Impact of Check of Medication Appropriateness (CMA) in optimizing analgesic prescribing: An interrupted time series analysis.


Journal

European journal of pain (London, England)
ISSN: 1532-2149
Titre abrégé: Eur J Pain
Pays: England
ID NLM: 9801774

Informations de publication

Date de publication:
03 2021
Historique:
pubmed: 2 12 2020
medline: 28 4 2021
entrez: 1 12 2020
Statut: ppublish

Résumé

Pain therapy in inpatients is regularly suboptimal and might be improved by clinical pharmacy services. In our hospital, we have implemented a software-supported 'Check of Medication Appropriateness' (CMA), which is a centralized pharmacist-led service consisting of a clinical rule-based screening for potentially inappropriate prescriptions (PIPs), and a subsequent medication review by pharmacists. We aimed to investigate the impact of the CMA on pain-related prescribing. A quasi-experimental study was performed in a large teaching hospital, using an interrupted time series design. Pre-implementation, patients were exposed to standard of care. Afterwards, a pain-focused CMA comprising 12 specific clinical rules pertaining to analgesic prescribing were implemented in the post-implementation period. A regression model was used to assess the impact of the intervention on the number of pain-related residual PIPs between both periods. The total number of recommendations and acceptance rate was recorded for the post-implementation period. At baseline, a median number of 13.1 (range: 9.5-15.8) residual PIPs per day was observed. After the CMA intervention, the number was reduced to 2.2 (range: 0-9.5) per day. Clinical rules showed an immediate relative reduction of 66% (p < .0001) in pain-related residual PIPs. A significant decreasing time trend was observed during the post-implementation period. Post-implementation, 1683 recommendations were given over 1 year with an acceptance rate of 74.3%. We proved that the CMA approach reduced the number of pain-related residual PIPs. More pharmacist involvement and the use of clinical rules during hospital stay should be further promoted to optimize appropriate prescribing of analgesics. Prescribing of analgesics should be improved in inpatients to optimize pain control and to reduce iatrogenic harm. The Check of Medication Appropriateness (CMA) approach, comprising a clinical rule-based screening for patients at risk and a targeted medication review by pharmacists, reduced the number of pain-related potentially inappropriate prescriptions in a highly significant and sustained manner. This study presents the opportunities of a centralized clinical pharmacy service to help clinicians to further improve analgesic prescribing.

Sections du résumé

BACKGROUND
Pain therapy in inpatients is regularly suboptimal and might be improved by clinical pharmacy services. In our hospital, we have implemented a software-supported 'Check of Medication Appropriateness' (CMA), which is a centralized pharmacist-led service consisting of a clinical rule-based screening for potentially inappropriate prescriptions (PIPs), and a subsequent medication review by pharmacists. We aimed to investigate the impact of the CMA on pain-related prescribing.
METHODS
A quasi-experimental study was performed in a large teaching hospital, using an interrupted time series design. Pre-implementation, patients were exposed to standard of care. Afterwards, a pain-focused CMA comprising 12 specific clinical rules pertaining to analgesic prescribing were implemented in the post-implementation period. A regression model was used to assess the impact of the intervention on the number of pain-related residual PIPs between both periods. The total number of recommendations and acceptance rate was recorded for the post-implementation period.
RESULTS
At baseline, a median number of 13.1 (range: 9.5-15.8) residual PIPs per day was observed. After the CMA intervention, the number was reduced to 2.2 (range: 0-9.5) per day. Clinical rules showed an immediate relative reduction of 66% (p < .0001) in pain-related residual PIPs. A significant decreasing time trend was observed during the post-implementation period. Post-implementation, 1683 recommendations were given over 1 year with an acceptance rate of 74.3%.
CONCLUSIONS
We proved that the CMA approach reduced the number of pain-related residual PIPs. More pharmacist involvement and the use of clinical rules during hospital stay should be further promoted to optimize appropriate prescribing of analgesics.
SIGNIFICANCE
Prescribing of analgesics should be improved in inpatients to optimize pain control and to reduce iatrogenic harm. The Check of Medication Appropriateness (CMA) approach, comprising a clinical rule-based screening for patients at risk and a targeted medication review by pharmacists, reduced the number of pain-related potentially inappropriate prescriptions in a highly significant and sustained manner. This study presents the opportunities of a centralized clinical pharmacy service to help clinicians to further improve analgesic prescribing.

Identifiants

pubmed: 33259703
doi: 10.1002/ejp.1705
doi:

Substances chimiques

Analgesics 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

704-713

Informations de copyright

© 2020 European Pain Federation - EFIC®.

