Skip to main content

Improving safety and efficacy with pharmacist medication reconciliation in orthopedic joint surgery within an enhanced recovery after surgery program



To investigate the impact of medication reconciliation (MR), through avoidance of unintentional medication discrepancies, on enhanced recovery after surgery programs designed for older patients undergoing orthopedic joint surgery. 


Our study was divided into two phases. In the first phase, MR was performed for elderly patients undergoing orthopedic joint surgery. Types of medication discrepancies and their potential risks were analyzed. In the second phase, a controlled study was conducted in a subgroup of patients diagnosed with periprosthetic joint infection (PJI) and who were scheduled for two-stage revision. The primary goal was to investigate the impact of MR on length of stay for the first stage. The secondary goal was to investigate the time between the first admission and the reimplantation of a new prosthesis, the number of readmissions within 30 days, hospitalization cost.


A total of 506 medication discrepancies were identified in the included 260 patients. Intolerance had the highest incidence (n = 131, 25.7%). The Bayliff tool showed that 71.9% were assessed as level 2 risk, and 10.3% had a life-threatening risk. For patients with PJI, MR reduced the average length of stay in the first stage (16.3 days vs. 20.7 days, P = 0.03) and shortened the time (57.3 days vs. 70.5 days, P = 0.002) between the first admission and the reimplantation of a new prosthesis. The average cost of hospital stay ($8589.6 vs. $10,422.6, P = 0.021), antibiotics ($1052.2 vs. $1484.7, P = 0.032) and other medications ($691.5 vs. $1237.6, P = 0.014) per patient at our hospital were significantly decreased. Notably, significant improvements in patient satisfaction were seen in participants in the MR group.


Through MR by clinical pharmacists, medication discrepancies within the orthopedic ERAS program could be identified. For patients with periprosthetic joint infection, better patient satisfaction and clinical and economical outcomes can be achieved with this method.

Peer Review reports


Enhanced recovery after surgery (ERAS) protocols have gained broad acceptance in many surgical disciplines [1]. To reduce patients’ surgical stress response, optimize their physiologic function and facilitate recovery, the integrated continuum constitutes the implementation of over 20 evidence-based strategies, many of which employ pharmacologic therapies [2]. On the other hand, ERAS is supported by multidisciplinary participation and the integration of regimens from a variety of specialized areas. Transitions of hospital stay and changes in patient conditions before and after surgery require more detailed modification of the pharmacological regimen [3, 4]. As such, risk assessment addressing pharmacotherapy-related decisions during the transition of care and in each perioperative phase is essential for compliance with ERAS pathways and medication error prevention. 

Medication reconciliation (MR) is a formal process or technique used by health care providers and pharmacists to gather a complete and accurate list of a patient's prescribed and home medications. By comparing the items on the list with the current drug regimen, discrepancies were identified in different levels of care, care settings, or points in time. This information was used to inform prescribing decisions and to identify and prevent medication discrepancies [5, 6]. It is widely recommended to avoid unintentional medication discrepancies between patients’ medications across transitions in care. The implementation of ERAS protocols is also challenged by the potential medication discrepancies as discussed above, and MR may provide an opportunity for addressing this issue.

In recent years, there has been a rapid adoption of ERAS pathways in many Chinese hospitals [7,8,9,10,11,12,13], and clinical pharmacists have been actively involved in ERAS program implementation. In the First Affiliated Hospital of Chongqing Medical University, clinical pharmacists have been trying to incorporate MR into the framework of ERAS for orthopedic surgery in older patients (≥ 65 years). With complicated preoperative clinical conditions, preexisting functional limitations and polypharmacy in ERAS programs, older patients carry an even higher risk for perioperative medication discrepancies. Some studies suggested that older patients showed a consistent correlation with the prevalence of clinically significant unintentional discrepancies [14, 15]. Thus, it is necessary for hospitals to perform a complete and accurate MR for older patients in orthopedic joint surgery. Many studies [16, 17] have indicated that MR for improving the appropriateness of medications in hospitalized older orthopedic patients may be associated with better patient outcomes compared with other settings. However, these patient outcomes have often been limited to readmission, emergency department visits and the occurrence of all-cause death, a new fracture, myocardial infarction and ischemic stroke. Furthermore, few trials have evaluated the effect of MR on the length of stay, medical cost, and patient satisfaction for older patients undergoing orthopedic joint surgery.

