This study aims to demonstrate the prevalence of pain as a reason for seeing a physician in primary care. We also performed an analysis of the localization, duration and frequency of pains, as well as the diagnoses of patients having pain. A total of 28 physicians at 25 health centers in Finland collected the data, comprising 5646 patient visits. Pain was identified as the reason for 2237 (40%) of the visits. The most common localizations were in the lower back, abdomen and head. One-fifth of the pain patients had experienced pain for over six months. Analysis of the diagnoses revealed half of the pains to be musculoskeletal. Patients experienced considerable limitations in various activities of life due to pain. A quarter of the pain patients of active working age received sick leave. Our results confirm that pain is a major primary health care problem, which has an enormous impact on public health.

No abstract

Background: Databases of prescription drug purchases are now widely used in pharmacoepidemiologic studies. Several methods have been used to generate drug use periods from drug purchases to investigate various aspects; e.g., to study associations between exposure and outcome. Typically, such methods have been fairly simplistic, with fixed assumptions of drug use pattern and or dose (for example, the assumed usage of 1 tablet per day). This paper describes a novel PRE2DUP method that constructs drug use periods from purchase histories, and verified by a validation based on an expert evaluation of the drug use periods generated by the method. Methods: The PRE2DUP method is a novel approach based on mathematical modelling of personal drug purchasing behaviors. The method uses a decision procedure that includes each person's purchase history for each ATC code, processed in a chronological order. The method constructs exposure time periods and estimates the dose used during the period by considering the purchased amount in Defined Daily Doses (DDDs), which is recorded in the prescription register database. This method takes account of stockpiling of drugs, personal purchasing pattern; i.e., regularity of the purchases, and periods of hospital or nursing home care where drug use is not recorded in the prescription register. The method can be applied to a variety of drug classes with different doses and use patterns by controlling restriction parameters for each ATC class, or even each drug package. In the presented example, the PRE2DUP method was applied to a register-based MEDALZ-2005 study cohort. All drug purchases (3,793,085) recorded in the Finnish prescription register between 2002 and 2009 for persons with Alzheimer's disease (28,093) were included. Results: Results of the expert-opinion based validation indicate that PRE2DUP method creates drug use periods with a relatively high correctness. Drugs with varying patterns of use and drugs used on a short-term basis only require more precise parameters. Conclusions: PRE2DUP method gives highly accurate drug use periods for most drug classes, especially those meant for long-term use.

No abstract

Statistics and prescription database studies show that analgesics are widely utilized, but do not tell anything about either the factors behind analgesic use or how over-the-counter (OTC) analgesics are being used. We aimed to study the prevalence of frequent use of prescribed and OTC analgesics. We also investigated the background factors related to frequent analgesic use and assessed rationality of analgesic usage patterns. We addressed a postal survey to a random stratified population sample of 6500 Finnish people aged 15-74 years. The response rate was 71% (n=4542) after exclusion of unobtainable addressees (n=68). Individuals reporting analgesic use 'daily' or 'a few times a week' were categorized as frequent users. After adjusting for age and sex, the overall prevalence of daily analgesic use was 8.5%, and the prevalence of analgesic use a few times a week 13.6%. The adjusted prevalence of using exclusively prescribed analgesics daily or a few times a week was 8.7%, and that of utilizing purely OTC analgesics 8.8%. The overall prevalence of concomitant frequent use of both prescribed and OTC analgesics was 4.6%. Multinominal logistic regression analyses showed that frequent analgesic use was related especially to daily or continuous pain and high pain intensity. Low mood and not being employed also increased the probability for daily analgesic use. Frequent analgesic use seems to be common at population level. Concomitant use of both prescribed and OTC analgesics can be considered irrational, as it increases the risk of adverse events.

Finnish people consider GS a good reform. They also have confidence in the effect of cheaper medicines. Savings are the main reason for accepting GS.

Musculoskeletal pain is an outstanding symptom among the patients of primary health care. However, there are few studies of management and costs of musculoskeletal pain at primary health care level. The aim of this study was to describe the diagnostic investigations, management, referral rate and sick leaves related to visits prompted by musculoskeletal pain as well as to assess their costs. A total of 28 general practitioners (GPs) at 25 randomly selected health centres throughout Finland collected the data for this 4 week study, which covered 1 week from each of the four seasons. All visits, except those occurring after hours, were recorded. Altogether 1123 patients visited GPs because of musculoskeletal pain. Laboratory tests were ordered for 12% and imaging investigations for 24%. A total of 16% of the patients suffering from musculoskeletal pain received a prescription for physiotherapy, and analgesics were prescribed to 61% of them. Physicians referred 7% of the pain patients to specialist care. One out of every four patients was prescribed sick leave. The mean cost of the investigations, therapy, referrals, and sick leaves was as high as 530 EUR per visit, with absenteeism from work constituting two-fifths of the total costs. Musculoskeletal pain is not just a frequent complaint but also has extensive economic consequences for society. Investigations and therapy at the primary health care level play a minor role in the costs as compared with specialist care and sick leaves.

A considerable proportion of children use prescription and OTC medicines in Finland. Young age and health-related factors, morbidity and health status, and parental medicine use predicted children's medicine use. Further studies are needed to examine the association between parents' and children's medicine use.