Références

Avery, A. J., & Coleman, J. J. (2018). Tackling potentially inappropriate prescribing. BMJ, 363, 1-2. https://doi.org/10.1136/bmj.k4688
Berthe-Aucejo, A., Nguyen, N. P. K. K., Angoulvant, F., Boulkedid, R., Bellettre, X., Weil, T., Alberti, C., Bourdon, O., & Prot-Labarthe, S. (2019). Interrater reliability of a tool to assess omission of prescription and inappropriate prescriptions in paediatrics. International Journal of Clinical Pharmacy, 41, 734-740. https://doi.org/10.1007/s11096-019-00819-1
Boeker, E. B., Ram, K., Klopotowska, J. E., De Boer, M., Creus, M. T., De Andrés, A. L., Sakuma, M., Morimoto, T., Boermeester, M. A., & Dijkgraaf, M. G. W. (2015). An individual patient data meta-analysis on factors associated with adverse drug events in surgical and non-surgical inpatients. British Journal of Clinical Pharmacology, 79, 548-557. https://doi.org/10.1111/bcp.12504
Boren, L. L., Locke, A. M., Friedman, A. S., Blackmore, C. C., & Woolf, R. (2019). Team-Based Medicine: Incorporating a Clinical Pharmacist into Pain and Opioid Practice Management. PMR, 11, 1170-1177. https://doi.org/10.1002/pmrj.12127
Bos, J. M., van den Bemt, P. M. L. A., Kievit, W., Pot, J. L. W., Nagtegaal, J. E., Wieringa, A., van der Westerlaken, M. M. L., van der Wilt, G. J., de Smet, P. A. G. M., & Kramers, C. (2017). A multifaceted intervention to reduce drug-related complications in surgical patients. British Journal of Clinical Pharmacology, 83, 664-677. https://doi.org/10.1111/bcp.13141
Carroll, A. E. (2019). Averting Alert Fatigue to Prevent Adverse Drug Reactions. JAMA-J Am Med Assoc, 322, 601. https://doi.org/10.1001/jama.2019.11710
Chou, R., Gordon, D. B., De Leon-Casasola, O. A., Rosenberg, J. M., Bickler, S., Brennan, T., Carter, T., Cassidy, C. L., Chittenden, E. H., Degenhardt, E., Griffith, S., Manworren, R., McCarberg, B., Montgomery, R., Murphy, J., Perkal, M. F., Suresh, S., Sluka, K., Strassels, S., … Wu, C. L. (2016). Management of postoperative pain: A clinical practice guideline from the American pain society, the American society of regional anesthesia and pain medicine, and the American society of anesthesiologists’ committee on regional anesthesia, executive committee, and Administrative Council. The Journal of Pain, 17, 131-157. https://doi.org/10.1016/j.jpain.2015.12.008
Dean, B., Schachter, M., Vincent, C., & Barber, N. (2002). Causes of prescribing errors in hospital inpatients: A prospective study. Lancet, 359, 1373-1378. https://doi.org/10.1016/S0140-6736(02)08350-2
Dowell, D., Haegerich, T. M., & Chou, R. (2016). CDC guideline for prescribing opioids for chronic pain-United States, 2016. JAMA-J Am Med Assoc, 315, 1624-1645. https://doi.org/10.1001/jama.2016.1464
Farmer, A. D., Bruckner Holt, C., Downes, T. J., Ruggeri, E., Del Vecchio, S., & De Giorgio, R. (2018). Pathophysiology, diagnosis, and management of opioid-induced constipation. Lancet Gastroenterol Hepatol, 3, 203-212. https://doi.org/10.1016/S2468-1253(18)30008-6
Geeson, C., Wei, L., & Franklin, B. D. (2020). High-risk medicines associated with clinically relevant medication-related problems in UK hospitals: A prospective observational study. British Journal of Clinical Pharmacology, 86, 165-169. https://doi.org/10.1111/bcp.14119
Genes, N., Kim, M. S., Thum, F. L., Rivera, L., Beato, R., Song, C., Soriano, J., Kannry, J., Baumlin, K., & Hwang, U. (2016). Usability evaluation of a clinical decision support system for geriatric ED pain treatment. Applied Clinical Informatics, 07(01), 128-142. https://doi.org/10.4338/ACI-2015-08-RA-0108
Guenter, D., Abouzahra, M., Schabort, I., Radhakrishnan, A., Nair, K., Orr, S., Langevin, J., Taenzer, P., & Moulin, D. E. (2019). Design Process and Utilization of a Novel Clinical Decision Support System for Neuropathic Pain in Primary Care: Mixed Methods Observational Study. JMIR Med Informatics, 7, e14141. https://doi.org/10.2196/14141
