Computer-assisted medication review for asthmatic patients as a basis for intervention Constructing and validating an algorithmic computer instrument in pharmacy practice

Stuurman-Bieze, Ada G. G.; Berg, Paul B. van den; Tromp, T.F.J.; Berg, Lolkje Theodora Wilhelmina de Jong-van den

doi:10.1023/b:phar.0000042926.99705.61

Cited by 9 publications

(6 citation statements)

References 14 publications

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“…The manual search for additional articles publishing results from the same study resulted in an additional 18 articles belonging to 10 of the included studies. [61][62][63][64][65][66][67][68][69][70][71][72][73][74][75][76][77] For the other 22 included studies, no additional publications were found. Additional papers were most commonly process evaluation papers (n = 5), followed by protocol papers (n = 3) and pilot or pre-studies (n = 3).…”

Section: Additional Data Collection By Manual Search and Questionnair...mentioning

confidence: 99%

Scalability of effective adherence interventions for patients using cardiovascular disease medication: A realist synthesis‐inspired systematic review

Hogervorst

Vervloet

Adriaanse

et al. 2022

Brit J Clinical Pharma

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Upscaling of medication adherence interventions to routine care is still challenging. This realist theory-inspired review aimed to assess which intervention aspects are potentially important for the scalability of effective cardiovascular disease (CVD) medication adherence interventions and how they are reported in effectiveness studies. A total of 4097 articles from four databases were screened of which ultimately 31 studies were included. Relevant information on scalability was extracted using a theoretic framework based on the scalability assessment tool used in the QUALIDEC study for the following domains: (i) innovation, (ii) implementers and patients, (iii) adopting organizations and health system, and (iv) socio-political context. Extracted articles were analysed for themes and chains of inference, which were grouped based on commonality and source of evidence to form new hypotheses. Six different domains relevant for scalability of adherence interventions were identified: (1) Complexity of the intervention; (2) training; (3) customization of the intervention; (4) drivers of the intervention; (5) technical interventions; and (6) stakeholder involvement. These six domains might be useful for the development of more scalable interventions by bridging the gap between research and practice. Data relevant for scalability is not well reported on in effectiveness trials for CVD medication adherence interventions and only limited data on scalability has been published in additional papers. We believe the adoption and reach of effective CVD medication adherence interventions will improve with increased awareness for the necessity of scalability in all phases of intervention development.

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Section: Additional Data Collection By Manual Search and Questionnair...mentioning

confidence: 99%

Scalability of effective adherence interventions for patients using cardiovascular disease medication: A realist synthesis‐inspired systematic review

Hogervorst

Vervloet

Adriaanse

et al. 2022

Brit J Clinical Pharma

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“…It was a major problem that it was impossible to classify asthma severity accurately based on average daily doses of inhaled β 2 ‐agonists measured in dispensing data (Pont et al 2004). Another study evaluating computer algorithms for detecting suboptimally treated asthma patients in dispensing data (including underuse of inhaled corticosteroids), concluded that these algorithms could be useful for screening purposes (Stuurman‐Bieze et al 2004).…”

Section: Examples Of Indicator Validity Studiesmentioning

confidence: 99%

Is it Possible to Measure Prescribing Quality using only Prescription Data?

Andersen

2006

Basic Clin Pharma Tox

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A large number of prescribing quality indicators based on register data have been proposed and many are used routinely in quality management. Often the content and face validity of indicators have been assessed by consensus methods, but studies analysing other validity aspects are scarce. Prescription data are frequently used for indicators, but they do not provide any direct information about disease and patient factors important for judging the quality of prescribing. If register-based proxies for diagnoses, disease severity or risk factors are employed, validation is essential. The concurrent validity of indicators should be assessed by comparing to a ''gold standard'' quality assessment at the patient level using all available clinical information. The validity of frequently used quality indicators of asthma treatment has been questioned and should be further investigated. NSAID prescribing indicators are currently under evaluation. In the future, detailed clinical information from practice databases and computerised hospital records will be an important data source for indicators and for validation studies. Furthermore, the statistical and epidemiological properties of prescribing quality indicators need more attention.

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“…12 In 2004, a new research project, based on pharmaceutical care in the case of deviant medication profiles in asthma, was completed and published in Groningen with positive results. 13 In addition, counseling in ethnic minorities is also being studied. 14…”

Section: Community Pharmacy Researchmentioning

confidence: 99%

Pharmaceutical Care in Community Pharmacy: Practice and Research in the Netherlands

Mil¹

2005

Ann Pharmacother

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Computer-assisted medication review for asthmatic patients as a basis for intervention Constructing and validating an algorithmic computer instrument in pharmacy practice

Cited by 9 publications

References 14 publications

Scalability of effective adherence interventions for patients using cardiovascular disease medication: A realist synthesis‐inspired systematic review

Scalability of effective adherence interventions for patients using cardiovascular disease medication: A realist synthesis‐inspired systematic review

Is it Possible to Measure Prescribing Quality using only Prescription Data?

Pharmaceutical Care in Community Pharmacy: Practice and Research in the Netherlands

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