Development of a quality use of medicines coding system to rate clinical pharmacists' medication review recommendations

Objective: To develop a 'quality use of medicines' coding system for the assessment of pharmacists' medication reviews and to apply it to an appropriate cohort. Method: A 'quality use of medicines' coding system was developed based on findings in the literature. These codes were then applied to 216 (111 intervention, 105 control) veterans' medication profiles by an independent clinical pharmacist who was supported by a clinical pharmacologist with the aim to assess the appropriateness of pharmacy interventions. The profiles were provided for veterans participating in a randomised, controlled trial in private hospitals evaluating the effect of medication review and discharge counselling. The reliability of the coding was tested by two independent clinical pharmacists in a random sample of 23 veterans from the study population. Main outcome measure: Interrater reliability was assessed by applying Cohen's kappa score on aggregated codes. Results: The coding system based on the literature consisted of 19 codes. The results from the three clinical pharmacists suggested that the original coding system had two major problems: (a) a lack of discrimination for certain recommendations e. g. adverse drug reactions, toxicity and mortality may be seen as variations in degree of a single effect and (b) certain codes e. g. essential therapy were in low prevalence. The interrater reliability for an aggregation of all codes into positive, negative and clinically non-significant codes ranged from 0.49-0.58 (good to fair). The interrater reliability increased to 0.72-0.79 (excellent) when all negative codes were excluded. Analysis of the sample of 216 profiles showed that the most prevalent recommendations from the clinical pharmacists were a positive impact in reducing adverse responses (31.9%), an improvement in good clinical pharmacy practice (25.5%) and a positive impact in reducing drug toxicity (11.1%). Most medications were assigned the clinically non-significant code (96.6%). In fact, the interventions led to a statistically significant difference in pharmacist recommendations in the categories; adverse response, toxicity and good clinical pharmacy practice measured by the quality use of medicine coding system. Conclusion: It was possible to use the quality use of medicine coding system to rate the quality and potential health impact of pharmacists' medication reviews, and the system did pick up differences between intervention and control patients. The interrater reliability for the summarised coding system was fair, but a larger sample of medication regimens is needed to assess the non-summarised quality use of medicines coding system.

Toward better outcomes with tacrolimus therapy: Population pharmacokinetics and individualized dosage prediction in adult liver transplantation

Patient outcomes in transplantation would improve if dosing of immunosuppressive agents was individualized. The aim of this study is to develop a population pharmacokinetic model of tacrolimus in adult liver transplant recipients and test this model in individualizing therapy. Population analysis was performed on data from 68 patients. Estimates were sought for apparent clearance (CL/F) and apparent volume of distribution (V/F) using the nonlinear mixed effects model program (NONMEM). Factors screened for influence on these parameters were weight, age, sex, transplant type, biliary reconstructive procedure, postoperative day, days of therapy, liver function test results, creatinine clearance, hematocrit, corticosteroid dose, and interacting drugs. The predictive performance of the developed model was evaluated through Bayesian forecasting in an independent cohort of 36 patients. No linear correlation existed between tacrolimus dosage and trough concentration (r(2) = 0.005). Mean individual Bayesian estimates for CL/F and V/F were 26.5 8.2 (SD) L/hr and 399 +/- 185 L, respectively. CL/F was greater in patients with normal liver function. V/F increased with patient weight. CL/F decreased with increasing hematocrit. Based on the derived model, a 70-kg patient with an aspartate aminotransferase (AST) level less than 70 U/L would require a tacrolimus dose of 4.7 mg twice daily to achieve a steady-state trough concentration of 10 ng/mL. A 50-kg patient with an AST level greater than 70 U/L would require a dose of 2.6 mg. Marked interindividual variability (43% to 93%) and residual random error (3.3 ng/mL) were observed. Predictions made using the final model were reasonably nonbiased (0.56 ng/mL), but imprecise (4.8 ng/mL). Pharmacokinetic information obtained will assist in tacrolimus dosing; however, further investigation into reasons for the pharmacokinetic variability of tacrolimus is required.

Asthma management by New Zealand pharmacists: a pharmaceutical care demonstration project

Background: Pharmaceutical care services became recognized in New Zealand in the mid-1990s, albeit with limited evidence of the acceptability and effectiveness of the model. An asthma-specific pharmaceutical care service was trialled in southern New Zealand, based on a 'problem-action-outcome' method, with pharmacists adopting a patient-centred, outcome-focused approach with multidisciplinary consultation. Objective: To report on the implementation and outcomes of a specialist asthma service offered by community pharmacists. Design: Pharmacists in five pharmacies, servicing predominantly rural, established clientele, received training in the asthma service and research documentation. Ten patients per pharmacy were recruited in each year (years 1 and 2) of the study. The patients were entered into the study in cohorts of five per pharmacy twice yearly, with year 2 mirroring year 1. The phase-in design minimized the impact on the pharmacists. The patients acted as their own controls. All patients received individualized care and had approximately monthly consultations with the pharmacist, with clinical and quality of life (QoL) monitoring. Results: A total of 100 patients were recruited. On average, 4.3 medication-related problems were identified per patient; two-thirds of them were compliance-related. The most common interventions were revision of patients' asthma action plans, referral and medication counselling. Clinical outcomes included reduced bronchodilator use and improved symptom control in around two-thirds of patients. Asthma-specific QoL changes were more positive and correlated well with clinical indicators. Conclusion: Further research is warranted to integrate this service into daily practice. Clinical outcomes were generally positive and supported by QoL indicators. Characteristics of New Zealand practice and this sample of pharmacies may limit the generalizability of these findings.

