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1.
BJGP Open ; 5(4)2021 Aug.
Article in English | MEDLINE | ID: mdl-34045292

ABSTRACT

BACKGROUND: Epidemiological studies focused on primary healthcare needs of persons experiencing homelessness (PEH) are often based on data from specialist homeless healthcare services. AIM: To explore the presentation of PEH, coding of homelessness, and associated health conditions in mainstream primary care general practices in England. DESIGN & SETTING: EMIS electronic database search of medical records was conducted across 48 general practices in a clinical commissioning group (CCG), representing one of the most socioeconomically deprived regions in England, which also lacks a specialist primary healthcare service for PEH. METHOD: Key terms and codes were used to identify PEH, their respective diagnoses across 22 health conditions, and prescribed medications over the past 4 years. RESULTS: From a population of approximately 321 000, 43 (0.013%) people were coded as PEH, compared with a homelessness prevalence of 0.5% in the English general population. Mental health conditions were the most prevalent diagnoses among the PEH registrants (56.6%); the recorded prevalence of other common long-term conditions in PEH was lower than the levels observed in PEH registered with specialist homelessness health services. CONCLUSION: In a population with approximately four times higher rate of statutory homelessness, PEH representation in mainstream general practices was under-represented by several folds. As homelessness overlaps with mental health, substance misuse, and long-term health conditions, consistent coding of homelessness in medical records is imperative in order to offer tailored support and prevention actions when patients present for services.

2.
Br J Clin Pharmacol ; 86(1): 29-38, 2020 01.
Article in English | MEDLINE | ID: mdl-31777082

ABSTRACT

AIMS: To conduct a systematic review and meta-analysis of the effectiveness of general practice-based pharmacist interventions in reducing the medical risk factors for the primary prevention of cardiovascular events. METHODS: A systemic search was undertaken in 8 databases: PubMed, MEDLINE, EMBAS, PsycINFO, Cochrane Library, CINAHL Plus, SCOPUS and Science Citation Index, with no start date up to 27 March 2019. Randomised controlled trials assessing the effectiveness of pharmacist-led interventions delivered in the general practice in reducing the medical risk factors of cardiovascular events were included in the review. The risk of bias in the studies was assessed using the Cochrane risk of bias tool. RESULTS: A total of 1604 studies were identified, with 21 randomised controlled trials (8933 patients) meeting the inclusion criteria. Fourteen studies were conducted in patients with diabetes, 7 in hypertension, 2 involving dyslipidaemia, and 2 with hypertension and diabetes together. The most frequently used interventions were medication review and medication management. The quality of the included studies was variable. Patients receiving pharmacist-led interventions were associated with a statistically significant reduction in their systolic blood pressure (-9.33 mmHg [95% Confidence Interval (CI) -13.36 to -5.30]), haemoglobin A1C (-0.76% [95% CI -1.15 to -0.37]) and low-density lipoprotein-cholesterol (-15.19 mg/dL [95% CI -24.05 to -6.33]). Moreover, practice-based pharmacists' interventions were also reported to have a positive impact on patient adherence to medications. CONCLUSION: The findings of this review suggest that pharmacist-led interventions in general practice can significantly reduce the medical risk factors of cardiovascular disease events. These findings support the involvement of pharmacists as healthcare providers in managing patients with hypertension, diabetes and dyslipidaemia.


Subject(s)
Cardiovascular Diseases , General Practice , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/prevention & control , Heart Disease Risk Factors , Humans , Pharmacists , Primary Prevention , Randomized Controlled Trials as Topic , Risk Factors
3.
Int J Pharm Pract ; 26(6): 501-506, 2018 Dec.
Article in English | MEDLINE | ID: mdl-29280513

ABSTRACT

OBJECTIVES: This aim of this research was to characterise the breadth and volume of activity conducted by clinical pharmacists in general practice in Dudley Clinical Commissioning Group (CCG), and to provide quantitative estimates of both the savings in general practitioner (GP) time and the financial savings attributable to such activity. METHODS: This descriptive observational study retrospectively analysed quantitative data collected by Dudley CCG concerning the activity of clinical pharmacists in GP practices during 2015. KEY FINDINGS: Over the 9-month period for which data were available, the 5.4 whole time equivalent clinical pharmacists operating in GP practices within Dudley CCG identified 23 172 interventions. Ninety-five per cent of the interventions identified were completed within the study period saving the CCG in excess of £1 000 000. During the 4 months for which resource allocation data were available, the clinical pharmacists saved 628 GP appointments plus an additional 647 h that GPs currently devote to medication review and the management of repeat prescribing. CONCLUSIONS: This research suggests that clinical pharmacists in general practice in Dudley CCG are able to deliver clinical interventions efficiently and in high volume. In doing so, clinical pharmacists were able to generate considerable financial returns on investment. Further work is recommended to examine the effectiveness and cost-effectiveness of clinical pharmacists in general practice in improving outcomes for patients.


Subject(s)
General Practice/organization & administration , Pharmaceutical Services/organization & administration , Pharmacists/organization & administration , Primary Health Care/organization & administration , England , General Practice/economics , General Practitioners/organization & administration , Humans , Pharmaceutical Services/economics , Pharmacists/economics , Primary Health Care/economics , Professional Role , Resource Allocation/statistics & numerical data , Retrospective Studies
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