The purpose of this study was to investigate the types of medication discrepancies and their potential risks for older patients undergoing orthopedic joint surgery in the first phase. For the second phase, the controlled study of PJI patients scheduled for two-stage revision, the primary goal was to investigate the impact of MR on length of stay for the first stage. The secondary goal was to investigate the time between the first admission and the reimplantation of a new prosthesis, readmission within 30 days, hospitalization cost.


Study Setting

This study was performed from September 2019 to December 2020 in the joint surgery ward of a large tertiary care academic hospital in Chongqing, China. All methods were carried out in accordance with relevant guidelines and regulations. This study was approved by the institutional ethics board of The First Affiliated Hospital of Chongqing Medical University (Chongqing, China) in 2020. Informed consent was obtained from all patients by signing the paper version of agreement.

The first-phase study

Protocol and data collection

The study was divided into two phases. The first phase was planned as a preliminary study for analysis of discrepancies and their potential risks. Reconciliation was provided to all included patients, and no control study was made.

Inclusion and exclusion criteria

In the first phase, all patients who underwent elective orthopedic joint surgery were included in the ERAS pathway. They were then screened for the following criteria: (1) age ≥ 65 years; (2) prescribed with at least 1 medication after admission. Patients who met the above criteria were included in the study. Patients were excluded if they met any of the following criteria: (1) patients whose medication history was not accessible or unreliable for any reason; (2) patients with language or hearing or mental disorder who could not communicate with the pharmacists; (3) patients who were not present in the room during pharmacists’ visits within 24 h following admission; and (4) hospitalization time less than 72 h.

Medication reconciliation

To implement MR successfully, roles and workflows based on interprofessional collaboration of orthopedic surgeons, nurses, and clinical pharmacists were constructed. Medication orders of patients were reviewed by clinical pharmacists within 24 h of admission. First, the documented medication history and admitting medication orders (medication, dose, route, frequency) were collected. Newly updated laboratory tests were also reviewed. After reviewing the present medical orders, a clinical pharmacist interviewed each patient (or their family caregivers) to obtain their medication history. This information was then compared with admitting medication orders. Discrepancies were defined as differences between present medication orders based on documented medication history and direct interview and assessment.

Second, based on the consented pharmacotherapeutic options within each ERAS element for joint surgery (developed by the surgical team and pharmacists, Table 1), the pharmacist also checked the pre- and postoperative medication orders for discrepancies from the ERAS options.

Table 1 The consented pharmacotherapeutic options within each ERAS element for orthopedic joint surgery

Third, once the patient’s condition was stabilized after surgery, he was discharged or transferred to nonacute care facilities (the country’s medical transfer policy encourages medical transference from higher-grade hospitals to lower-grade hospitals once the patient’s status was stabilized but follow-up treatment is still required). Within 24 h before discharge or transfer, discharge orders were checked to ensure the continuance of the pharmacotherapy regimen if needed (e.g., pain medications, anticoagulants, antibiotics). If medications on the discharge list were not available in the transferred hospitals (information obtained by verification with counterpart pharmacists through phone calling), discrepancies were also identified.

After verification by the ordering surgeon, discrepancies that occurred in response to a patient’s change in his clinical status or due to formulary substitutions were considered intentional discrepancies (ID). Those unjustified discrepancies were classified as an unintentional discrepancy (UD).

For the unintentional discrepancies, once they were identified, pharmacists made the following changes: discontinue medication, add medication, continue at different doses/frequencies/routes/manufacturers of medication, or substitute with a different medication. These changes were documented, and a new reconciliated medication list was formed. Then, surgeons were notified for clarification and shared with the reconciliated medication list (pharmacotherapy regimen). Discussion in the surgical team was sometimes held for complicated cases. During the entire process, nurses responsible for admitting procedures and for administering drugs would notify the pharmacists for reconciliation; new medication lists were also shared after surgeon verification.