Howard, R. L., Avery, A. J., Slavenburg, S., Royal, S., Pipe, G., Lucassen, P., & Pirmohamed, M. (2007). Which drugs cause preventable admissions to hospital? A systematic review. British Journal of Clinical Pharmacology, 63, 136-147. https://doi.org/10.1111/j.1365-2125.2006.02698.x
Jozwiak-Bebenista, M., & Nowak, J. Z. (2014). Paracetamol: Mechanism of action, applications and safety concern. Acta Poloniae Pharmaceutica, 71, 11-23.
Kaufmann, C. P., Stämpfli, D., Hersberger, K. E., & Lampert, M. L. (2015). Determination of risk factors for drug-related problems: A multidisciplinary triangulation process. British Medical Journal Open, 5, 1-7. https://doi.org/10.1136/bmjopen-2014-006376
Kjeldsen, L. J., Clemmensen, M. H., Kronborg, C., Hedegaard, U., Larsen, L. H., Yderstraede, I. O., Nielsen, J. L., & Nielsen, T. R. H. (2014). Evaluation of a controlled, national collaboration study on a clinical pharmacy service of screening for risk medications. International Journal of Clinical Pharmacy, 36, 368-376. https://doi.org/10.1007/s11096-013-9905-6
Krähenbühl-Melcher, A., Schlienger, R., Lampert, M., Haschke, M., Drewe, J., & Krähenbühl, S. (2007). Drug-related problems in hospitals: A review of the recent literature. Drug Safety, 30, 379-407. https://doi.org/10.2165/00002018-200730050-00003
Liu, S., Gnjidic, D., Nguyen, J., & Penm, J. (2020). Effectiveness of interventions on the appropriate use of opioids for noncancer pain among hospital inpatients: A systematic review. British Journal of Clinical Pharmacology, 86, 210-243. https://doi.org/10.1111/bcp.14203
Mathew, S., Chamberlain, C., Alvarez, K. S., Alvarez, C. A., & Shah, M. (2016). Impact of a pharmacy-led pain management team on adults in an Academic Medical Center. Hospital Pharmacy, 51, 639-645. https://doi.org/10.1310/hpj5108-639
Meissner, W., Coluzzi, F., Fletcher, D., Huygen, F., Morlion, B., Neugebauer, E., Pérez, A. M., & Pergolizzi, J. (2015). Improving the management of post-operative acute pain: Priorities for change. Current Medical Research and Opinion, 31, 2131-2143. https://doi.org/10.1185/03007995.2015.1092122
Meissner, W., Huygen, F., Neugebauer, E. A. M., Osterbrink, J., Benhamou, D., Betteridge, N., Coluzzi, F., De Andres, J., Fawcett, W., Fletcher, D., Kalso, E., Kehlet, H., Morlion, B., Montes Pérez, A., Pergolizzi, J., & Schäfer, M. (2018). Management of acute pain in the postoperative setting: The importance of quality indicators. Current Medical Research and Opinion, 34, 187-196. https://doi.org/10.1080/03007995.2017.1391081
Nair, K. M., Malaeekeh, R., Schabort, I., Taenzer, P., Radhakrishnan, A., & Guenter, D. (2015). A clinical decision support system for chronic pain management in primary care: Usability testing and its relevance. Journal of Innovation in Health Informatics, 22, 329-332. https://doi.org/10.14236/jhi.v22i3.149
Netherton, S. J., Lonergan, K., Wang, D., McRae, A., & Lang, E. (2014). Computerized physician order entry and decision support improves ED analgesic ordering for renal colic. American Journal of Emergency Medicine, 32(9), 958-961. https://doi.org/10.1016/j.ajem.2014.05.002
O'Mahony, D., Gudmundsson, A., Soiza, R. L., Petrovic, M., Jose Cruz-Jentoft, A., Cherubini, A., Fordham, R., Byrne, S., Dahly, D., Gallagher, P., Lavan, A., Curtin, D., Dalton, K., Cullinan, S., Flanagan, E., Shiely, F., Samuelsson, O., Sverrisdottir, A., Subbarayan, S., … Eustace, J. (2020). Prevention of adverse drug reactions in hospitalized older patients with multi-morbidity and polypharmacy: The SENATOR* randomized controlled clinical trial. Age and Ageing, 2, afaa072. https://doi.org/10.1093/ageing/afaa072
Poirier, R. H., Brown, C. S., Baggenstos, Y. T., Walden, S. G., Gann, N. Y., Patty, C. M., Sandoval, R. A., & McNulty, J. R. (2019). Impact of a pharmacist-directed pain management service on inpatient opioid use, pain control, and patient safety. American Journal of Health-System Pharmacy, 76, 17-25. https://doi.org/10.1093/ajhp/zxy003
