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Inhaler use in chronic obstructive pulmonary disease patients: a meta-analysis†

Frontiers of Nursing
Volume 9 (2022): Issue 4 (December 2022)
By:
Open Access
|Dec 2022

Figures & Tables

Figure 1.

Literature search and selection.
Literature search and selection.

Figure 2.

Results of risk bias evaluation of randomized controlled studies.
Results of risk bias evaluation of randomized controlled studies.

Figure 3.

Forest plots of error rates for at least 1 inhaler.
Forest plots of error rates for at least 1 inhaler.

Figure 4.

A cross-sectional forest map of the error rates of different inhalants.
A cross-sectional forest map of the error rates of different inhalants.

Figure 5.

Forest plot of error rates for use. Abbreviation: DPI, dry powder inhaler.
Forest plot of error rates for use. Abbreviation: DPI, dry powder inhaler.

Figure 6.

Forest plot of error rates for quantified inhaler use.
Forest plot of error rates for quantified inhaler use.

Figure 7.

Forest plot of errors in SMI use. Abbreviation: SMI, soft mist inhalers.
Forest plot of errors in SMI use. Abbreviation: SMI, soft mist inhalers.

Figure 8.

Funnel plot of at least 1 inhaler error made.
Funnel plot of at least 1 inhaler error made.

Results of the JBI cross-sectional survey bias risk assessment_

Inclusion in the studyRationale for the titlePopulation selectionExclusion criteriaSample characteristicsInstrument reliability and validity testsVeracityEthical principlesStatistical methods StudyStudy resultsStudy valueTotal score
Ngo et al.21②①②①①②②②②②17
Bournival et al.22②①①①NA②①②②②14
Al Ammari et al.23②①①①NA②②②②②15
Castel-Branco et al.24②①①①NA②②②②②15
Pothirat et al.8②①①①NA②②②②②15
Ding et al.25②①①①NA②NA②②②13
Press et al.26②①①①①②②②②②16

Results of risk of bias evaluation of the included literature by NOS score_

Inclusion of studiesStudy population selectionComparability of resultsEvaluation of outcomes
Loukil et al.16*******
Gillissen et al.17********
Lin et al.18******
Li et al.19*******
Takaku et al.20*******

Clinical characteristics of included trials_

Inclusion of studiesType of studyCountryPercentage of women (%)Age (years) mean (+SD/range)Total number of people (n)Type of inhaler used
Loukil et al16CohortSpanish48.247.4 ± 16.354DPI
Gillissen et al.17CohortGermany44.665.6 ± 11.61236DPI
Lin et al18CohortChina36.867 ± 15136DPI, MDI
Li et al.19CohortChina33.164 (47–81)384DPI
Takaku et al.20CohortJapan9.072 ± 781MDI, DPI
Ngo et al21Cross-sectionalVietnam7.068.6 ± 8.770MDI, DPI, SMI
Bournival et al.22Cross-sectionalCanada49.069.8 ± 8.398DPI, SMI
Al Ammari et al.23Cross-sectionalSaudi Arabia48.958.4 ± 17.940MDI
Castel-Branco et al.24Cross-SectionalPortugal49.365.4 ± 18.3895DPI, MDI, SMI
Pothirat et al.8Cross-sectionalThailand35.971.2 ± 9.2103DPI, MDI, SMI
Ding et al.25Cross-sectionalAmerica48.0Men: 59.8 ± 10.2; Women: 60.7 ± 7.861MDI, SMI
Press et al.26Cross-SectionalAmerica58.659.229MDI
Oliveira et al.27RCTBrazil44.063.5 ± 8.2140DPI, SMI
DOI: https://doi.org/10.2478/fon-2022-0044 | Journal eISSN: 2544-8994 | Journal ISSN: 2097-5368
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Language: English
Page range: 343 - 352
Submitted on: Apr 3, 2022
Accepted on: Aug 31, 2022
Published on: Dec 31, 2022
Published by: Shanxi Medical Periodical Press
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
chronic obstructive pulmonary disease,
inhaler handling errors,
inhaler technique,
medications,
meta-analysis
Related subjects:
Medicine,
Assistive professions, nursing

© 2022 Li-Juan Zhou, Xian-Xiu Wen, Rong Jiang, Huang-Yuan Zhou, Yan Li, Xiao-Rang Mao, Mei Lan, published by Shanxi Medical Periodical Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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