Finally, pharmacists confirmed the reconciliation by reviewing the current medical order again, and patient education was provided if necessary.

Analysis of medications implicated in discrepancies

Medications related to medication discrepancy in our study were classified into twelve different types: cardiovascular agents, analgesics, antimicrobials, antipsychotics, antithrombotics, hypnotics and antipsychotics, insulin and oral hypoglycemic agents, glucocorticoids, antiemetics and laxatives, immunomodulatory drugs, antiemetics and gastrointestinal agents, nutritional agents and others.

Classification of discrepancies

Discrepancies were classified into eight different types: omission, commission (mistaken addition of a medication), intolerance (either because of the patients’ specific conditions like allergy, or because it carried risks for a surgical procedure), different dose or route or frequency, different medication, and continuation of orders that needed to be stopped, duplication, interaction, and those uncategorized.

Assessment of potential hazards of discrepancies

At the end of this study, the potential hazard of each UD was assessed by a surgeon and a clinical pharmacist using the Bayliff tool [18], which categorizes the severity of hazard into four levels. Level 0- No clinical impact, Level 1-Potential, mild clinical impact, Level 2-Potential clinical impact leading to further treatment or lengthened hospital stay, Level 3- Life-threatening. Assessment occurred independently between the surgeon and the pharmacist. If they assessed the severity of hazard differently, then the more severe hazard was recorded as the result of assessment.

The second phase

Study protocol and data collection

In the second phase, to study the impact of MR, a controlled study was conducted between the intervention group (with pharmacist-led reconciliation) and the control group (without reconciliation). Patients who met the inclusion criteria of the first phase and were diagnosed with PJI were asked for consent prior to randomization. When consent was obtained, individuals were then randomly assigned to either of two groups. Randomization online software was used to generate a randomization plan (, which assigned patients into intervention (1) and control (0) groups (Fig. 1). All patients received two-stage revision for the treatment of PJI. This treatment consists of removing the prosthesis and cement in the infected area and inserting an antibiotic-impregnated spacer (stage 1 or first stage), usually made from bone cement. When infection has cleared or controlled with administration of antibiotics, a revision total joint is implanted (stage 2 or second stage). Surgery in both stages was performed in our surgery ward.

figure 1

Flowchart showing enrollment of patients


The primary outcome was length of stay for the first stage. Secondary outcomes were length of stay for the second stage, readmission within 30 days, unplanned outpatient visits between the two stages and within 3 months following the second stage, the time between the first admission and the reimplantation of a new prosthesis, hospitalization cost of PJI per patient in our hospital and the post-acute care facility, and patient satisfaction.

Power analysis

The sample size calculation was based on the primary outcome: length of stay for the first stage. Using data from the preliminary studies (length of stay for the first stage: 22.3 ± 4.1 days in the control group; 17.8 ± 5.2 days for the reconciliation group) and a power of 90% as well as an alpha level of 5%, the study required 24 patients in each arm. To account for dropouts and losses to follow-up, the number of patients was increased by 30%. Consequently, 33 patients were recruited in each arm.

Statistical analyses

Statistical analysis was performed using the SPSS version 17 statistical package (SPSS, Chicago, IL). The differences in the primary endpoint between the intervention group and the control group were evaluated using Fisher’s exact test. Descriptive statistics consisted of the mean and standard deviation (SD). A value of P < 0.05 was considered statistically significant.


The first-phase study

In the first phase, from September 2019 to March 2020, 305 patients were screened, and 260 were included in the study. Data from these patients were analyzed for types of discrepancies, categories of related medications and potential hazards. A total of 4503 medication orders were screened, and 506 unjustified medication discrepancies were detected and reconciled involving 260 patients, with a mean of 1.9 per patient (SD = 0.6). The average age of patients with medication order discrepancies was 68.4 years, among whom 65.9% were women. The other baseline demographic and clinical characteristics are shown in Table 2.

Table 2 Baseline demographic and clinical characteristics

Medications implicated in medication discrepancies

Among the medications most frequently pertaining to discrepancies, cardiovascular agents had the highest incidence (22.5%, n = 114), followed by analgesics (17.0%, n = 86) and antibacterial drugs (13.0%, n = 66) (Table 3).

