We therefore decided to examine the risk of bias qualitatively

We therefore decided to examine the risk of bias qualitatively

grouped under the main headings of information bias and selection bias, and ascribed “low risk” when we noted little evidence of potential bias, and “high risk” when we noted some evidence of potential bias. Further work to provide better quality assessment tools for healthcare interventions is needed. Although our findings suggest that community pharmacist interventions may help to improve the identification of individuals MI-503 mouse at risk for osteoporosis through improved DXA testing, further study is important to determine the feasibility of interventions in community pharmacies. We note that the two trials with positive findings were completed in: (1) a network of pharmacies that had pharmacists with advanced training and experience check details in research participation [35] and (2) community pharmacies within the same pharmacy chain [36]. In addition, the one other RCT included in our review had excluded pharmacies deemed to have too few staff or insufficient space [34]. Therefore, the generalizability and feasibility to other settings

need to be explored. We also note that none of the studies examined the impact of the pharmacist interventions on osteoporosis treatment adherence or considered pharmacists’ experience or satisfaction with the osteoporosis management programs. Recent reviews of the literature identify that strategies that enhance patient and healthcare provider communication and treatment follow-up may be key to improving adherence to osteoporosis pharmacotherapy [5, 47, 48]. Further study is thus important to identify the impact of pharmacy interventions on treatment initiation and adherence to therapy, as well as to examine the feasibility of osteoporosis management in community pharmacy. Interventions in osteoporosis management by physicians,

physiotherapists, nurses, dieticians, and other healthcare professionals working in teams have helped to improve treatment adherence and calcium intake among community-dwelling women [5] and increase BMD testing and osteoporosis treatment rates in patients post-fracture [4]. Conclusions Pharmacists are in a unique position to help reduce the burden of osteoporosis by improving MTMR9 the identification of high-risk patients for treatment, especially those on corticosteroid therapy. Results from our review suggest that pharmacist identification and counseling of patients at risk for osteoporosis results in higher DXA testing and improvements in calcium intake. Further high-quality evidence is needed to determine the feasibility of osteoporosis management in pharmacy practice settings, to examine the comparative effectiveness of different pharmacy intervention strategies, and to address the impact of pharmacist interventions on osteoporosis treatment adherence.

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