From: Automated dose dispensing service for primary healthcare patients: a systematic review
Reference, country, and study design | Aim of the study | Description of automated dose dispensing (ADD) according to article’s texta | Population and data collection | Outcome measures | Outcome specification and main results |
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Controlled studies | |||||
Sjöberg et al.[15], 2012, Sweden | To compare changes in drug treatments within and outside ADD | Level 2 | 154 community-dwelling or nursing home residents ≥65 years of age (patients using ADD n = 107, not using ADD n = 47). Data on drug treatments were extracted from the medical records (t = 0 months) and from the SPDR (t = 6 months). A multi-level analysis was performed, with drugs at the first level and individuals at the second. | Number of changed (withdrawn, dosage adjusted, or newly prescribed) and not changed drugs. | Appropriateness of medication use |
Controlled register study | The risk of medication to be classified as unchanged was higher among ADD users (OR 1.66, 95% CI 1.20-2.31, adjusted for age, sex, cognition, year of data collection, subgroup of drug). | ||||
Sjöberg et al.[16], 2011, Sweden | To investigate association between ADD and quality of drug treatment | Level 3 | All community-dwelling or nursing home residents from Västra Götaland ≥65 years of age in late 2007 and having ≥2 health care visits and ≥2 diagnosis in 2005–2007. Study group: ADD users (n = 4927). Control group: patients not using ADD (n = 19 219). Data were collected from the SPDR in 2007 linked with register data on patient diagnoses and residence. | Five quality indicators for potential IDU: | Appropriateness of medication use |
Controlled cross-sectional register study | 1. Use of ≥10 drugs | ADD users had a higher prevalence of all indicators of potential IDU (5.9-55.1%) than the control population (2.6-4.9%) (P <0.0001). After adjustment for age, sex, burden of disease, and residence, risk of all indicators of potential IDU were higher among ADD users (ORs 1.36-5.48; 95% CI 1.18-6.30). | |||
2. Use of long-acting benzodiazepines | |||||
3. Use of anticholinergic drugs | |||||
4. Use of ≥3 psychotropic drugs | |||||
5. Potential DDIs | |||||
Wekre et al.[17], 2010, Norway | Impact of ADD on inconsistencies in medication records between GPs and home care services | Level 3 | A convenience sample of 59 patients. Medication records were collected 0.5 years before and 1 year after the ADD implementation. | Number of discrepancies between the patients’ medication records at the GPs and at the home care services | Medication safety |
ADD did not change the number of medication records with discrepancies (before 47 and after 45 out of 59, P = 0.774, n.s.), but reduced total number of discrepancies by 34% (P < 0.001). | |||||
Controlled before-after study | |||||
Johnell and Fastbom[18], 2008, Sweden | Whether the use of ADD is associated with potential IDU | Level 2 | All Swedes ≥75 years of age who were registered in SPDR. Study group: ADD users (n = 122 413). Control group: patients not using ADD (n = 608, 692). Data were collected from the SPDR in 2005. | Four quality indicators for potential IDU: | Appropriateness of medication use |
ADD users had a higher prevalence of all indicators of potential IDU (8.8-22.1%) than the control population (2.4-4.9%). | |||||
Controlled cross-sectional register study | 1. use of long-acting benzodiazepines | ||||
2. use of anticholinergic drugs | After adjustment for age and number of dispensed drugs, risk of using any IDU, anticholinergic drugs and ≥3 psychotropic drugs were higher among ADD users (ORs 1.43-4.93; 95% CI 1.40-5.17). Contrasting relationship prevailed for long-acting benzodiazepines among women and potentially serious DDIs among women and men (ORs 0.69-0.80; 95% CI 0.66-0.83). | ||||
3. use of ≥3 psychotropic drugs | |||||
4. potential DDIs | |||||
Uncontrolled studies | |||||
Olsson et al.[19], 2010, Sweden | Extent and quality of drug prescribing in younger elderly (65–79 years) and older elderly (≥80 years) receiving ADD | ADD is mentioned but no description is given. | All residents of nursing homes and dementia special care units ≥65 years of age (n = 3705) from the County of Jönköping. Data on prescribed drugs were collected from the national pharmacy drug register. | Five quality indicators for potential IDU: | Appropriateness of medication use |
Cross-sectional register study | 1. Use of long-acting benzodiazepines | Influence of ADD on potential IDU not studied. Potential IDU prevalences ranged from 7.6% to 41.2%. Prevalences of potential IDU were mainly higher among younger (65–79 years) than older (≥80 years) residents (not statistically tested). | |||
2. Use of anticholinergic drugs | |||||
3. drug duplications | |||||
4. Use of ≥3 psychotropic drugs | |||||
5. Potential DDIs | |||||
van den Bemt et al.[20], 2009, the Netherlands | Frequency of medication administration errors and potential risk factors for these errors in nursing homes using ADD | Level 2 | In all, 2025 administrations to 127 residents of three nursing homes were observed by one pharmacy technician. | Medication administration error rates | Medication safety |
Administration error rate for all administered medications observed (via ADD and without ADD) was 21.2% (n = 428 errors). Most common error type was wrong administration technique (n = 312). The risk for administration errors was higher when medicine was not supplied by ADD (OR 2.92; 95% CI 2.04-4.18). | |||||
Prospective observational study | |||||
Bergman et al.[21], 2007, Sweden | Quality of drug therapy among nursing home residents using ADD | Level 1 | All nursing home residents ≥65 years of age (n = 7904) from Gothenburg area. Data were collected from the Swedish national drug register for ADD users. | Five quality indicators for potential IDU: | Appropriateness of medication use |
Cross-sectional register study | 1. use of long-acting benzodiazepines | Influence of ADD on potential IDU not studied. Potential IDU prevalences ranged from 12.1% to 45.2%. The proportion of potential IDU was higher among 65–79 year-old residents than those ≥80 years old (P 0.001-0.015). | |||
2. Use of anticholinergic drugs | |||||
3. Drug duplications | |||||
4. Use of ≥3 psychotropic drugs | |||||
5. Potential DDIs |