Table 3 Medications implicated in medication discrepancy

Types of discrepancies

According to the categorization, the occurrence of medication discrepancies was listed as intolerance (n = 131, 25.7%), which was the highest rate, followed by omission (n = 112, 22.1%), prolonged duration of therapy (n = 70, 13.8%), discrepancy in drug dose, route, or frequency (n = 66, 13.0%), duplication (n = 61, 12.1%), commission (n = 35, 6.9%), interaction (n = 25, 4.9%), and uncategorized (n = 8, 1.6%). Typical examples of discrepancies are illustrated in Table 4.

Table 4 Types and examples of discrepancies

Potential hazards of discrepancies

For the assessment of potential hazards of discrepancies, the Bayliff tool showed that all medication discrepancies carried the potential hazard. A total of 364 (71.9%) patients were classified as level 2 (with potential clinical impact leading to further treatment or lengthened hospital stay), 90 (17.8%) as level 1 (mild potential clinical impact), and 52 (10.3%) as a life-threatening risk (level 3) (Table 5). Discrepancies in the severity of hazard assessments occurred in 3 cases (0.6%).

Table 5 Potential risk assessment of medication discrepancies by Bayliff tool

The second-phase study

To study the impact on hospital expenses and patient satisfaction in the second phase of this study from April 2020 to December 2020, 69 PJI patients were screened, and 65 patients were included. Using a computer-generated randomized table, these patients were randomly allocated to the intervention group (n = 33) and control group (without MR, n = 32).

The effect of MR on hospital utilization

There was no significant difference in the baseline characteristics of PJI patients between the intervention and control groups (Table 6). The intervention reduced the average length of stay for the first stage for the intervention group (16.3 days vs. 20.7 days, P = 0.03). There were no readmissions or unplanned outpatient visits within 30 days of discharge in the intervention group compared with 3 admissions and 4 unplanned visits in the control group, although no statistical significance was reached. Notably, the time between the first admission and the reimplantation of a new prosthesis in the intervention group was significantly shortened (57.3 days vs. 70.5 days, P = 0.002) (Table 6).

Table 6 the effect of medication reconciliation on hospital utilization of patients with PJI

Economic impact of MR

The economic impact of MR is shown in Table 7. With MR, the average cost of hospital stay at our hospital per patient was decreased ($8589.6 vs. $10,422.6, P = 0.021). Declination was also at the cost of medication ($1052.2 vs. $1484.7, P = 0.032) and antibiotics ($691.5 vs. $1237.6, P = 0.014). The post-acute care facility also saw the same trend in cost decline, $3229.3 vs. $4194.1 for total medical cost (P = 0.056); however, changes in medication ($1241.3 vs. $1305.3, P = 0.912) and antimicrobials cost ($981.7 vs. $1153.7, p = 0.462) did not reach significance.

Table 7 The effect of medication reconciliation on hospitalization cost of PJI per patient in our hospital and the post-acute-care facility

The effect of MR on patient satisfaction

All enrolled PJI patients in the intervention group and control group completed the survey and provided rating scores about patient satisfaction on the day of discharge or transfer. The survey constituted 10 questions encompassing critical aspects of the surgical experience (Table 8). A 10-point scale for self-report assessment was used for each question.

Table 8 The survey of patient’s satisfaction

We observed an increase in rating scores in all the aspects surveyed in Table 8. Notably, significant improvements were seen in three aspects: perioperative pain management (8.4 ± 1.8 points compared with 6.2 ± 1.8 points), management of nausea and vomiting (8.9 ± 2.1 points compared with 6.7 ± 4.6 points), enough information received and feeling of readiness at discharge (9.7 ± 1.8 points compared with 7.7 ± 1.6 points).


