Clinical effectiveness and cost-effectiveness of issuing longer versus shorter duration (3-month vs. 28-day) prescriptions in patients with chronic conditions: systematic review and economic modelling

Miani C, Martin A, Exley J, Doble B, Wilson E, Payne R, Avery A, Meads C, Kirtley A, Jones MM, King S (2017)
Health Technology Assessment 21(78): 1-128.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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DOI
Autor*in
Miani, CélineUniBi; Martin, Adam; Exley, Josephine; Doble, Brett; Wilson, Ed; Payne, Rupert; Avery, Anthony; Meads, Catherine; Kirtley, Anne; Jones, Molly Morgan; King, Sarah
Einrichtung
Fakultät für Gesundheitswissenschaften > AG 3 Epidemiologie & International Public Health
Erscheinungsjahr
2017
Zeitschriftentitel
Health Technology Assessment
Band
21
Ausgabe
78
Seite(n)
1-128
ISSN
1366-5278, 2046-4924
Page URI
https://pub.uni-bielefeld.de/record/2916293

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Miani C, Martin A, Exley J, et al. Clinical effectiveness and cost-effectiveness of issuing longer versus shorter duration (3-month vs. 28-day) prescriptions in patients with chronic conditions: systematic review and economic modelling. Health Technology Assessment. 2017;21(78):1-128.
Miani, C., Martin, A., Exley, J., Doble, B., Wilson, E., Payne, R., Avery, A., et al. (2017). Clinical effectiveness and cost-effectiveness of issuing longer versus shorter duration (3-month vs. 28-day) prescriptions in patients with chronic conditions: systematic review and economic modelling. Health Technology Assessment, 21(78), 1-128. doi:10.3310/hta21780
Miani, Céline, Martin, Adam, Exley, Josephine, Doble, Brett, Wilson, Ed, Payne, Rupert, Avery, Anthony, et al. 2017. “Clinical effectiveness and cost-effectiveness of issuing longer versus shorter duration (3-month vs. 28-day) prescriptions in patients with chronic conditions: systematic review and economic modelling”. Health Technology Assessment 21 (78): 1-128.
Miani, C., Martin, A., Exley, J., Doble, B., Wilson, E., Payne, R., Avery, A., Meads, C., Kirtley, A., Jones, M. M., et al. (2017). Clinical effectiveness and cost-effectiveness of issuing longer versus shorter duration (3-month vs. 28-day) prescriptions in patients with chronic conditions: systematic review and economic modelling. Health Technology Assessment 21, 1-128.
Miani, C., et al., 2017. Clinical effectiveness and cost-effectiveness of issuing longer versus shorter duration (3-month vs. 28-day) prescriptions in patients with chronic conditions: systematic review and economic modelling. Health Technology Assessment, 21(78), p 1-128.
C. Miani, et al., “Clinical effectiveness and cost-effectiveness of issuing longer versus shorter duration (3-month vs. 28-day) prescriptions in patients with chronic conditions: systematic review and economic modelling”, Health Technology Assessment, vol. 21, 2017, pp. 1-128.
Miani, C., Martin, A., Exley, J., Doble, B., Wilson, E., Payne, R., Avery, A., Meads, C., Kirtley, A., Jones, M.M., King, S.: Clinical effectiveness and cost-effectiveness of issuing longer versus shorter duration (3-month vs. 28-day) prescriptions in patients with chronic conditions: systematic review and economic modelling. Health Technology Assessment. 21, 1-128 (2017).
Miani, Céline, Martin, Adam, Exley, Josephine, Doble, Brett, Wilson, Ed, Payne, Rupert, Avery, Anthony, Meads, Catherine, Kirtley, Anne, Jones, Molly Morgan, and King, Sarah. “Clinical effectiveness and cost-effectiveness of issuing longer versus shorter duration (3-month vs. 28-day) prescriptions in patients with chronic conditions: systematic review and economic modelling”. Health Technology Assessment 21.78 (2017): 1-128.

1 Zitation in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Clinical and cost effectiveness of longer prescriptions for chronic conditions.
, Drug Ther Bull 56(3), 2018
PMID: 29502078

108 References

Daten bereitgestellt von Europe PubMed Central.


