| Literature DB >> 35610968 |
Xiucong Fan1, Danxia Chen1, Siwei Bao1, Rong Bai1, Fang Fang1, Xiaohui Dong1, Yuyi Zhang1, Xiaogang Zhang1, Yabin Ma1, Xiaobo Zhai1.
Abstract
Chinese clinical pharmacists consider improving the quantity and quality of consultations to be an important task in providing better pharmaceutical care. To achieve this goal, we developed a clinical pharmacist consultation method using multidisciplinary individualized medication recommendations (MIMRs) and studied the effects of its implementation. A retrospective study of 812 clinical pharmacist-led consultations was conducted. In the pre-intervention group, medication advice was given based on the purpose of the consultation. In the post-intervention group, a consultation method using MIMRs was implemented, in which clinical pharmacists with specialties in anticoagulation, gastroenterology, and nutrition were asked to give individualized medication recommendations. Outcomes, including the effectiveness rate of consultations (ERC) and acceptance rate of consultations (ARC), were compared between the two groups using propensity score matching method. Patterns and numbers of consultations and individualized medication recommendations were also compared. The results showed that the ERC in the post-intervention group compared with the ERC in the pre-intervention group was 83.3% vs 74.0%, respectively (P < .05). Significant difference was also shown between the two groups in ARC (98.4% vs 92.2%, P < .05). The total number of consultations increased, as did the number of general consultations, multidisciplinary/difficult consultations, anti-infection consultations, and non-anti-infection consultations specifically. As a result, we proposed that the implementation of MIMRs can improve the effects of treatment and increase the number of consultations by pharmacists, which is worthy of further promotion to better serve physicians and patients.Entities:
Keywords: clinical pharmacists’ consultations; clinical pharmacy; multidisciplinary individualized medication recommendations; propensity score matching analysis; rational drug use
Mesh:
Year: 2022 PMID: 35610968 PMCID: PMC9136448 DOI: 10.1177/00469580221081437
Source DB: PubMed Journal: Inquiry ISSN: 0046-9580 Impact factor: 2.099
Figure 1.Flow chart of the study.
Comparison of Baseline Characteristics of Patients Before and After Propensity Score Matching.
| Characteristics | Before PSM | After PSM | |||||
|---|---|---|---|---|---|---|---|
| Pre-intervention Group (n, %) | Post-intervention Group (n,%) | P Value | Pre-intervention Group (n, %) | Post-intervention Group (n,%) | P Value | ||
| n=364 | n=448 | n=192 | n=192 | ||||
| Male | 203(55.8) | 276(61.6) | .058 | 123(64.1) | 113(58.9) | .265 | |
| Age (years) | 64.2±17.3 | 64.9±15.5 | .191 | 65.5±17.2 | 63.8±15.2 | .114 | |
| Abnormal liver function | 52(14.3) | 105(23.4) | <.001 | 31(16.1) | 41(21.4) | .29 | |
| Abnormal kidney function | 103(28.3) | 149(33.3) | .217 | 59(30.7) | 58(30.2) | .818 | |
| Abnormal infection indices | 319(87.6) | 388(86.6) | .910 | 166(86.5) | 164(85.4) | .623 | |
| With underlying disease | 301(82.7) | 367(81.9) | .848 | 153(79.7) | 159(82.8) | .344 | |
| With embolism risk | Embolism patients | 32(8.8) | 22(4.9) | .218 | 12(6.25) | 10(5.2) | .307 |
| Patients with high risk factors of embolism (Padua score) | 88(24.2) | 120(26.8) | 52(27.1) | 60(31.3) | |||
| Patients with high risk factors of embolism (Caprini score) | 80(22.0) | 70(15.6) | 27(14.1) | 36(18.8) | |||
| Patients with high risk factors of embolism (CHA2DS2-VASC score) | 34(9.3) | 21(4.7) | 12(6.3) | 10(5.2) | |||
| With bleeding risk | 93(25.5) | 111(24.8) | .105 | 47(24.5) | 59(30.7) | .201 | |
| With gastrointe-stinal risk | With gastrointestinal bleeding | 28(7.7) | 19(4.2) | <.001 | 8(4.2) | 10(5.2) | .550 |
| With high risk factors of stress ulcer | 183(50.3) | 161(35.9) | 84(43.8) | 84(43.8) | |||
| Abnormal nutritional status | 38(10.4) | 58(12.9) | .154 | 21(10.9) | 20(10.4) | .567 | |
Figure 2.Clinical pharmacists’ consultation types and application departments.
