843IbxZpUj+AeaI4OcGGo0BuusAHXWAjjrMP0T/RUCTOtBoDNBdB+ioA3TUAQ7+QaBJHWg0BuiuA3TUATrqMP0cPAAAAACeAxH8DaBJHWg0BuiuA3TUATrqgCH6B4EmdaDRGKC7DtBRB+ioAxz8g0CTOtBoDNBdB+ioA3TUAXPwAAAAANhBBH8DaFIHGo0BuusAHXWAjjp8dIjeZ+7/j33s1/bP2+jrwT72e/bP2+jrwf7v3vfHekEEfwNoUgcajQG66wAddYCOOnzMwQMAAADgfSCCvwE0qQONxgDddYCOOkBHHTBE/yDQpA40GgN01wE66gAddYCDfxBoUgcajQG66wAddYCOOmAOHgAAAAA774rgLQXfhXfCZvtm/MNMpcmkQKMxQHcdoKMO0FGHXzFE75iF2YgxRpbFiDGLLMsixCzGsLiHrmMmTWZlpEaOjSzLIkurTTgWsyyyLEZ4+4Gl1bbCY8m0+/7Sd84P8YjuCb360jthk9IrdTw4tixBB/+zPKFjr51mbTIX7FgO0n2pjlEZt0NZna6k7kHu98V8E9ehyXsdvKXD6IrGboU2o3SOhZZDbPNwJA8HX2ecRlbI25AlMdVaZ4WWzX58+uh3QX6ptM6K9UnD/w/i87onNOhN71ho+51jI8egXOq4Ff5ky5nhER177DRrk95JhW2gd+ahI/o2HVNllMiGxLGYYkcmcQ9yOmfzzVyHMq+dg7e8CmjJNwI27awt7c5/TysiIk6YxkZNYCIKDWE9/YZj4d3AnLDfqTTEztrvt8Mmp96RPmw4k8et2BHzcJ+m105zNil2C3auQY5jihz8N+oYl1FO07hHUJgkdQ8Kdb+U7+U6JmF8BL8RO+3LX4WIdlGPoZIxw6KI4OuM0iiKCBvWaTg26xTPZku01+e1V050VNxc2u0XQyKkM5/WvaxBf/pcw3gct2KJmodctXhExw47FUnbpCUj7NK/vzj4r9Sx4FgtFe0zdw9SOtfy/bSDf+8Q/UbJwTtmsUGvCQ5+5aLDgxW3xpsc/BIOwRsWtzvrdfjN55dO6/82Rw/+CceU06Av/Ta0efn9+XgQRVWHXPWYz8EnbHJ3NC0O/lt1zDvh2jqD9D1I1/1avnDwFcoRvIhEDn7sEP0sDn5mhmnUOfSZquR/nRvGzb7yjfK4JzrOzOaYqulzziZ5/Lm6/sTaoz47vdrkX5UOft7pfI+OyTI2OHef7nwP/pOp+7V8X+vgn6LPwY+N4MHMdC5ecuETGL6Sm+xCm3Pay+K7byerQUf6nHNLHQ+PPRh5fp4+O3U5m1z/Wo/gv1THq2ON58f9Gq8013uQ17mc7ywjeGfmiOD9SvpiY4EI/k0M1ShlT5aSC5FEgkdlUo9xXaKic1qRmRz8o493hRqo6Js6Hh57TuNh7V5WxxbNwhGlIwA6hvG/ScdUGUNbCx4HLNjm9R6kdU7mW7gObV4/RF9nW2gXDUnF21Od0nk0mRdoNAborgN01AE66vALHPw8QJM60GgM0F0H6KgDdNTh9XPwAAAAANADEfwNoEkdaDQG6K4DdNQBOuqAIfoHgSZ1oNEYoLsO0FEH6KgDHPyDQJM60GgM0F0H6KgDdNQBc/AAAAAA2EEEfwNoUgcajQG66wAddYCOOmCI/kGgSR1oNAborgN01AE66gAH/yDQpA40GgN01wE66gAddfiog/eZ+/9jH/vYxz72sY/95/bvgAj+BtCkDjQaA3TXATrqAB11uKsjHPwNoEkdaDQG6K4DdNQBOuoAB/8g0KQONBoDdNcBOuoAHXX4mIMHAAAAwPtABH8DaFIHGo0BuusAHXWAjjpgiP5BoEkdaDQG6K4DdNQBOurwOxy8JVnIbjtO2JDY4g8+w1SaTAo0GgN01wE66gAddfgVc/COWZiNGGNkWYwYs8iyLELMYgyLG32BYAocG1mWRZYum4g7jJZW21qWVCcyl9YI/wIj7NU3lT6XRzZvy1+nrYad5vK42qQTNv7YEgRK7wf2mGd4BH8Y4uass3ZnhbY/OsdCy2HA5uFIHr3SOuM0skK+MloS01gL14q82VH4u0QeUVrHQv7vjsUMbjg/r3uvvqn0uTxSx71jerbzNJ+OK5Ht5fJI2qQVHuCR5tPxd9njcAcfOu7isLulvRdlKUzjhOnZ6B0Ovs4wjXIVtPyjrcO42pVjCirvOY84bTxtFNryGD6ue6++qfTVRvSad3xPPs90Ovp0J9vL6Xi1SSt2gGlOp+Mvs8eXOHgrRLSnO0f9fUNcPwcOvs4ojRybYBSobZ2GJSPsgrRBxXZsIvu6pI0zKoxAPcOnde/VN5X+r0wepbzf0qC2omGnTXnsNmnFEj0+lTSbjr/NHieYg7fBcHt6iN4xiw06AqMd/CxcdPglc8AluhvOvQEM0x42aZijHv017ZHPN81r5vgtDeqn0bDTah7nRcls/cmHTyVpAXssM1kE35YOQ/Tz85Yh+monKWgMs2kncu4YEtVhNh2TtvdXIY+iTT7XZs6m42+zx5c6eAzRz87bFtlFPXR3PJVhKTWqdIr2gwSWx44mfd+ippW3NKjtKNhpScezTZ4W4T0Vwc+n4++yx8EO/nh0o25viODfxFCNLF07fpYyj7yJxI8Qkdhg/9pgxGn/8o/RTPL40SO69+qbTZ96/Oh8PH686yl5p9TxYqfpPFzSJhO/fYApdfxF9jjBHHwr20K7aJiq9RE7AAAA4HcxwRD9+4AmdaDRGKC7DtBRB+iow0uH6N8JNKkDjcYA3XWAjjpARx3g4B8EmtSBRmOA7jpARx2gow6/YA4eAAAAAK0ggr8BNKkDjcYA3XWAjjpARx0wRP8g0KQONBoDdNcBOuoAHXWAg38QaFIHGo0BuusAHXWAjjpgDh4AAAAAO4jgbwBN6kCjMUB3HaCjDtBRh48O0efeHIcNGzZs2LBh++yGIXoAAAAA7MDBAwAAAF/I/wNcnesdLBc1JAAAAABJRU5ErkJggg==)
如表2,观察组的用药总依从度为95.24%,大于对照组的80.95%,差异有统计学意义(P<0.05)。
表2:两组用药依从性对比[n(%)]
![](data:image/png;base64,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)
3 讨论
高血压的典型特征为病程长、复发率高、并发症多,需要长期乃至终身用药物降低血压,以防止急性发病和并发症发作的风险。调查显示,我国成年人高血压发病率接近1/3,且近年一直呈现不断增高的趋势,而农村地区的高血压患病率从2015年开始,已经逐渐赶超了城市地区[2]。从高血压多发群体的特征来看,患者往往年龄偏大、文化水平偏低,居住在经济相对落后的农村地区,不了解药物知识和药理学知识,一些患者迷信“土方”、“偏方”,还有部分患者本身排斥服药,种种原因导致患者出现擅自服药、随意停药、更改药量等不良行为,加上大部分患者常年吸烟饮酒,生活习惯较差,病情一旦复发往往危及性命安全。
药学服务扎根于丰富的药学知识基础,要求药师熟知每种药物的适应证、禁忌证,以及联合用药方案。其目的为通过药学服务干预,让患者更加合理地用药,不仅能提高患者的服药依从性,还能提升其服药效率,减少不必要的医药开支。
本次研究数据显示,药学服务干预前,两组患者的血压水平无较大差异,药学服务干预后,观察组的血压水平有明显下降,说明药学服务可以提高住院高血压患者的用药效果。观察组的用药总依从度为95.24%,大于对照组的80.95%,进一步说明药学服务可以提高住院高血压患者的用药依从度,让患者更加合理、高效地用药。
参考文献:
[1]蔡理兴.SIMPLE药学服务模式对高血压患者血压控制中的实践及效果研究[J].中国处方药,2020,18(12):43-44.
[2]祖嵩洋.临床药学服务对高血压患者用药合理性及依从性的影响[J].中国医药指南,2020,18(12):145-146.