6 resultados para Initial data problem
em Dalarna University College Electronic Archive
Resumo:
Background: The Swedish Maternal Health Care Register (MHCR) is a national quality register that has been collecting pregnancy, delivery, and postpartum data since 1999. A substantial revision of the MHCR resulted in a Web-based version of the register in 2010. Although MHCR provides data for health care services and research, the validity of the MHCR data has not been evaluated. This study investigated degree of coverage and internal validity of specific variables in the MHCR and identified possible systematic errors. Methods: This cross-sectional observational study compared pregnancy and delivery data in medical records with corresponding data in the MHCR. The medical record was considered the gold standard. The medical records from nine Swedish hospitals were selected for data extraction. This study compared data from 878 women registered in both medical records and in the MHCR. To evaluate the quality of the initial data extraction, a second data extraction of 150 medical records was performed. Statistical analyses were performed for degree of coverage, agreement and correlation of data, and sensitivity and specificity. Results: Degree of coverage of specified variables in the MHCR varied from 90.0% to 100%. Identical information in both medical records and the MHCR ranged from 71.4% to 99.7%. For more than half of the investigated variables, 95% or more of the information was identical. Sensitivity and specificity were analysed for binary variables. Probable systematic errors were identified for two variables. Conclusions: When comparing data from medical records and data registered in the MHCR, most variables in the MHCR demonstrated good to very good degree of coverage, agreement, and internal validity. Hence, data from the MHCR may be regarded as reliable for research as well as for evaluating, planning, and decision-making with respect to Swedish maternal health care services.
Resumo:
Många projekt misslyckas och en av anledningarna är dålig styrning av projektet i allmänhet och inom IT branschen i synnerhet. Baserad på kritik av de traditionella metoderna under de senaste åren, så har det uppkommit flera lättrörliga metoder som kallas Agila metoder. Scrum är den mest kända Agila metoden som används idag. Metoden lovar goda resultat, men i en artikel ur tidningen Computer Sweden (feb 2009) står det ”siffror visar att nio av tio Scrumprojekt misslyckas”. Artikeln triggade vårt intresse av att ta reda på vilka problem specifika för Scrum som många har kritiserat och valde därför att rikta in vår studie mot detta. Uppsatsen syftar till att undersöka om lokala IT-företag i Borlänge, Headlight, Sogeti ochstatliga nätkapacitetleverantören Trafikverket ICT lider av det allmänna problem som de andra Scrumanvändarna upplever i samband med användningen av metoden. Denna uppsats har fokus på fyra problemområden: bristfällig dokumentation, sämre effektivitet i arbetsprocessen, sämre effektivitet i arbetsprocessen i stora projekt samt bristande stöd för utvärdering. För vår studie har litteraturstudier och intervjuer genomförts. Intervjuserier gjordes på elva personer hos våra fallföretag. Målgruppen för våra intervjuer är Product Owner (PO) ScrumMaster (SM) och utvecklare. Vi kan efter genomförd studie dra slutsatsen att de allmänna upplevda problem som de andra Scrumanvändaren upplever har vi även kunnat identifiera hos våra fallföretag. Resultaten har bekräftats med insamlade data och vår teoretiska ram. I diskussionen presenterar vi rekommendationer för att undvik relaterade problem med Scrum.
Resumo:
I denna uppsats lägger jag fokus på att undersöka de olika matematiska uttrycksformer someleverna tillämpar när de löser ett rikt problem. Svaret söks med hjälp av empirisk data. Syftetmed arbetet är att undersöka hur några elever som går första året på gymnasiet löser ett riktproblem. Två grupper elever som går i två olika program deltar i undersökningen. Analysengjordes med hjälp av ”KLAG-matrisen”, dvs. en matris som innehåller uttrycksformerna Konkret,Logisk/språklig, Algebraisk/aritmetisk samt Grafisk/geometrisk. Resultatet av litteratur- ochempiristudien visar att oavsett hur eleverna uttrycker sig i sina lösningsförslag innehåller det alltidnågon form av algebraisk/aritmetisk uttrycksform. Detta kan bero på att det för dessa elever ärlättare att kommunicera med algebraisk/aritmetisk uttrycksform än med någon annan. Resultatetvisar också vikten av att använda problemlösning som ett medel i en lärandeprocess även för attutveckla andra förmågor. Eleverna har olika uppfattningar och gör olika tolkningar av problemet.De har olika förutsättningar och använder varierande lösningsmetoder. Detta skulle kunna varaen förklaring till varför deras användning av uttrycksformer är olika.