Figure 3.Purposes of non–anti-infection consultations.
Figure 4.Distribution of included consultation cases requested by clinical departments (Top 20).
Pre- and Post-Intervention Multidisciplinary Individualized Medication Recommendations.
| Consultation Recommendations | Pre-intervention Group | Post-intervention Group | |
|---|---|---|---|
| Number of anti-infection recommendations n (%) | Empirical application | 52(12.9) | 106(17.9) |
| Drug use adjustment | 209(51.9) | 279(47.0) | |
| Whether to apply antibacterial drugs | 9(2.2) | 34(5.7) | |
| Whether to deactivate antibacterial drugs | 16(4.0) | 40(6.7) | |
| Preventive use | 1(.2) | 3(.5) | |
| Dosage adjustment | 31(7.7) | 48(8.1) | |
| Treatment course | 7(1.7) | 16(2.7) | |
| Other recommendations | 78(19.4) | 67(11.3) | |
| Total | 403(100.0) | 593(100.0) | |
| Number of anticoagulant recommendations n (%) | Empirical application | 6(25.0) | 15(12.3) |
| Drug use adjustment | 1(4.2) | 6(4.9) | |
| Dosage selection | 3(12.5) | 13(10.7) | |
| Treatment course | 1(4.2) | 4(3.3) | |
| Whether to apply anticoagulant drug | 3(12.5) | 30(24.6) | |
| Whether to deactivate antibacterial drug | 4(16.7) | 13(10.7) | |
| Physical method | 5(20.8) | 36(29.5) | |
| Other recommendations | 1(4.1) | 5(4.1) | |
| Total | 24(100.0) | 122(100.0) | |
| Number of PPIs application recommendations n (%) | Whether to apply PPIs | 6(22.2) | 18(22.2) |
| Choice of drugs | 3(11.1) | 17(21.0) | |
| Preventive use | 8(29.6) | 23(28.4) | |
| Dose adjustment | 7(25.9) | 16(19.8) | |
| Treatment course | 1(3.7) | 2(2.5) | |
| Other recommendations | 2(7.4) | 5(6.2) | |
| Total | 27(100.0) | 81(100.0) | |
| Number of nutritional support recommendations n (%) | Enteral | 9(75.0) | 35(70.0) |
| Parenteral | 3(25.0) | 15(30.0) | |
| Total | 12(100.0) | 50(100.0) | |
| Number of follow-up monitoring recommendations n (%) | Liver and kidney function | 86(20.8) | 148(21.5) |
| Coagulation index | 18(4.4) | 90(13.1) | |
| Infection index/signs | 270(65.4) | 338(49.2) | |
| Bleeding | 5(1.2) | 39(5.7) | |
| Nutrition improvement | 7(1.7) | 34(4.9) | |
| Adverse reactions | 27(6.5) | 38(5.5) | |
| Total | 413(100.0) | 687(100.0) | |
| Total(n) | 864 | 1533 | |
Effectiveness Rate and Acceptance Rate of the Consultations.
| Group | Effectiveness Rate n (%) | Acceptance Rate n (%) | ||||
|---|---|---|---|---|---|---|
| Effective | Ineffective | Total | Accepted | Rejected | Total | |
| Pre-intervention group(n=192) | 142(74.0) | 50(26.0) | 192(100) | 177(92.2) | 15(7.8) | 192(100) |
| Post-intervention group(n=192) | 160(83.3) | 32(16.7) | 192(100) | 189(98.4) | 3(1.6) | 192(100) |
| χ2 | 5.024 | 8.393 | ||||
| P | .025 | .004 | ||||