Skip to main content
Log in

An Updated Analysis of Psychotropic Medicine Utilisation in Older People in New Zealand from 2005 to 2019

  • Original Research Article
  • Published:
Drugs & Aging Aims and scope Submit manuscript

Abstract

Background

Psychotropic medicine utilisation in older adults continues to be of interest because of overuse and concerns surrounding its safety and efficacy.

Objective

This study aimed to characterise the utilisation of psychotropic medicines in older people in New Zealand.

Methods

We conducted a repeated cross-sectional analysis of national dispensing data from 1 January, 2005 to 31 December, 2019. We defined utilisation using the Anatomical Therapeutic Chemical classification defined daily dose system. Utilisation was measured in terms of the defined daily dose (DDD) per 1000 older people per day (TOPD).

Results

Overall, the utilisation of psychotropic medicines increased marginally by 0.42% between 2005 and 2019. The utilisation increased for antidepressants (72.42 to 75.21 DDD/TOPD) and antipsychotics (6.06–19.04 DDD/TOPD). In contrast, the utilisation of hypnotics and sedatives (53.74–38.90 DDD/TOPD) and anxiolytics decreased (10.20–9.87 DDD/TOPD). The utilisation of atypical antipsychotics increased (4.06–18.72 DDD/TOPD), with the highest percentage change in DDD/TOPD contributed by olanzapine (520.6 %). In comparison, utilisation of typical antipsychotics was relatively stable (2.00–2.06 DDD/TOPD). The utilisation of venlafaxine increased remarkably by 5.7 times between 2005 and 2019. The utilisation of zopiclone was far greater than that of other hypnotics in 2019.

Conclusions

There was only a marginal increase in psychotropic medicines utilisation from 2005 to 2019 in older adults in New Zealand. There was a five-fold increase in the utilisation of antipsychotic medicines. Continued monitoring of psychotropic medicine utilisation will be of interest to understand the utilisation of antidepressants and antipsychotic medicines during the coronavirus disease 2019 pandemic year.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Bednarczyk E, Cook S, Brauer R, Garfield S. Stakeholders’ views on the use of psychotropic medication in older people: a systematic review. Age Ageing. 2022;51(3):afac060. https://doi.org/10.1093/ageing/afac060.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Bobo WV, Grossardt BR, Lapid MI, Leung JG, Stoppel C, Takahashi PY, et al. Frequency and predictors of the potential overprescribing of antidepressants in elderly residents of a geographically defined U.S. population. Pharmacol Res Perspect. 2019;7(1):e00461. https://doi.org/10.1002/prp2.461.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Cullen B, Smith DJ, Deary IJ, Pell JP, Keyes KM, Evans JJ. Understanding cognitive impairment in mood disorders: mediation analyses in the UK Biobank cohort. Br J Psychiatry. 2019;215(5):683–90. https://doi.org/10.1192/bjp.2019.188.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Wojt IR, Cairns R, Clough AJ, Tan ECK. The prevalence and characteristics of psychotropic-related hospitalisations in older people: a systematic review and meta-analysis. J Am Med Dir Assoc. 2021;22(6):1206-14.e5. https://doi.org/10.1016/j.jamda.2020.12.035.

    Article  PubMed  Google Scholar 

  5. Gerhard T, Huybrechts K, Olfson M, Schneeweiss S, Bobo WV, Doraiswamy PM, et al. Comparative mortality risks of antipsychotic medications in community-dwelling older adults. Br J Psychiatry. 2014;205(1):44–51. https://doi.org/10.1192/bjp.bp.112.122499.

    Article  CAS  PubMed  Google Scholar 

  6. Bernardo M, Rico-Villademoros F, García-Rizo C, Rojo R, Gómez-Huelgas R. Real-world data on the adverse metabolic effects of second-generation antipsychotics and their potential determinants in adult patients: a systematic review of population-based studies. Adv Ther. 2021;38(5):2491–512. https://doi.org/10.1007/s12325-021-01689-8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. WHO Collaborating Centre for Drug Statistics Methodology. Guidelines for ATC classification and DDD assignment. https://www.whocc.no/atc_ddd_methodology/purpose_of_the_atc_ddd_system/. Accessed 14 Mar 2022.