Through the MR led by pharmacist, unjustified medication discrepancies were effectively identified, which not only prevented unintentional medication discrepancies, but also improved patients satisfaction, achieved a better surgical outcome in PJI patients as well as reduced medical cost. To the best of our knowledge, this is the first study adding the work of reconciliation to the medication management for ERAS in older patients undergoing orthopedic joint surgery. Through MR in the first stage, medication discrepancies were effectively recognized. Among the medications implicated in medication discrepancies, cardiovascular agents were found to have the highest incidence. Analgesics and antibacterial drugs were also found to have a high incidence of discrepancies following the administration of cardiovascular agents. Pain management is the cornerstone of ERAS programs, and antibiotics are essential both for infection prophylaxis/treatment; these related medications are widely used perioperatively. Contraindications were the most common type of discrepancy, probably because with multiple chronic diseases, older people are at a greater risk for drug interactions and contraindications brought by polypharmacy [19]. Therefore, cardiovascular agents, analgesics and antibacterial drugs carry the highest risk of discrepancies, and contraindications with their high prevalence require special attention from caregivers.

Using the Bayliff tool, 71.9% of unintentional medication discrepancies were identified as having potential clinical impacts that led to further treatment or lengthened hospital stays, and 10.3% were related to life-threatening hazards. The risk found was somewhat different from the study of Nashville, where 75.2% were categorized as significant in severity, 22.9% were serious, and 1.8% were life-threatening [20]. The differences could be explained by the fact that in our study, MR was implemented in an ERAS population with older age who went through a major surgery. These results show that MR has a promising effect in the prevention of errors that may contribute to devastating harm in older patients undergoing orthopedic joint surgery.

In the second stage of the study, MR reduced the average length of hospital stay and unplanned visits after discharge in the group of patients diagnosed with PJI. Previous studies [21, 22] have also shown that MR contributes to a reduction in unplanned emergency department visits and readmission to the hospital within 30 days for all hospitalized adults. However, no clear evidence was found previously in favor of MR in reducing length of stay reported by a review [23]. One possible reason for this outcome is that our study included PJI patients scheduled for two-stage revision. PJI represents one of the most devastating complications in joint arthroplasty and is associated with a prolonged hospital stay with debridement surgery and long-term intravenous antibiotic use. Through pharmacist assistance in antibiotic management, optimizing medication regimens, e.g., selecting medication, dosage and frequency based on pathogens and patient’s hepatic and renal function, as well as serum drug concentration monitoring, a better pharmacotherapy outcome was achieved. This may probably have contributed to the reduction in length of hospital stay.

Similarly, MR shortened the time between the first admission and the reintroduction of joint replacement and saved the care cost. Most PJI patients required long-term antibiotic therapy and thus were unable to complete the whole treatment process in our hospital [24]. In China, tertiary medical treatment and two-way referral policy require the transference of patients from higher grade hospitals to lower grade hospitals once the patient’s status is stabilized. However, the transfer itself carries the risk of deviating from or discontinuing the original effective pharmaceutical treatment plan for two main reasons. First, evaluation and treatment could be different from doctors of different facilities, including types of antibiotics, frequency and dose. Second, pharmacy drug lists may differ greatly at different facilities. By obtaining drug information from the post-acute care facilities and MR before discharge, adherence to the original pharmacotherapeutic plan was easier. This may contribute to reducing the time between the first admission and the reimplantation of a new prosthesis. MR also improved patient satisfaction with medical services, especially in terms of pain, nausea and vomiting control, which in turn improved the outcome of the ERAS program.

The major limitation of this study was that not all orthopedic joint surgeries were randomized for comparison. As the controlled group carried a potential risk of medication errors, the comparative study was narrowed down to patients diagnosed with periprosthetic joint infection (PJI) and scheduled planned for two-stage revision. Thus, the conclusion about the improved outcome can only be narrowed to PJI patients. Additionally, the studied groups did not use a blind method because the patients and caregivers in the surgery unit obviously knew about the intervention of pharmacists. However, this may add bias to the results, especially with patients reporting symptoms or their satisfaction with the surgery.

In conclusion, pharmacist-led MR prevented medication discrepancies in orthopedic ERAS programs and achieved a better surgical outcome as well as patient satisfaction in patients with PJI. Although the findings should be interpreted in the context of the study’s limitations, this study provides information for hospitals and surgical practices interested in implementing and evaluating enhanced recovery programs and minimizing misuse or overuse of medications, improving outcomes and decreasing costs.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.



