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1.
Drug Saf ; 37(6): 433-48, 2014 Jun.
Article in English | MEDLINE | ID: mdl-24788801

ABSTRACT

BACKGROUND: Antimalarial treatment strategies have changed much in the last 15 years, resulting in an increased variety of medicines available. Active pharmacovigilance methods are important for continued safety surveillance of these medicines, particularly in environments in which there is variability in treatments prescribed and limited confirmatory diagnostic capacity as well as limited ability of spontaneous reporting pharmacovigilance systems to generate much needed safety information quickly and efficiently. OBJECTIVE: Our objective was to use the cohort-event monitoring (CEM) technique to gather drug utilization and adverse event data for patients prescribed antimalarial medicines in an outpatient setting. METHODS: The characteristics of a large urban African cohort of outpatients (n = 2,831) receiving antimalarial medications are described. The cohort was actively surveyed over the subsequent week to record adverse events, using follow-up phone calls, paper reports, and/or voluntary return clinic visits. Adverse events reported in the cohort were analysed overall and by clinically relevant age and medication groupings. RESULTS: At least one event was reported in 29.4 % of patients. Adverse events were more likely to be reported in subjects older than 12 years of age, and by patients prescribed an artesunate-amodiaquine combination. A range of adverse events were reported, the most frequent higher level terms being asthenic conditions (10.1 % of total cohort), neurological signs and symptoms (4.5 %), headaches (3.1 %), appetite disorders (2.1 %), and disturbances in consciousness (1.6 %). There were three reports of possible extrapyramidal events (two cases of tremor "hand and back shaking all over" and one case of tongue protrusion), which may appear to be related to combinations including amodiaquine and an artemisinin. CONCLUSION: The CEM methodology is a useful tool for monitoring the safety of widely available and utilized medicines, particularly in an urban environment where spontaneous reporting yields poor results and where the availability of various regimens and high levels of medicine usage can give valuable 'real-life' safety data. The types and frequencies of events reported reflected the types of events expected in patients prescribed antimalarials and nearly all events reported are listed in the summary of product characteristics of the medicines involved.


Subject(s)
Antimalarials/adverse effects , Antimalarials/therapeutic use , Drug-Related Side Effects and Adverse Reactions/epidemiology , Malaria/drug therapy , Adolescent , Adult , Adverse Drug Reaction Reporting Systems , Child , Child, Preschool , Drug Monitoring/methods , Drug Utilization/statistics & numerical data , Female , Ghana , Humans , Longitudinal Studies , Male , Middle Aged , Pharmacovigilance , Prospective Studies , Young Adult
2.
Health Policy Plan ; 27 Suppl 4: iv20-31, 2012 Oct.
Article in English | MEDLINE | ID: mdl-23014150

ABSTRACT

Implementation of policies (decisions) in the health sector is sometimes defeated by the system's response to the policy itself. This can lead to counter-intuitive, unanticipated, or more modest effects than expected by those who designed the policy. The health sector fits the characteristics of complex adaptive systems (CAS) and complexity is at the heart of this phenomenon. Anticipating both positive and negative effects of policy decisions, understanding the interests, power and interaction between multiple actors; and planning for the delayed and distal impact of policy decisions are essential for effective decision making in CAS. Failure to appreciate these elements often leads to a series of reductionist approach interventions or 'fixes'. This in turn can initiate a series of negative feedback loops that further complicates the situation over time. In this paper we use a case study of the Additional Duty Hours Allowance (ADHA) policy in Ghana to illustrate these points. Using causal loop diagrams, we unpack the intended and unintended effects of the policy and how these effects evolved over time. The overall goal is to advance our understanding of decision making in complex adaptive systems; and through this process identify some essential elements in formulating, updating and implementing health policy that can help to improve attainment of desired outcomes and minimize negative unintended effects.


Subject(s)
After-Hours Care/economics , Delivery of Health Care/organization & administration , Health Plan Implementation , Policy Making , Salaries and Fringe Benefits/legislation & jurisprudence , Decision Making , Ghana , Health Policy , Medical Staff/economics , Organizational Innovation
3.
Malar J ; 8: 2, 2009 Jan 05.
Article in English | MEDLINE | ID: mdl-19123926

ABSTRACT

BACKGROUND: Change of first-line treatment of uncomplicated malaria to artemisinin-combination therapy (ACT) is widespread in Africa. To expand knowledge of safety profiles of ACT, pharmacovigilance activities are included in the implementation process of therapy changes. Ghana implemented first-line therapy of artesunate-amodiaquine in 2005. Drug utilization data is an important component of determining drug safety, and this paper describes how anti-malarials were prescribed within a prospective pharmacovigilance study in Ghana following anti-malarial treatment policy change. METHODS: Patients with diagnosis of uncomplicated malaria were recruited from pharmacies of health facilities throughout Accra in a cohort-event monitoring study. The main drug utilization outcomes were the relation of patient age, gender, type of facility attended, mode of diagnosis and concomitant treatments to the anti-malarial regimen prescribed. Logistic regression was used to predict prescription of nationally recommended first-line therapy and concomitant prescription of antibiotics. RESULTS: The cohort comprised 2,831 patients. Curative regimens containing an artemisinin derivative were given to 90.8% (n = 2,574) of patients, although 33% (n = 936) of patients received an artemisinin-based monotherapy. Predictors of first-line therapy were laboratory-confirmed diagnosis, age >5 years, and attending a government facility. Analgesics and antibiotics were the most commonly prescribed concomitant medications, with a median of two co-prescriptions per patient (range 1-9). Patients above 12 years were significantly less likely to have antibiotics co-prescribed than patients under five years; those prescribed non-artemisinin monotherapies were more likely to receive antibiotics. A dihydroartemisinin-amodiaquine combination was the most used therapy for children under five years of age (29.0%, n = 177). CONCLUSION: This study shows that though first-line therapy recommendations may change, clinical practice may still be affected by factors other than the decision or ability to diagnose malaria. Age, diagnostic confirmation and suspected concurrent conditions lead to benefit:risk assessments for individual patients by clinicians as to which anti-malarial treatment to prescribe. This has implications for adherence to policy changes aiming to implement effective use of ACT. These results should inform education of health professionals and rational drug use policies to reduce poly-pharmacy, and also suggest a potential positive impact of increased access to testing for malaria both within health facilities and in homes.


Subject(s)
Amodiaquine/therapeutic use , Antimalarials/therapeutic use , Artemisinins/therapeutic use , Drug Utilization/statistics & numerical data , Malaria/drug therapy , Plasmodium/drug effects , Adolescent , Adult , Aged , Amodiaquine/administration & dosage , Amodiaquine/adverse effects , Animals , Antimalarials/administration & dosage , Antimalarials/adverse effects , Artemisinins/administration & dosage , Artemisinins/adverse effects , Child , Child, Preschool , Drug Therapy, Combination , Female , Ghana , Humans , Legislation, Drug , Logistic Models , Malaria/parasitology , Male , Middle Aged , Multivariate Analysis , Plasmodium/growth & development , Practice Patterns, Physicians'/statistics & numerical data , Prospective Studies , Treatment Outcome
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