  8. López-Álvarez J, Sevilla-Llewellyn-Jones J, Agüera-Ortiz L. Anticholinergic drugs in geriatric psychopharmacology. Front Neurosci. 2019;13:1309. https://doi.org/10.3389/fnins.2019.01309.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Gerretsen P, Pollock BG. Drugs with anticholinergic properties: a current perspective on use and safety. Expert Opin Drug Saf. 2011;10(5):751–65. https://doi.org/10.1517/14740338.2011.579899.

    Article  PubMed  Google Scholar 

  10. Dilks S, Xavier RM, Kelly C, Johnson J. Implications of antipsychotic use: antipsychotic-induced movement disorders, with a focus on tardive dyskinesia. Nurs Clin N Am. 2019;54(4):595–608. https://doi.org/10.1016/j.cnur.2019.08.004.

    Article  Google Scholar 

  11. Zádori D, Veres G, Szalárdy L, Klivényi P, Vécsei L. Drug-induced movement disorders. Expert Opin Drug Saf. 2015;14(6):877–90. https://doi.org/10.1517/14740338.2015.1032244.

    Article  CAS  PubMed  Google Scholar 

  12. Baldwin DS, Aitchison K, Bateson A, Curran HV, Davies S, Leonard B, et al. Benzodiazepines: risks and benefits: a reconsideration. J Psychopharmacol. 2013;27(11):967–71. https://doi.org/10.1177/0269881113503509.

    Article  CAS  PubMed  Google Scholar 

  13. Airagnes G, Pelissolo A, Lavallée M, Flament M, Limosin F. Benzodiazepine misuse in the elderly: risk factors, consequences, and management. Curr Psychiatry Rep. 2016;18(10):89. https://doi.org/10.1007/s11920-016-0727-9.

    Article  PubMed  Google Scholar 

  14. Hirano Y, Ii Y. Changes in prescription of psychotropic drugs after introduction of polypharmacy reduction policy in Japan based on a large-scale claims database. Clin Drug Investig. 2019;39(11):1077–92. https://doi.org/10.1007/s40261-019-00838-w.

    Article  CAS  PubMed  Google Scholar 

  15. Jackson JW, Fulchino L, Rogers J, Mogun H, Polinski J, Henderson DC, et al. Impact of drug-reimbursement policies on prescribing: a case-study of a newly marketed long-acting injectable antipsychotic among relapsed schizophrenia patients. Pharmacoepidemiol Drug Saf. 2018;27(1):95–104. https://doi.org/10.1002/pds.4354.

    Article  CAS  PubMed  Google Scholar 

  16. Kjosavik SR, Gillam MH, Roughead EE. Average duration of treatment with antidepressants among concession card holders in Australia. Aust N Z J Psychiatry. 2016;50(12):1180–5. https://doi.org/10.1177/0004867415621392.

    Article  PubMed  Google Scholar 

  17. Leopold C, Zhang F, Mantel-Teeuwisse AK, Vogler S, Valkova S, Ross-Degnan D, et al. Impact of pharmaceutical policy interventions on utilisation of antipsychotic medicines in Finland and Portugal in times of economic recession: interrupted time series analyses. Int J Equity Health. 2014;13:53. https://doi.org/10.1186/1475-9276-13-53.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Pharmaceutical Management Agency (PHARMAC). Online pharmaceutical schedule: March 2022. https://schedule.pharmac.govt.nz/ScheduleOnline.php. Accessed 14 Mar 2022.

  19. Royal Australian and New Zealand College of Psychiatrists. The use of antipsychotics in residential aged care: clinical recommendations developed by the RANZCP Faculty of Psychiatry of Old Age (New Zealand). https://www.ranzcp.org/files/resources/college_statements/practice_guidelines/. Accessed 14 Mar 2022.