A randomized controlled trial of a nurse-administered educational intervention for improving cancer pain management in ambulatory settings

The persistence of negative attitudes towards cancer pain and its treatment suggests there is scope for identifying more effective pain education strategies. This randomized controlled trial involving 189 ambulatory cancer patients evaluated an educational intervention that aimed to optimize patients' ability to manage pain. One week post-intervention, patients receiving the pain management intervention (PMI) had a significantly greater increase in self-reported pain knowledge, perceived control over pain, and number of pain treatments recommended. Intervention group patients also demonstrated a greater reduction in willingness to tolerate pain, concerns about addiction and side effects, being a "good" patient, and tolerance to pain relieving medication. The results suggest that targeted educational interventions that utilize individualized instructional techniques may alter cancer patient attitudes, which can potentially act as barriers to effective pain management. (C) 2003 Elsevier Ireland Ltd. All rights reserved.

Factors influencing PRN medication use in nursing homes

Objective: To identify determinants of PRN ( as needed) drug use in nursing homes. Decisions about the use of these medications are made expressly by nursing home staff when general medical practitioners (GPs) prescribe medications for PRN use. Method: Cross-sectional drug use data were collected during a 7-day window from 13 Australian nursing homes. Information was collected on the size, staffing-mix, number of visiting GPs, number of medication rounds, and mortality rates in each nursing home. Resident specific measures collected included age, gender, length of stay, recent hospitalisation and care needs. Main outcome measures: The number of PRN orders prescribed per resident and the number of PRN doses given per week averaged over the number of PRN medications given at all in the seven-day period. Results: Approximately 35% of medications were prescribed for PRN use. Higher PRN use was found for residents with the lower care needs, recent hospitalisation and more frequent doses of regularly scheduled medications. With increasing length of stay, PRN medication orders initially increased then declined but the number of doses given declined from admission. While some resident-specific characteristics did influence PRN drug use, the key determinant for PRN medication orders was the specific nursing home in which a resident lived. Resident age and gender were not determinants of PRN drug use. Conclusion: The determinants of PRN drug use suggest that interventions to optimize PRN medications should target the care of individual residents, prescribing and the nursing home processes and policies that govern PRN drug use.

Medication management reviews for people from the former Yugoslavia now resident in Australia

Aim: The objective of this prospective study was to conduct medication management reviews (MMR) in people from a non-English speaking background (NESB) (Bosnian/Serbian/ Croatian, from former Yugoslavia, currently residing in Australia) in their native language in order to identify medication-related problems (needs analysis) and implement appropriate therapeutic interventions, in collaboration with their general practitioners (GPs). Methods: Twenty-five participants entered the study. Each was interviewed and medication-related issues were identified by the health care team. Results: Various interventions (over 150 for the whole group, an average of 6 per participant), based on actual and potentia medication-related problems, were designed to improve the use of medicines. The MMRs introduced effective changes into the participants' health care. Psychological (e.g., feeling depressed) and sociological factors (e.g., costs of medicines, not understanding labels written in English) were identified having significant impacts on medication management. Conclusions: These data confirmed there are avoidable medication-related problems in people from a NESB. GPs and pharmacists working in health care teams with a trained interpreter could greatly improve medication use through regular review and a team approach to problem identification and solving.

Medication management at home: medication-related risk factors associated with poor health outcomes

Background: some patients may have medication-related risk factors only identified by home visits, but the extent to which those risk factors are associated with poor health outcomes remains unclear. Objective: to determine the association between medication-related risk factors and poor patient health outcomes from observations in the patients' homes. Design: cross-sectional study. Setting: patients' homes. Subjects: 204 general practice patients living in their own homes and at risk of medication-related poor health outcomes. Methods: medications and medication-related risk factors were identified in the patients' homes by community pharmacists and general practitioners (GPs). The medication-related risk factors were examined as determinants of patients' self-reported health related quality of life (SF-36) and their medication use, as well as physicians' impression of patient adverse drug events and health status. Results: key medication-related risk factors associated with poor health outcomes included: Lack of any medication administration routine, therapeutic duplication, hoarding, confusion between generic and trade names, multiple prescribers, discontinued medication repeats retained and multiple storage locations. Older age and female gender were associated with some poorer health outcomes. In addition, expired medication and poor adherence were also associated with poor health outcomes, however, not independently. Conclusion: the findings support the theory that polypharmacy and medication-related risk factors as a result of polypharmacy are correlated to poor health outcomes.

Single patient (n-of-1) trials with binary treatment preference

The use of a fully parametric Bayesian method for analysing single patient trials based on the notion of treatment 'preference' is described. This Bayesian hierarchical modelling approach allows for full parameter uncertainty, use of prior information and the modelling of individual and patient sub-group structures. It provides updated probabilistic results for individual patients, and groups of patients with the same medical condition, as they are sequentially enrolled into individualized trials using the same medication alternatives. Two clinically interpretable criteria for determining a patient's response are detailed and illustrated using data from a previously published paper under two different prior information scenarios. Copyright (C) 2005 John Wiley & Sons, Ltd.