Periprosthetic joint infection


Enhanced recovery after surgery


Intentional discrepancy


Unintentional discrepancy


Standard deviation


Medication reconciliation


Adverse drug reactions


  1. Ljungqvist O, Scott M, Fearon KC. Enhanced recovery after surgery: a review. JAMA Surg. 2017;152(3):292–8.

    Article  Google Scholar 

  2. Helander EM, Webb P, Menard B, et al. Metabolic and the surgical stress response considerations to improve postoperative recovery. Curr Pain Headache Rep. 2019;23(5):33.

    Article  Google Scholar 

  3. Osorio SN, Abramson E, Pfoh ER, et al. Risk factors for unexplained medication discrepancies during transitions in care. Fam Med. 2014;46(8):587–96.

    PubMed  Google Scholar 

  4. Trompeter JM, McMillan AN, Rager ML, et al. Medication discrepancies during transitions of care: a comparison study. J Healthc Qual. 2015;37(6):325–32.

    Article  Google Scholar 

  5. Kwan JL, Lo L, Sampson M, Shojania KG. Medication reconciliation during transitions of care as a patient safety strategy: a systematic review. Ann Intern Med. 2013;158(5 Pt 2):397–403.

    Article  Google Scholar 

  6. Institute for Healthcare Improvement. How-to guide: prevent adverse drug events (medication reconciliation). Revised March. 2016. Available from: AdverseDrugEvents.aspx. (last accessed 3 Apr 2016).

  7. He F, Lin X, Xie F, et al. The effect of enhanced recovery program for patients undergoing partial laparoscopic hepatectomy of liver cancer. Clin Transl Oncol. 2015;17(9):694–701.

    Article  CAS  Google Scholar 

  8. Liang X, Ying H, Wang H, et al. Enhanced recovery program versus traditional care in laparoscopic hepatectomy. Med (Baltimore). 2016;95(8):e2835.

    Article  Google Scholar 

  9. Liang X, Ying H, Wang H, et al. Enhanced recovery care versus traditional care after laparoscopic liver resections: a randomized controlled trial. Surg Endosc. 2018;32(6):2746–57.

    Article  Google Scholar 

  10. Liu J, Lei Y, Liao J, Liang X, Hu N, Huang W. Study protocol: haemostatic efficacy and safety of preemptive antifibrinolysis with multidose intravenous tranexamic acid in elderly hip fracture patients: design of a prospective randomised controlled trial. BMJ Open. 2021;11(12):e047382. (Published 2021 Dec 14).

    Article  PubMed  PubMed Central  Google Scholar 

  11. Wu XD, Tian M, He Y, et al. Efficacy of a three-day prolonged-course of multiple-dose versus a single-dose of tranexamic acid in total hip and knee arthroplasty. Ann Transl Med. 2020;8(6):307.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Wu XD, Li Y, Liu JC, Huang W, Qiu GX. Never too old for hip arthroplasty: a 111-year-old woman walks out of hospital-a case report and literature review. Ann Transl Med. 2020;8(5):253.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Wu XD, Xiao PC, Zhu ZL, Liu JC, Li YJ, Huang W. The necessity of routine postoperative laboratory tests in enhanced recovery after surgery for primary hip and knee arthroplasty: A retrospective cohort study protocol. Med (Baltimore). 2019;98(18):e15513.

    Article  Google Scholar 

  14. Koehler BE, Richter KM, Youngblood L, et al. Reduction of 30-day postdischarge hospital readmission or emergency department (ED) visit rates in high-risk elderly medical patients through delivery of a targeted care bundle. J Hosp Med. 2009;4:211–8.

    Article  Google Scholar 

  15. Gillespie U, Alassaad A, Henrohn D, et al. A comprehensive pharmacist intervention to reduce morbidity in patients 80 years or older: a randomized controlled trial. Arch Intern Med. 2009;169:894–900.

    Article  Google Scholar 

  16. Kragh A, Elmstahl S, Atroshi I. Older adults’ medication use 6 months before and after hip fracture: a population-based cohort study. J Am Geriatr Soc. 2011;59:863–8.