  20. Højlund M, Andersen JH, Andersen K, Correll CU, Hallas J. Use of antipsychotics in Denmark 1997–2018: a nation-wide drug utilisation study with focus on off-label use and associated diagnoses. Epidemiol Psychiatr Sci. 2021;30: e28. https://doi.org/10.1017/s2045796021000159.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Damiani G, Federico B, Silvestrini G, Bianchi CB, Anselmi A, Iodice L, et al. Impact of regional copayment policy on selective serotonin reuptake inhibitor (SSRI) consumption and expenditure in Italy. Eur J Clin Pharmacol. 2013;69(4):957–63. https://doi.org/10.1007/s00228-012-1422-3.

    Article  PubMed  Google Scholar 

  22. Georgi U, Tesch F, Schmitt J, de With K. Impact of safety warnings for fluoroquinolones on prescribing behaviour: results of a cohort study with outpatient routine data. Infection. 2021;49(3):447–55. https://doi.org/10.1007/s15010-020-01549-7.

    Article  CAS  PubMed  Google Scholar 

  23. Ndukwe HC, Tordoff JM, Wang T, Nishtala PS. Psychotropic medicine utilisation in older people in New Zealand from 2005 to 2013. Drugs Aging. 2014;31(10):755–68. https://doi.org/10.1007/s40266-014-0205-1.

    Article  PubMed  Google Scholar 

  24. Tucker M, Hosford I. Use of psychotropic medicines in residential care facilities for older people in Hawke’s Bay, New Zealand. N Z Med J. 2008;121(1274):18–25.

    PubMed  Google Scholar 

  25. Roberts E, Norris P. Regional variation in anti-depressant dispensings in New Zealand: 1993–1997. N Z Med J. 2001;114(1125):27–30.

    CAS  PubMed  Google Scholar 

  26. Ndukwe HC, Wang T, Tordoff JM, Croucher MJ, Nishtala PS. Geographic variation in psychotropic drug utilisation among older people in New Zealand. Australas J Ageing. 2016;35(4):242–8. https://doi.org/10.1111/ajag.12298.

    Article  PubMed  Google Scholar 

  27. Ministry of Health. Pharmaceutical collection (2017). Publicly funded pharmaceutical dispensings between 1 January 2005 and 31 December 2016. Extraction date: 1 November 2017.

  28. Ministry of Health. Pharmaceutical collection (2020). Publicly funded pharmaceutical dispensings between 1 July 2012 and 31 December 2019 for a selected cohort. Extraction date: 10 March 2020.

  29. Merlo J, Wessling A, Melander A. Comparison of dose standard units for drug utilisation studies. Eur J Clin Pharmacol. 1996;50(1–2):27–30. https://doi.org/10.1007/s002280050064.

    Article  CAS  PubMed  Google Scholar 

  30. Statistics New Zealand. National population estimates: at 30 June 2021. https://www.stats.govt.nz/tools/stats-infoshare. Accessed 15 Mar 2022.

  31. Xu J, Hao Q, Qian R, Mu X, Dai M, Wu Y, et al. Optimal dose of serotonin reuptake inhibitors for obsessive-compulsive disorder in adults: a systematic review and dose-response meta-analysis. Front Psychiatry. 2021;12: 717999. https://doi.org/10.3389/fpsyt.2021.717999.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Bighelli I, Trespidi C, Castellazzi M, Cipriani A, Furukawa TA, Girlanda F, et al. Antidepressants and benzodiazepines for panic disorder in adults. Cochrane Database Syst Rev. 2016;9(9):CD011567. https://doi.org/10.1002/14651858.CD011567.pub2.

