Potentially inappropriate medication prescribing by nurse practitioners and physicians.

Szczegóły
Abstrakt

Tytuł:: Potentially inappropriate medication prescribing by nurse practitioners and physicians.
Autorzy:: Chou LN; Office of Biostatistics, University of Texas Medical Branch, Galveston, Texas, USA.; Department of Preventive Medicine and Population Health, University of Texas Medical Branch, Galveston, Texas, USA.
Kuo YF; Office of Biostatistics, University of Texas Medical Branch, Galveston, Texas, USA.; Department of Preventive Medicine and Population Health, University of Texas Medical Branch, Galveston, Texas, USA.; Department in Internal Medicine, Division of Geriatrics and Palliative Care, University of Texas Medical Branch, Galveston, Texas, USA.; Sealy Center on Aging, University of Texas Medical Branch, Galveston, Texas, USA.
Raji MA; Department in Internal Medicine, Division of Geriatrics and Palliative Care, University of Texas Medical Branch, Galveston, Texas, USA.; Sealy Center on Aging, University of Texas Medical Branch, Galveston, Texas, USA.
Goodwin JS; Department in Internal Medicine, Division of Geriatrics and Palliative Care, University of Texas Medical Branch, Galveston, Texas, USA.; Sealy Center on Aging, University of Texas Medical Branch, Galveston, Texas, USA.
Źródło:: Journal of the American Geriatrics Society [J Am Geriatr Soc] 2021 Jul; Vol. 69 (7), pp. 1916-1924. Date of Electronic Publication: 2021 Mar 22.
Typ publikacji:: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, P.H.S.
Język:: English
Imprint Name(s):: Publication: Malden, MA : Blackwell Science
Original Publication: New York [etc.]
MeSH Terms:: Ambulatory Care/*statistics & numerical data
Hospitalization/*statistics & numerical data
Inappropriate Prescribing/*statistics & numerical data
Nurse Practitioners/*statistics & numerical data
Physicians/*statistics & numerical data
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Medicare ; Odds Ratio ; Risk Factors ; Texas ; United States
References:: Med Care. 2015 Sep;53(9):776-83. (PMID: 26270826)
Health Aff (Millwood). 2013 Jul;32(7):1236-43. (PMID: 23836739)
Age Ageing. 2017 Jul 1;46(4):607-613. (PMID: 28064169)
Policy Polit Nurs Pract. 2017 May;18(2):84-94. (PMID: 28766986)
J Am Geriatr Soc. 2012 Apr;60(4):616-31. (PMID: 22376048)
BMC Geriatr. 2019 May 29;19(1):154. (PMID: 31142286)
Pharmacotherapy. 2018 Apr;38(4):417-427. (PMID: 29457258)
J Am Geriatr Soc. 2014 Dec;62(12):2261-72. (PMID: 25516023)
Nurse Pract. 2017 Jan 20;42(1):18-46. (PMID: 28002144)
Fam Pract. 2016 Dec;33(6):572-579. (PMID: 27543795)
Arch Intern Med. 1997 Jul 28;157(14):1531-6. (PMID: 9236554)
Int J Clin Pharm. 2020 Jun;42(3):911-922. (PMID: 32390088)
Am J Med. 2018 Mar;131(3):276-283.e2. (PMID: 28893514)
J Am Geriatr Soc. 2015 Nov;63(11):2227-46. (PMID: 26446832)
Arch Intern Med. 1991 Sep;151(9):1825-32. (PMID: 1888249)
Pharmacoepidemiol Drug Saf. 2013 Jul;22(7):728-34. (PMID: 23494811)
Prim Health Care Res Dev. 2015 Sep;16(5):513-27. (PMID: 25482424)
Health Serv Res. 2019 Feb;54(1):187-197. (PMID: 30284237)
BMC Geriatr. 2011 Nov 30;11:79. (PMID: 22129458)
Med Care. 2016 Jan;54(1):81-9. (PMID: 26565526)
JAMA Intern Med. 2016 Apr;176(4):473-82. (PMID: 26998708)
Nurs Outlook. 2017 Nov - Dec;65(6):679-688. (PMID: 28803624)
PLoS One. 2012;7(8):e43617. (PMID: 22928004)
Med Care Res Rev. 2012 Apr;69(2):158-75. (PMID: 21976416)
BMJ Open. 2014 Dec 08;4(12):e006544. (PMID: 25488097)
J Am Geriatr Soc. 2019 Apr;67(4):674-694. (PMID: 30693946)
PLoS One. 2019 Jun 13;14(6):e0218174. (PMID: 31194800)
JAMA. 2019 Jan 1;321(1):102-105. (PMID: 30620363)
Med Care. 2005 Nov;43(11):1130-9. (PMID: 16224307)
Drugs Real World Outcomes. 2016 Sep;3(3):289-296. (PMID: 27747828)
Cochrane Database Syst Rev. 2018 Jul 16;7:CD001271. (PMID: 30011347)
Ther Adv Drug Saf. 2020 Jun 12;11:2042098620933741. (PMID: 32587680)
Health Serv Res. 2018 Feb;53(1):405-429. (PMID: 28024315)
Int J Pharm Pract. 2019 Oct;27(5):408-423. (PMID: 30964225)
Med Care. 2018 Jun;56(6):484-490. (PMID: 29613873)
Grant Information:: P30 AG024832 United States AG NIA NIH HHS; R01 HS020642 United States HS AHRQ HHS; P30-AG024832 United States AG NIA NIH HHS; R01HS020642 United States HS AHRQ HHS
Contributed Indexing:: Keywords: nurse practitioners; potentially inappropriate medication; quality of prescribing
Entry Date(s):: Date Created: 20210322 Date Completed: 20211011 Latest Revision: 20220716
Update Code:: 20240105
PubMed Central ID:: PMC8273104
DOI:: 10.1111/jgs.17120
PMID:: 33749843
: Czasopismo naukowe

Full Text Finder

Background: Potentially inappropriate medication (PIM) use is a risk factor for hospitalization and mortality. However, there were few studies focusing on the impact of provider type on PIM use.
Objective: We aimed to estimate the initial and refill PIM prescribing rate for physician visits and nurse practitioner (NP) visits and the impact of provider type on PIM prescribing.
Research Design: We used 100% Texas Medicare data to define physician visits and NP visits in 2016. The rate of visits with a PIM prescription from the same provider was measured, distinguishing between initial and refill prescription to estimate the PIM rate and adjusted odds ratio (OR) by provider type.
Results: There were 24.1 per 1000 visits with a prescription for a PIM: 9.0 per 1000 visits for an initial PIM and 15.1 per 1000 visits for a refill PIM. A visit to an NP was less likely to result in an initial (OR = 0.74, 95% confidence interval [CI] = 0.70-0.79) or refill (OR = 0.54, 95% CI = 0.51-0.57) PIM. The association of lower odds of receiving a prescription for an initial PIM from an NP was substantially stronger among black enrollees than white enrollees (OR = 0.44, 95%CI = 0.30-0.65 for blacks and OR = 0.73, 95%CI = 0.68-0.78 for white enrollees). The association of an NP provider with lower odds of receiving a PIM refill was more pronounced in older patients and in those with more comorbidities.
Conclusions: NPs prescribed fewer initial PIMs and were less likely to refill a PIM after an outpatient visit than physicians. The lower odds of receiving PIMs during an NP visit varied by age, race/ethnicity, rurality, and number of comorbidities.
(© 2021 The American Geriatrics Society.)

Informacja