After the peak incidence of Eprex-associated pure red-cell aplasia was reached in 2001, interventions designed in response to drug-monitoring programs worldwide resulted in a reduction of more than 80 percent in the incidence of pure red-cell aplasia due to Eprex.
We sought to summarize and assess original evaluations of the economic impact of clinical pharmacy services published from 1996–2000, and to provide recommendations and methodologic considerations for future research. A systematic literature search was conducted to identify articles that were then blinded and randomly assigned to reviewers who confirmed inclusion and abstracted key information. Results were compared with those of a similar review of literature published from 1988–1995. In the 59 included articles, the studies were conducted across a variety of practice sites that consisted of hospitals (52%), community pharmacies and clinics (41%), health maintenance organizations (3%), and long‐term or intermediate care facilities (3%). They focused on a broad range of clinical pharmacy services such as general pharmacotherapeutic monitoring (47%), target drug programs (20%), disease management programs (10%), and patient education or cognitive services (10%). Compared with the studies of the previous review, a greater proportion of evaluations were conducted in community pharmacies or clinics, and the types of services evaluated tended to be more comprehensive rather than specialized. Articles were categorized by type of evaluation: 36% were considered outcome analyses, 24% full economic analyses, 17% outcome descriptions, 15% cost and outcome descriptions, and 8% cost analyses. Compared with the studies of the previous review, a greater proportion of studies in the current review used more rigorous study designs. Most studies reported positive financial benefits of the clinical pharmacy service evaluated. In 16 studies, a benefit:cost ratio was reported by the authors or was able to be calculated by the reviewers (these ranged from 1.7:1–17.0:1, median 4.68:1). The body of literature from this 5‐year period provides continued evidence of the economic benefit of clinical pharmacy services. Although the quality of study design has improved, whenever possible, future evaluations of this type should incorporate methodologies that will further enhance the strength of evidence of this literature and the conclusions that may be drawn from it.
Comparative effectiveness research includes cohort studies and registries of interventions. When investigators design such studies, how important is it to follow patients from the day they initiated treatment with the study interventions? Our article considers this question and related issues to start a dialogue on the value of the incident user design in comparative effectiveness research. By incident user design, we mean a study that sets the cohort's inception date according to patients' new use of an intervention. In contrast, most epidemiologic studies enroll patients who were currently or recently using an intervention when follow-up began. We take the incident user design as a reasonable default strategy because it reduces biases that can impact non-randomized studies, especially when investigators use healthcare databases. We review case studies where investigators have explored the consequences of designing a cohort study by restricting to incident users, but most of the discussion has been informed by expert opinion, not by systematic evidence.
The objectives of this review were to summarize and evaluate studies that measured the economic impact of clinical pharmacy services published between 2001 and 2005 (inclusive) and to provide guidance on methodologic considerations to individuals performing such research in the future. A systematic literature search using the MEDLINE and International Pharmaceutical Abstracts databases was conducted to identify published economic evaluations of clinical pharmacy services. Studies were screened and then randomly assigned to reviewers, who reassessed inclusion and exclusion criteria and abstracted prespecified data from each study. Among the many characteristics examined in each study were study design and type of economic evaluation, setting and type of clinical pharmacy service, study quality, and results. Ninety-three articles were included in the final analysis. These studies were published in 43 different journals, most of which (68 [73.1%]) were pharmacy-based. Most studies were performed in hospitals (40 [43.0%]), ambulatory care clinics or physician's offices (20 [21.5%]), or community pharmacies (16 [17.2%]). The most common types of clinical pharmacy services evaluated were general pharmacotherapeutic monitoring services (32 [34.4%]), target drug programs (27 [29%]), and disease state-management services (21 [22.6%]). Full economic evaluations were performed in just less than half (45 [48.4%]) of the studies, and a positive economic benefit associated with clinical pharmacy services was noted in 31 (69%) of the 45 studies. Among 15 studies reporting data necessary to determine a benefit:cost ratio, the pooled median value was 4.81:1-meaning that for every $1 invested in clinical pharmacy services, $4.81 was achieved in reduced costs or other economic benefits. The quality of studies varied widely, with less than one half considered to be good to fair (40 [43.0%]); however, the proportion of studies using appropriate study designs increased compared with previous reviews. Based on the evidence examined in this review, clinical pharmacy services continue to provide a significant return on investment, but improvements are still needed in the methods used to evaluate the economic impact of these services.
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Teams are an integral component of quality improvement efforts in healthcare organizations. Quality improvement teams may involve persons either from the same or different disciplines. In either case, the selection of team members may be critical to the team's success. However, there is little research to guide selection of team members for quality improvement teams. In this paper, we use tools from social network analysis (SNA) to derive principles for the design of effective clinical quality improvement teams and explore the implementation of these principles using social network data collected from the inpatient general medicine services at a large academic medical center in Chicago, USA. While the concept of multidisciplinary teams focuses on the importance of the professional background of team members, SNA emphasizes the importance of the individual and collective connections of team members, both to persons outside the team and to each other. SNA also focuses on the location of individuals and groups between other actors in the flow of information and other resources within larger organizational networks. We hypothesize that external connections may be most important when the collection or dissemination of information or influence are the greatest concerns, while the relationship of team members to each other may matter most when internal coordination, knowledge sharing, and within-group communication are most important.
Algorithms based on ICD-9-CM codes will undercount hospitalizations for AE-COPD, and as many as one in five patients identified by these algorithms may be misidentified as having a COPD exacerbation. These findings suggest that relying on ICD-9-CM codes alone to identify patients hospitalized for AE-COPD may be problematic.
Those who seek to implement programs to alter medication use should recognize and employ factors that are most influential in the decision-making process. Further, it may be important to consider differences that exist between key participants in the medication use process.
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