    Article  PubMed  Google Scholar 

  33. Patetsos E, Horjales-Araujo E. Treating chronic pain with SSRIs: what do we know? Pain Res Manag. 2016;2016:2020915. https://doi.org/10.1155/2016/2020915.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Crocco EA, Jaramillo S, Cruz-Ortiz C, Camfield K. Pharmacological management of anxiety disorders in the elderly. Curr Treat Options Psychiatry. 2017;4(1):33–46. https://doi.org/10.1007/s40501-017-0102-4.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Alexopoulos GS. Pharmacotherapy for late-life depression. J Clin Psychiatry. 2011;72(1): e04. https://doi.org/10.4088/JCP.7085tx2cj.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Cipriani A, Furukawa TA, Salanti G, Geddes JR, Higgins JP, Churchill R, et al. Comparative efficacy and acceptability of 12 new-generation antidepressants: a multiple-treatments meta-analysis. Lancet. 2009;373(9665):746–58. https://doi.org/10.1016/s0140-6736(09)60046-5.

    Article  CAS  PubMed  Google Scholar 

  37. Behlke LM, Lenze EJ, Pham V, Miller JP, Smith TW, Saade Y, et al. The effect of venlafaxine on electrocardiogram intervals during treatment for depression in older adults. J Clin Psychopharmacol. 2020;40(6):553–9. https://doi.org/10.1097/jcp.0000000000001287.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Scherf-Clavel M, Hommers L, Wurst C, Stonawski S, Deckert J, Domschke K, et al. Higher venlafaxine serum concentrations necessary for clinical improvement? Time to re-evaluate the therapeutic reference range of venlafaxine. J Psychopharmacol. 2020;34(10):1105–11. https://doi.org/10.1177/0269881120936509.

    Article  CAS  PubMed  Google Scholar 

  39. Michelsen JW, Meyer JM. Cardiovascular effects of antipsychotics. Expert Rev Neurother. 2007;7(7):829–39. https://doi.org/10.1586/14737175.7.7.829.

    Article  CAS  PubMed  Google Scholar 

  40. Newcomer JW. Second-generation (atypical) antipsychotics and metabolic effects: a comprehensive literature review. CNS Drugs. 2005;19(Suppl. 1):1–93. https://doi.org/10.2165/00023210-200519001-00001.

    Article  CAS  PubMed  Google Scholar 

  41. Jauhar S, Guloksuz S, Andlauer O, Lydall G, Marques JG, Mendonca L, et al. Choice of antipsychotic treatment by European psychiatry trainees: are decisions based on evidence? BMC Psychiatry. 2012;12:27. https://doi.org/10.1186/1471-244x-12-27.

    Article  PubMed  PubMed Central  Google Scholar 

  42. McKean A, Vella-Brincat J. Regional variation in antipsychotic and antidepressant dispensing in New Zealand. Australas Psychiatry. 2010;18(5):467. https://doi.org/10.3109/10398562.2010.502573.

    Article  PubMed  Google Scholar 

  43. Stargardt T, Edel MA, Ebert A, Busse R, Juckel G, Gericke CA. Effectiveness and cost of atypical versus typical antipsychotic treatment in a nationwide cohort of patients with schizophrenia in Germany. J Clin Psychopharmacol. 2012;32(5):602–7. https://doi.org/10.1097/JCP.0b013e318268ddc0.

    Article  PubMed  Google Scholar 

  44. Trifirò G, Spina E, Gambassi G. Use of antipsychotics in elderly patients with dementia: do atypical and conventional agents have a similar safety profile? Pharmacol Res. 2009;59(1):1–12. https://doi.org/10.1016/j.phrs.2008.09.017.

    Article  CAS  PubMed  Google Scholar 

  45. Hálfdánarson Ó, Zoëga H, Aagaard L, Bernardo M, Brandt L, Fusté AC, et al. International trends in antipsychotic use: a study in 16 countries, 2005–2014. Eur Neuropsychopharmacol. 2017;27(10):1064–76. https://doi.org/10.1016/j.euroneuro.2017.07.001.

    Article  CAS  PubMed  Google Scholar 

  46. Carton L, Cottencin O, Lapeyre-Mestre M, Geoffroy PA, Favre J, Simon N, et al. Off-label prescribing of antipsychotics in adults, children and elderly individuals: a systematic review of recent prescription trends. Curr Pharm Des. 2015;21(23):3280–97. https://doi.org/10.2174/1381612821666150619092903.