NHS, 2015
The scale of repeat prescribing--time for an update.
Petty DR, Zermansky AG, Alldred DP., BMC Health Serv Res 14(), 2014
PMID: 24552190

NHS, 2013

NHS, 0

Prescribing, 2016

National, 2007

Trueman, 2010

Pharmaceutical, 2007

NHS, 2009

NHS, 2010

NHS, 2013
A detailed analysis of the day to day unwanted medicinal products returned to community pharmacies for disposal
Hawksworth, J Soc Adm Pharm 13(), 1996

Pharmaceutical, 2013

All, 2013
Unplanned medication discontinuation as a potential pharmacovigilance signal: a nested young person cohort study.
Sun AP, Kirby B, Black C, Helms PJ, Bennie M, McLay JS., BMC Pharmacol Toxicol 15(), 2014
PMID: 24594374

British, 0
Individualisation or standardisation: trends in National Health Service prescription durations in England 1998-2009.
Davies JE, Taylor DG., Prim Health Care Res Dev 14(2), 2012
PMID: 23031628

Duerden, 2011

General, 2013

General, 2013
UK interventions to control medicines wastage: a critical review.
White KG., Int J Pharm Pract 18(3), 2010
PMID: 20509346
Restricting patients' medication supply to one month: saving or wasting money?
Domino ME, Olinick J, Sleath B, Leinwand S, Byrns PJ, Carey T., Am J Health Syst Pharm 61(13), 2004
PMID: 15287233
Trends in thyroid hormone prescribing and consumption in the UK.
Mitchell AL, Hickey B, Hickey JL, Pearce SH., BMC Public Health 9(), 2009
PMID: 19432950
Duration of initial antihypertensive prescription and medication adherence: a cohort study among 203,259 newly diagnosed hypertensive patients.
Wong MC, Tam WW, Wang HH, Cheung CS, Tong EL, Cheung NT, Leeder SR, Griffiths SM., Int. J. Cardiol. 182(), 2014
PMID: 25638445

Department, 2011

Higgins, 2011
The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration
Liberati, Ann Intern Med 15(), 2009

King, 2015

The, 0

Sterne, 2016

Schünemann, 2011
Comparing medication wastage by fill quantity and fulfillment channel
Murphy, Am J Pharm Benefits 4(), 2012

Higgins, 2011

Deeks, 2008
Adherence to chronic medication therapy associated with 90-day supplies compared with 30-day supplies
Hermes, J Manag Care Pharm 16(), 2010
Comparing medication adherence and wastage among three different retail programs
Jiang, Value Health 10(), 2007
Trends in antidepressant prescribing for new episodes of depression and implications for health system quality measures.
Pfeiffer PN, Szymanski BR, Valenstein M, McCarthy JF, Zivin K., Med Care 50(1), 2012
PMID: 22182925
Wasted medication: How big is the problem?
Ryvkin, Value Health 12(), 2009
Impact of prescription size on statin adherence and cholesterol levels.
Batal HA, Krantz MJ, Dale RA, Mehler PS, Steiner JF., BMC Health Serv Res 7(), 2007
PMID: 17961256
The effect of prescription size on acquisition of maintenance medications.
Steiner JF, Robbins LJ, Roth SC, Hammond WS., J Gen Intern Med 8(6), 1993
PMID: 8320574
Does 90-day prescription supply at retail improve compliance in a managed care setting?
Thiebaud, Value Health 9(), 2006
A model for comparing unnecessary costs associated with various prescription fill-quantity policies: illustration using VA data
Walton, J Managed Care Pharm 7(), 2001
Predictors of medication-refill adherence in an indigent rural population.
Schectman JM, Bovbjerg VE, Voss JD., Med Care 40(12), 2002
PMID: 12458310
Increasing time costs and copayments for prescription drugs: an analysis of policy changes in a complex environment.
Domino ME, Martin BC, Wiley-Exley E, Richards S, Henson A, Carey TS, Sleath B., Health Serv Res 46(3), 2011
PMID: 21306363
Medication days' supply, adherence, wastage, and cost among chronic patients in Medicaid.
Taitel M, Fensterheim L, Kirkham H, Sekula R, Duncan I., Medicare Medicaid Res Rev 2(3), 2012
PMID: 24800150
Ninety-day versus thirty-day drug-dispensing systems.
Parikh SP, Dishman BR, Smith TL., Am J Health Syst Pharm 58(13), 2001
PMID: 11449874
Health care system-level factors associated with performance on Medicare STAR adherence metrics in a large, integrated delivery system.
Schmittdiel JA, Nichols GA, Dyer W, Steiner JF, Karter AJ, Raebel MA., Med Care 53(4), 2015
PMID: 25719517
A retrospective comparative analysis of medication waste from day supply plan design in specialty pharmacy
Faris, J Manag Care Pharm 16(), 2010
Cost savings associated with filling a 3-month supply of prescription medicines.
Rabbani A, Alexander GC., Appl Health Econ Health Policy 7(4), 2009
PMID: 19905039