Quintens, C., De Rijdt, T., Van Nieuwenhuyse, T., Simoens, S., Peetermans, W. E., Van Den Bosch, B., Casteels, M., & Spriet, I. (2019). Development and implementation of “check of Medication Appropriateness” (CMA): Advanced pharmacotherapy-related clinical rules to support medication surveillance. BMC Medical Informatics and Decision Making, 19, 1-10. https://doi.org/10.1186/s12911-019-0748-5
Quintens, C., Van de Sijpe, G., Van der Linden, L., & Spriet, I. (2020). Computerised prescribing support still needs a human touch. Age and Ageing, https://doi.org/10.1093/ageing/afaa200
Saedder, E. A., Brock, B., Nielsen, L. P., Bonnerup, D. K., & Lisby, M. (2014). Identifying high-risk medication: A systematic literature review. European Journal of Clinical Pharmacology, 70, 637-645. https://doi.org/10.1007/s00228-014-1668-z
Saedder, E. A., Lisby, M., Nielsen, L. P., Rungby, J., Andersen, L. V., Bonnerup, D. K., & Brock, B. (2016). Detection of Patients at High Risk of Medication Errors: Development and Validation of an Algorithm. Basic & Clinical Pharmacology & Toxicology, 118, 143-149. https://doi.org/10.1111/bcpt.12473
Scott, I. A., Pillans, P. I., Barras, M., & Morris, C. (2018). Using EMR-enabled computerized decision support systems to reduce prescribing of potentially inappropriate medications: A narrative review. Therapeutic Advances in Drug Safety, 12, 559-573. https://doi.org/10.1177/2042098618784809
Semerjian, M., Durham, M. J., Mirzaian, E., Lou, M., & Richeimer, S. H. (2019). Clinical Pharmacy Services in a Multidisciplinary Specialty Pain Clinic. Pain Practice, 19, 303-309. https://doi.org/10.1111/papr.12745
Soumerai, S. B., & Avorn, J. (1990). Principles of Educational Outreach ('Academic Detailing’) to Improve Clinical Decision Making. JAMA - J Am Med Assoc, 263, 549-556. https://doi.org/10.1001/jama.1990.03440040088034
Suggett, E., & Marriott, J. (2016). Risk Factors Associated with the Requirement for Pharmaceutical Intervention in the Hospital Setting: A Systematic Review of the Literature. Drugs, 3, 241-263. https://doi.org/10.1007/s40801-016-0083-4
Thomas, S. K., Mcdowell, S. E., Hodson, J., Nwulu, U., Howard, R. L., Avery, A. J., Slee, A., & Coleman, J. J. (2013). Developing consensus on hospital prescribing indicators of potential harms amenable to decision support. British Journal of Clinical Pharmacology, 76, 797-809. https://doi.org/10.1111/bcp.12087
Wagner, A. K., Soumerai, S. B., Zhang, F., & Ross-Degnan, D. (2002). Segmented regression analysis of interrupted time series studies in medication use research. Journal of Clinical Pharmacy and Therapeutics, 27, 299-309. https://doi.org/10.1046/j.1365-2710.2002.00430.x
Zaal, R. J., den Haak, E. W., Andrinopoulou, E. R., van Gelder, T., Vulto, A. G., & van den Bemt, P. M. L. A. (2020). Physicians’ acceptance of pharmacists’ interventions in daily hospital practice. International Journal of Clinical Pharmacy, 42, 141-149. https://doi.org/10.1007/s11096-020-00970-0

Auteurs

Charlotte Quintens (C)

Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
Pharmacy Department, University Hospitals Leuven, Leuven, Belgium.

Johan De Coster (J)

Department of Anesthesiology, University Hospitals Leuven, Leuven, Belgium.

Lorenz Van der Linden (L)

Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
Pharmacy Department, University Hospitals Leuven, Leuven, Belgium.

Bart Morlion (B)

Leuven Centre for Algology & Pain Management, University Hospitals Leuven, KU Leuven, Leuven, Belgium.

Egon Nijns (E)

Department of Information Technology, University Hospitals Leuven, Leuven, Belgium.

Bart Van den Bosch (B)

Department of Information Technology, University Hospitals Leuven, Leuven, Belgium.
Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium.

Willy E Peetermans (WE)

Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.
Department of General Internal Medicine, University Hospitals Leuven, Leuven, Belgium.

Isabel Spriet (I)

Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
Pharmacy Department, University Hospitals Leuven, Leuven, Belgium.

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