ABSTRACT
BACKGROUND: In Finland, at least 1 in 4 residents will be >75 years of age in 2030. The national aging policy has emphasized the need to improve supportive services to enable older people to live in their own homes for as long as possible. OBJECTIVE: This study aimed to develop a preventive health screening procedure for home-dwelling older adults aged 75 years to enable the use of clinical patient data for purposes of strategic planning of supportive services in primary care. METHODS: The action research method was applied to develop the health screening procedure with selected validated health measures in cooperation with the local practicing interprofessional health care teams from 10 primary care centers in the Social Security Center of Pori, Western Finland (99,485 residents, n=11,938, 12% of them >75 years). The selection of evidence-based validated health measures was based on the national guide to screen factors increasing fall risk and the national functioning measures database. The cut-off points of the selected health measures and laboratory tests were determined in consecutive consensus meetings with the local primary care physicians, with decisions based on internationally validated measures, national current care guidelines, and local policies in clinical practice. RESULTS: The health screening procedure for 75-year-old residents comprised 30 measures divided into three categories: (1) validated self-assessments (9 measures), (2) nurse-conducted screenings (14 measures), and (3) laboratory tests (7 measures). The procedure development process comprised the following steps: (1) inventory and selection of the validated health measures and laboratory tests, (2) training of practical nurses to perform screenings for the segment of 75-year-old residents and to guide them to possible further medical actions, (3) creation of research data from clinical patient data for secondary use purposes, (4) secondary data analysis, and (5) consensus meeting after the pilot test of the health screening procedure for 75-year-old residents procedure in 2019 based on the experiences of health care professionals and collected research data. CONCLUSIONS: The developed preventive health screening procedure for 75-year-old residents enables the use of clinical patient data for purposes of strategic planning of supportive services in primary care if the potential bias by a low participation rate is controlled. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/48753.
ABSTRACT
Background: Poor medication management may negatively impact the health and functional capacity of older adults. This cross-sectional study aimed to identify medication-related risk factors in home-dwelling residents using a validated self-assessment as part of comprehensive health screening. Methods: The data were derived from comprehensive health screening (PORI75) for older adults of 75 years living in Western Finland in 2020 and 2021. One of 30 validated measures in health screening focused on identifying medication-related risk factors (LOTTA Checklist). The Checklist items were divided into (1) systemic risk factors (10 items) and (2) potentially drug-induced symptoms (10 items). Polypharmacy was categorized according to the number of used drugs: (1) no polypharmacy (<5 drugs), (2) polypharmacy (≥5 and <10), and (3) excessive polypharmacy (≥10). The linearity across these three polypharmacy groups was evaluated using the Cochran-Armitage test. Results: Altogether, 1024 out of 1094 residents who participated in the health screening consented to this study (n = 569 in 2020 and n = 459 in 2021). The mean number of all drugs in use was 7.0 (range 0-26; SD 4.1), with 71% of the residents using >5 drugs, that is, having polypharmacy. Of the systemic risk factors most common was that the resident had more than one physician responsible for the treatment (48% of the residents), followed by missing drug list (43%), missing regular monitoring (35%), and unclear durations of the medication (35%). The most experienced potentially drug-induced symptoms were self-reported constipation (21%), urinating problems (20%), and unusual tiredness (17%). An increasing number of drugs in use, particularly excessive polypharmacy, was associated with various medication-related risk factors. Conclusion: As a part of comprehensive health screening the LOTTA Checklist provides useful information to prevent medication-related risk factors in home-dwelling older adults. The Checklist could be used to guide planning and implementing health services in the future.
ABSTRACT
BACKGROUND: The Finnish dairy herd recording system maintains production and health records of cows and herds. Veterinarians and farmers register veterinary treatments in the system. Milk samples for microbiological analysis are routinely taken from mastitic cows. The laboratory of the largest dairy company in Finland, Valio Ltd., analyzes most samples using real-time PCR. This study addressed pathogen-specific microbiological data and treatment and culling records, in combination with cow and herd characteristics, from the Finnish dairy herd recording system during 2010-2012. RESULTS: The data derived from 240,067 quarter milk samples from 93,529 dairy cows with mastitis; 238,235 cows from the same herds served as the control group. No target pathogen DNA was detected in 12% of the samples. In 49% of the positive samples, only one target species and in 19%, two species with one dominant species were present. The most common species in the samples with a single species only were coagulase-negative staphylococci (CNS) (43%), followed by Staphylococcus aureus (21%), Streptococcus uberis (9%), Streptococcus dysgalactiae (8%), Corynebacterium bovis (7%), and Escherichia coli (5%). On average, 36% of the study cows and 6% of the control cows had recorded mastitis treatments during lactation. The corresponding proportions were 16 and 6% at drying-off. For more than 75% of the treatments during lactation, diagnosis was acute clinical mastitis. In the milk samples from cows with a recorded mastitis treatment during lactation, CNS and S. aureus were most common, followed by streptococci. Altogether, 48% of the cows were culled during the study. Mastitis was reported as the most common reason to cull; 49% of study cows and 18% of control cows were culled because of mastitis. Culling was most likely if S. aureus was detected in the milk sample submitted during the culling year. CONCLUSIONS: The PCR test has proven to be an applicable method also for large-scale use in bacterial diagnostics. In the present study, microbiological diagnosis was unequivocal in the great majority of samples where a single species or two species with one dominating were detected. Coagulase-negative staphylococci and S. aureus were the most common species. S. aureus was also the most common pathogen among the culled cows, which emphasizes the importance of preventive measures.