National, 2012

Drummond, 2015

Wells, 2014

NHS, 2012
Relationship between adherence level to statins, clinical issues and health-care costs in real-life clinical setting.
Dragomir A, Cote R, White M, Lalonde L, Blais L, Berard A, Perreault S., Value Health 13(1), 2009
PMID: 19695008
Effect of statin adherence on cerebrovascular disease in primary prevention.
Perreault S, Ellia L, Dragomir A, Cote R, Blais L, Berard A, Lalonde L., Am. J. Med. 122(7), 2009
PMID: 19559167
A meta-analysis of the association between adherence to drug therapy and mortality.
Simpson SH, Eurich DT, Majumdar SR, Padwal RS, Tsuyuki RT, Varney J, Johnson JA., BMJ 333(7557), 2006
PMID: 16790458
Medication adherence and health care utilization in pediatric chronic illness: a systematic review.
McGrady ME, Hommel KA., Pediatrics 132(4), 2013
PMID: 23999953
Medication adherence leads to lower health care use and costs despite increased drug spending.
Roebuck MC, Liberman JN, Gemmill-Toyama M, Brennan TA., Health Aff (Millwood) 30(1), 2011
PMID: 21209444
Estimating the Impact of Oral Diabetes Medication Adherence on Medical Costs in VA.
Wong ES, Bryson CL, Hebert PL, Liu CF., Ann Pharmacother 48(8), 2014
PMID: 24847159

NHS, 2016
Patient and carer experience of obtaining regular prescribed medication for chronic disease in the English National Health Service: a qualitative study.
Wilson PM, Kataria N, McNeilly E., BMC Health Serv Res 13(), 2013
PMID: 23705866

Addison’s, 2009
Contrasting measures of adherence with simple drug use, medication switching, and therapeutic duplication.
Martin BC, Wiley-Exley EK, Richards S, Domino ME, Carey TS, Sleath BL., Ann Pharmacother 43(1), 2009
PMID: 19126828
Assessing compliance to antihypertensive medications using computer-based pharmacy records.
Christensen DB, Williams B, Goldberg HI, Martin DP, Engelberg R, LoGerfo JP., Med Care 35(11), 1997
PMID: 9366895
Medication Adherence Measures: An Overview.
Lam WY, Fresco P., Biomed Res Int 2015(), 2015
PMID: 26539470
The assessment of refill compliance using pharmacy records: methods, validity, and applications.
Steiner JF, Prochazka AV., J Clin Epidemiol 50(1), 1997
PMID: 9048695
Understanding can lead to a solution for non-adherence
Payne, Prescriber 25(), 2014
Developing countries need stronger ethical guidelines on research.
Watson R., BMJ 334(7603), 2007
PMID: 17525420
Secondary data analysis of large data sets in urology: successes and errors to avoid.
Schlomer BJ, Copp HL., J. Urol. 191(3), 2013
PMID: 24140846

Gauch, 2009
Retrospective, multicohort analysis of the Clinical Practice Research Datalink (CPRD) to determine differences in the cost of medication wastage, dispensing fees and prescriber time of issuing either short (<60 days) or long (≥60 days) prescription lengths in primary care for common, chronic conditions in the UK.
Doble B, Payne R, Harshfield A, Wilson ECF., BMJ Open 7(12), 2017
PMID: 29208621
Data Resource Profile: Clinical Practice Research Datalink (CPRD).
Herrett E, Gallagher AM, Bhaskaran K, Forbes H, Mathur R, van Staa T, Smeeth L., Int J Epidemiol 44(3), 2015
PMID: 26050254
Completeness and usability of ethnicity data in UK-based primary care and hospital databases.
Mathur R, Bhaskaran K, Chaturvedi N, Leon DA, vanStaa T, Grundy E, Smeeth L., J Public Health (Oxf) 36(4), 2013
PMID: 24323951
Is the GPRD GOLD population comparable to the UK population?
Campbell, Pharmacoepidemiol Drug Saf 22(), 2013

Medicines, 2016

Joint, 0
Clobazam and clonazepam use in epilepsy: Results from a UK database incident user cohort study.
Brodie MJ, Chung S, Wade A, Quelen C, Guiraud-Diawara A, Francois C, Verpillat P, Shen V, Isojarvi J., Epilepsy Res. 123(), 2016
PMID: 27135706
Understanding flucloxacillin prescribing trends and treatment non-response in UK primary care: a Clinical Practice Research Datalink (CPRD) study.
Francis NA, Hood K, Lyons R, Butler CC., J. Antimicrob. Chemother. 71(7), 2016
PMID: 27090629