    Article  Google Scholar 

  17. Lai SW, Liao KF, Liao CC, et al. Polypharmacy correlates with increased risk for hip fracture in the elderly: a population-based study. Med. 2010;89:295–9 (27. Chan AW, Tetzlaff JM, Gøtzsche).

    Article  Google Scholar 

  18. Bayliff CD, Einarson TR. Physician assessment of pharmacists’ interventions: a method of estimating cost avoidance and determining quality assures. Can J Hosp Pharm. 1990;43(4):167–71.

    CAS  PubMed  Google Scholar 

  19. Dagli RJ, Sharma A. Polypharmacy: a global risk factor for elderly people. J Int Oral Health. 2014;6(6):i–ii.

    PubMed  PubMed Central  Google Scholar 

  20. Kripalani S, Roumie CL, Dalal AK, Cawthon C, Businger A, Eden SK, Shintani A, Sponsler KC, Harris LJ, Theobald C, Huang RL, Scheurer D, Hunt S, Jacobson TA, Rask KJ, Vaccarino V, Gandhi TK, Bates DW, Williams MV, Schnipper JL, PILL-CVD (Pharmacist Intervention for Low Literacy in Cardiovascular Disease) Study Group. Effect of a pharmacist intervention on clinically important medication errors after hospital discharge: a randomized trial. Ann Intern Med. 2012;157(1):1–10.

    Article  Google Scholar 

  21. Jack BW, Chetty VK, Anthony D, Greenwald JL, Sanchez GM, Johnson AE, et al. A reengineered hospital discharge program to decrease rehospitalization: a randomized trial. Ann Intern Med. 2009;150:178–87.

    Article  Google Scholar 

  22. Dedhia P, Kravet S, Bulger J, Hinson T, Sridharan A, Kolodner K, Wright S, Howell E. A quality improvement intervention to facilitate the transition of older adults from three hospitals back to their homes. J Am Geriatr Soc. 2009;57(9):1540–6.

    Article  Google Scholar 

  23. Guisado-Gil AB, Mejías-Trueba M, Alfaro-Lara ER, Sánchez-Hidalgo M, Ramírez-Duque N, Santos-Rubio MD. Impact of medication reconciliation on health outcomes: An overview of systematic reviews. Res Social Adm Pharm. 2020;16(8):995–1002.

    Article  CAS  Google Scholar 

  24. DeFrancesco CJ, Fu MC, Kahlenberg CA, et al. Extended antibiotic prophylaxis may be linked to lower peri-prosthetic joint infection rates in high-risk patients: an evidence-based review. HSS J. 2019;15(3):297–301.

    Article  Google Scholar 

Download references


The authors are grateful to Ying Li, Leilei Qin for their excellent technical assistance.


This work was supported by grants from Natural Science Foundation of Chongqing (cstc2019jcyj-msxmX0287), Scientific and Health Joint Medical Research Project of Chongqing(2021MSXM113) to Xinyu Li.

Author information

Authors and Affiliations



All authors contributed to the conception and design of the work. ZXY and XL completed the analysis and interpretation of data for the work. LXY secured the data use agreement on a funded grant and ZXY and XL contributed to the acquisition of data. ZXY, XL and LXY developed the draft of the manuscript. LY, QF, and HW contributed to the implementation of the research, to the analysis of the results, and the writing and review of the final manuscript. All authors contributed to revising it critically for important intellectual content; and final approval of the version to be published; and agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Corresponding author

Correspondence to Xinyu Li.

Ethics declarations

Ethics approval and consent to participate

All methods were carried out in accordance with relevant guidelines and regulations.

This study was approved by the institutional ethics board of The First Affiliated Hospital of Chongqing Medical University (Chongqing, China) in the year of 2020.

Informed consent was obtained from all patients.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zheng, X., Xiao, L., Li, Y. et al. Improving safety and efficacy with pharmacist medication reconciliation in orthopedic joint surgery within an enhanced recovery after surgery program. BMC Health Serv Res 22, 448 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: