Care outcomes and alcohol-related treatment utilisation profiles of patients with alcohol-use disorder

Rautiainen, Elina; Ryynänen, Olli‐Pekka; Laatikainen, Tiina

doi:10.1177/1455072518783972

Cited by 6 publications

(3 citation statements)

References 56 publications

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“…The selected data were originally used for other research purposes and includes mainly patients with alcohol-use disorder (Rautiainen, Ryynänen, and Laatikainen 2018), type 2 diabetes (Toivakka et al 2018), coronary heart disease (Repo et al 2018) and anticoagulation (Leminen et al 2019). The data is therefore not an exact representation of the entire population, but its geographic distribution is rather similar, and it is useful for our study.…”

Section: Facility Location Optimisationmentioning

confidence: 99%

Fast travel-distance estimation using overhead graph

Mariescu-Istodor

Fränti

2021

Journal of Location Based Services

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Shortest path can be computed in real-time for single navigational instructions. However, in complex optimisation tasks, lots of travel-distances (lengths of shortest paths) are needed and the total workload becomes a burden. We present a fast method for estimating the travel-distance from one location to another by using an overhead graph that stores the ratio between the bird-distance and the travel-distance for few representative locations. The travel-distance is then estimated for any two locations using the corresponding value between their nearest nodes in the graph. We test the method within an optimization setting where the goal is to relocate health services so that the travel-distance of patients is minimised. We build the overhead graph using road network information from Open Street Map and experiment with real-world data in the region of North Karelia, Finland as a part of the ongoing IMPRO project. The results show that the average estimation error is 0.5 km with a graph of 512 nodes, and the total processing time reduces from 1.2 hours to 2.9 seconds per iteration in the optimisation process. The error in the estimated travel-distances is 2%, on average, which is significantly smaller than 8% of the second best estimation method.

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Section: Facility Location Optimisationmentioning

confidence: 99%

Fast travel-distance estimation using overhead graph

Mariescu-Istodor

Fränti

2021

Journal of Location Based Services

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“… Rautiainen, Ryynänen, and Laatikainen (2018) look at the outcomes of working-age treatment patients with alcohol-use disorder. This North Karelian study provides evidence of the great severity of problems and relatively weak prospects of recovery for this care population.…”

Section: Issue 5 2018mentioning

confidence: 99%

Opioids, opioids, opioids

Hellman

2018

Nordic Studies on Alcohol and Drugs

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Nearly 30% of outpatient opioid prescriptions in the United States have no documented clinical reason to justify the use of the drugs. This is shown in a recent analysis of physician visit records by researchers at Harvard Medical School and the RAND Corporation published in September 2018 (Tisamarie, Sabety, & Maestas, 2018). The results are not that surprising to anyone familiar with the ongoing American opioid crisis. This is a crisis entailing the misuse of prescription painkillers, heroin, and synthetic opiates such as fentanyl. The increased prescription of opioid-based medical drugs began in the 1990s after Big Pharma had publicly assured that the drugs would not lead to addiction. Today, 25% of American heroin users started out with prescription opioids (Jones, 2013). Each day, at least 115 Americans die of an opioid overdose (CDC/NCHS, 2017). As is so often the case with scholars in the field of addiction research, misery draws our attention and interest: the opioid crisis was basically why I applied for entry into a visiting scholar programme to work in Boston in the autumn of 2018. My interest was not so much in the drug epidemic as such as in the new ways in which it was part of a stratification of the population. Why are middle-aged whites dying?

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“…Recording practices may also be affected by, e.g., avoidance of stigmatising labels, which may affect different socioeconomic groups differently. Some evidence exists that an alcohol-related diagnosis is coded only after the problem has reached an advanced state ( Rautiainen et al, 2018 ). Any further information on the coverage of alcohol-related problems and factors related to that coverage would be welcome for people planning to use the register data for research or monitoring purposes.…”

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confidence: 99%

Comparison of data sources on alcohol problems: An exploratory exercise using surveys vs. national healthcare registers

Mäkelä

Kuussaari

Partanen

et al. 2020

Nordic Studies on Alcohol and Drugs

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Aims: Both survey and healthcare register data struggle as data sources to capture the phenomenon of alcohol problems. We study a large group of people for whom survey data and two types of register data are available, and examine the overlaps of similar or related measures in the different data sources to learn about potential weaknesses in each. We also examine how register-based data on the prevalence of alcohol problems change depending on which register data are used. Design: We use data from the Regional Health and Wellbeing Study (ATH) of the adult Finnish population collected in 2013 and 2014 ( n = 69,441), individually linked with data on two national healthcare registers (Care Register for Health Care; Register of Primary Health Care visits) for the survey year and previous year. Results: The prevalence of substance-abuse-related healthcare was almost two-fold if data on outpatient primary care visits were included in addition to hospitalisations. Forty-six per cent of the survey respondents self-reporting substance-abuse-related healthcare service use were identified in the registers, and 22% of all respondents with such service use according to registers reported this in the survey. Records of substance-abuse-related healthcare service use, controlled for self-reported alcohol use and self-reported substance-abuse-related service use, were found more often for men, the middle-aged, people with basic education only, and the non-employed. Conclusions: The results are suggestive of underreporting in both data sources. There is an evident need to develop recording practices in the healthcare registers regarding substance use disorders.

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Care outcomes and alcohol-related treatment utilisation profiles of patients with alcohol-use disorder

Cited by 6 publications

References 56 publications

Fast travel-distance estimation using overhead graph

Fast travel-distance estimation using overhead graph

Opioids, opioids, opioids

Comparison of data sources on alcohol problems: An exploratory exercise using surveys vs. national healthcare registers

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