National, 2015

National, 2015

National, 2013

National, 2016

WHO, 2015

NHS, 2015
The impact of e-prescribing on prescriber and staff time in ambulatory care clinics: a time motion study.
Hollingworth W, Devine EB, Hansen RN, Lawless NM, Comstock BA, Wilson-Norton JL, Tharp KL, Sullivan SD., J Am Med Inform Assoc 14(6), 2007
PMID: 17712088

Curtis, 2015
Antidepressant use and risk of adverse outcomes in older people: population based cohort study.
Coupland C, Dhiman P, Morriss R, Arthur A, Barton G, Hippisley-Cox J., BMJ 343(), 2011
PMID: 21810886

NHS, 2016

National, 2013
Protocol for the New Medicine Service Study: a randomized controlled trial and economic evaluation with qualitative appraisal comparing the effectiveness and cost effectiveness of the New Medicine Service in community pharmacies in England.
Boyd M, Waring J, Barber N, Mehta R, Chuter A, Avery AJ, Salema NE, Davies J, Latif A, Tanajewski L, Elliott RA., Trials 14(), 2013
PMID: 24289059

National, 2011
Estimating utility values for health states of type 2 diabetic patients using the EQ-5D (UKPDS 62).
Clarke P, Gray A, Holman R., Med Decis Making 22(4), 2002
PMID: 12150599
Usefulness of EQ-5D in assessing health status in primary care patients with major depressive disorder.
Sapin C, Fantino B, Nowicki ML, Kind P., Health Qual Life Outcomes 2(), 2004
PMID: 15128456
A model to estimate the lifetime health outcomes of patients with type 2 diabetes: the United Kingdom Prospective Diabetes Study (UKPDS) Outcomes Model (UKPDS no. 68).
Clarke PM, Gray AM, Briggs A, Farmer AJ, Fenn P, Stevens RJ, Matthews DR, Stratton IM, Holman RR; UK Prospective Diabetes Study (UKDPS) Group., Diabetologia 47(10), 2004
PMID: 15517152

National, 2010
Comparative efficacy and acceptability of 12 new-generation antidepressants: a multiple-treatments meta-analysis.
Cipriani A, Furukawa TA, Salanti G, Geddes JR, Higgins JP, Churchill R, Watanabe N, Nakagawa A, Omori IM, McGuire H, Tansella M, Barbui C., Lancet 373(9665), 2009
PMID: 19185342
The impact of diabetes-related complications on healthcare costs: results from the United Kingdom Prospective Diabetes Study (UKPDS Study No. 65).
Clarke P, Gray A, Legood R, Briggs A, Holman R., Diabet. Med. 20(6), 2003
PMID: 12786677
Good practice guidelines for decision-analytic modelling in health technology assessment: a review and consolidation of quality assessment.
Philips Z, Bojke L, Sculpher M, Claxton K, Golder S., Pharmacoeconomics 24(4), 2006
PMID: 16605282

O’Hagan, 2006
Impact of an electronic medication management system on hospital doctors' and nurses' work: a controlled pre-post, time and motion study.
Westbrook JI, Li L, Georgiou A, Paoloni R, Cullen J., J Am Med Inform Assoc 20(6), 2013
PMID: 23715803
The impact of a closed-loop electronic prescribing and administration system on prescribing errors, administration errors and staff time: a before-and-after study.
Franklin BD, O'Grady K, Donyai P, Jacklin A, Barber N., Qual Saf Health Care 16(4), 2007
PMID: 17693676
Substitution of doctors by nurses in primary care.
Laurant M, Reeves D, Hermens R, Braspenning J, Grol R, Sibbald B., Cochrane Database Syst Rev (2), 2005
PMID: 15846614
Nurse management of patients with minor illnesses in general practice: multicentre, randomised controlled trial.
Shum C, Humphreys A, Wheeler D, Cochrane MA, Skoda S, Clement S., BMJ 320(7241), 2000
PMID: 10764365
Randomised controlled trial comparing cost effectiveness of general practitioners and nurse practitioners in primary care.
Venning P, Durie A, Roland M, Roberts C, Leese B., BMJ 320(7241), 2000
PMID: 10764367
Cognitive therapy and pharmacotherapy. Singly and together in the treatment of depression.
Murphy GE, Simons AD, Wetzel RD, Lustman PJ., Arch. Gen. Psychiatry 41(1), 1984
PMID: 6691783

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