    Article  CAS  PubMed  Google Scholar 

  47. Bachmann CJ, Aagaard L, Bernardo M, Brandt L, Cartabia M, Clavenna A, et al. International trends in clozapine use: a study in 17 countries. Acta Psychiatr Scand. 2017;136(1):37–51. https://doi.org/10.1111/acps.12742.

    Article  CAS  PubMed  Google Scholar 

  48. Alexopoulos GS, Streim J, Carpenter D, Docherty JP. Using antipsychotic agents in older patients. J Clin Psychiatry. 2004;65(Suppl. 2):5–99 (discussion 100–2; quiz 3–4).

    PubMed  Google Scholar 

  49. Juergens S. Alprazolam and diazepam: addiction potential. J Subst Abuse Treat. 1991;8(1–2):43–51. https://doi.org/10.1016/0740-5472(91)90026-7.

    Article  CAS  PubMed  Google Scholar 

  50. Pharmaceutical Management Agency (PHARMAC). Available from: https://pharmac.govt.nz/assets/schedule-dispatch-2016-12.pdf. Accessed 14 Mar 2022.

  51. Clay E, Falissard B, Moore N, Toumi M. Contribution of prolonged-release melatonin and anti-benzodiazepine campaigns to the reduction of benzodiazepine and Z-drugs consumption in nine European countries. Eur J Clin Pharmacol. 2013;69(4):1–10. https://doi.org/10.1007/s00228-012-1424-1.

    Article  PubMed  Google Scholar 

  52. Gunja N. In the Zzz zone: the effects of Z-drugs on human performance and driving. J Med Toxicol. 2013;9(2):163–71. https://doi.org/10.1007/s13181-013-0294-y.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Nishtala PS, Chyou TY. Zopiclone use and risk of fractures in older people: population-based study. J Am Med Dir Assoc. 2017;18(4):368.e1-8. https://doi.org/10.1016/j.jamda.2016.12.085.

    Article  Google Scholar 

  54. Ancoli-Israel S. Sleep and its disorders in aging populations. Sleep Med. 2009;10(Suppl. 1):S7-11. https://doi.org/10.1016/j.sleep.2009.07.004.

    Article  PubMed  Google Scholar 

  55. Bjorvatn B, Meland E, Flo E, Mildestvedt T. High prevalence of insomnia and hypnotic use in patients visiting their general practitioner. Fam Pract. 2017;34(1):20–4. https://doi.org/10.1093/fampra/cmw107.

    Article  PubMed  Google Scholar 

  56. Louzada LL, Machado FV, Nóbrega OT, Camargos EF. Zopiclone to treat insomnia in older adults: a systematic review. Eur Neuropsychopharmacol. 2021;50:75–92. https://doi.org/10.1016/j.euroneuro.2021.04.013.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The authors thank the Analytical Services, Ministry of Health of New Zealand, for supplying the data extracted from the Pharms database.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Prasad S. Nishtala.

Ethics declarations

Funding

No funding was provided for the publication of this article.

Conflicts of interest/Competing interests

Prasad S. Nishtala and Te-yuan Chyou have no conflicts of interest that are directly relevant to the content of this article.

Ethics approval

This study was approved by the Human Ethics Committee of the University of Bath, UK (form number 7423).

Consent to participate

Not applicable.

Consent for publication

Not applicable.

Availability of data and material

The data are owned by the Analytical Services, Ministry of Health NZ, and hence we cannot share raw data for this study.

Code availability

Not applicable.

Authors’ contributions

Study concept and design: PSN; statistical analysis: PSN, TC; interpretation of data: PSN, TC; drafting of the manuscript: PSN; critical revision of the manuscript for important intellectual content: PSN, TC; study supervision: PSN. PSN and TC have read and approved the final submitted manuscript and agree to be accountable for the work.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nishtala, P.S., Chyou, Ty. An Updated Analysis of Psychotropic Medicine Utilisation in Older People in New Zealand from 2005 to 2019. Drugs Aging 39, 657–669 (2022). https://doi.org/10.1007/s40266-022-00965-8

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40266-022-00965-8

Navigation