Resumo:
BACKGROUND: Unsafe abortions are a serious public health problem and a major human rights issue. In low-income countries, where restrictive abortion laws are common, safe abortion care is not always available to women in need. Health care providers have an important role in the provision of abortion services. However, the shortage of health care providers in low-income countries is critical and exacerbated by the unwillingness of some health care providers to provide abortion services. The aim of this study was to identify, summarise and synthesise available research addressing health care providers' perceptions of and attitudes towards induced abortions in sub-Saharan Africa and Southeast Asia. METHODS: A systematic literature search of three databases was conducted in November 2014, as well as a manual search of reference lists. The selection criteria included quantitative and qualitative research studies written in English, regardless of the year of publication, exploring health care providers' perceptions of and attitudes towards induced abortions in sub-Saharan Africa and Southeast Asia. The quality of all articles that met the inclusion criteria was assessed. The studies were critically appraised, and thematic analysis was used to synthesise the data. RESULTS: Thirty-six studies, published during 1977 and 2014, including data from 15 different countries, met the inclusion criteria. Nine key themes were identified as influencing the health care providers' attitudes towards induced abortions: 1) human rights, 2) gender, 3) religion, 4) access, 5) unpreparedness, 6) quality of life, 7) ambivalence 8) quality of care and 9) stigma and victimisation. CONCLUSIONS: Health care providers in sub-Saharan Africa and Southeast Asia have moral-, social- and gender-based reservations about induced abortion. These reservations influence attitudes towards induced abortions and subsequently affect the relationship between the health care provider and the pregnant woman who wishes to have an abortion. A values clarification exercise among abortion care providers is needed.
Resumo:
The p-median model is used to locate P facilities to serve a geographically distributed population. Conventionally, it is assumed that the population patronize the nearest facility and that the distance between the resident and the facility may be measured by the Euclidean distance. Carling, Han, and Håkansson (2012) compared two network distances with the Euclidean in a rural region witha sparse, heterogeneous network and a non-symmetric distribution of thepopulation. For a coarse network and P small, they found, in contrast to the literature, the Euclidean distance to be problematic. In this paper we extend their work by use of a refined network and study systematically the case when P is of varying size (2-100 facilities). We find that the network distance give as gooda solution as the travel-time network. The Euclidean distance gives solutions some 2-7 per cent worse than the network distances, and the solutions deteriorate with increasing P. Our conclusions extend to intra-urban location problems.
Resumo:
To have good data quality with high complexity is often seen to be important. Intuition says that the higher accuracy and complexity the data have the better the analytic solutions becomes if it is possible to handle the increasing computing time. However, for most of the practical computational problems, high complexity data means that computational times become too long or that heuristics used to solve the problem have difficulties to reach good solutions. This is even further stressed when the size of the combinatorial problem increases. Consequently, we often need a simplified data to deal with complex combinatorial problems. In this study we stress the question of how the complexity and accuracy in a network affect the quality of the heuristic solutions for different sizes of the combinatorial problem. We evaluate this question by applying the commonly used p-median model, which is used to find optimal locations in a network of p supply points that serve n demand points. To evaluate this, we vary both the accuracy (the number of nodes) of the network and the size of the combinatorial problem (p). The investigation is conducted by the means of a case study in a region in Sweden with an asymmetrically distributed population (15,000 weighted demand points), Dalecarlia. To locate 5 to 50 supply points we use the national transport administrations official road network (NVDB). The road network consists of 1.5 million nodes. To find the optimal location we start with 500 candidate nodes in the network and increase the number of candidate nodes in steps up to 67,000 (which is aggregated from the 1.5 million nodes). To find the optimal solution we use a simulated annealing algorithm with adaptive tuning of the temperature. The results show that there is a limited improvement in the optimal solutions when the accuracy in the road network increase and the combinatorial problem (low p) is simple. When the combinatorial problem is complex (large p) the improvements of increasing the accuracy in the road network are much larger. The results also show that choice of the best accuracy of the network depends on the complexity of the combinatorial (varying p) problem.