Decision support systems for choosing a primary health care provider in Sweden

Ranerup, Agneta; Norén, Lars; Sparud-Lundin, Carina

doi:10.1016/j.pec.2011.06.013

Cited by 17 publications

(16 citation statements)

References 16 publications

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“…In each of the selected districts was applied a simple random and systematic sampling procedures at different stages. First, in Kumasi Metro, one submetro (ie, Oforikrom) was selected out of the 10 submetros after which systematic sampling method was used to select houses to visit in order to interview 400 individual enrolees [3] . The selection of Oforikrom submetro was based on a list that contained all the ten submetros with their assigned numbers.…”

Section: Setting and Populationmentioning

confidence: 99%

“…[2] For the purposes of this study, all metropolitan, municipal, and district administrative areas are termed as districts. [3] In the present study, a house means a dwelling unit or dwelling place for people. The residents may or may not share living arrangements.…”

Section: Ethical Issuesmentioning

confidence: 99%

“…In recent years, the patient choice concept has attracted considerable attention, for instance in the Netherlands, the United States, and the United Kingdom, due to its potential to create a more patient-centred care, improve efficiency, quality, and equity in healthcare use. [3][4][5] In most advanced economies, with well-developed healthcare markets, health insurers and patients have the freedom to choose which hospital to contract and/or visit with fewer complexities. One of the myriad ways of offering patients a choice is through patient list systems (as happens in Norway, the United States, and Denmark).…”

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confidence: 99%

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Preferred Primary Healthcare Provider Choice Among Insured Persons in Ashanti Region, Ghana

Boachie

2015

Int J Health Policy Manag

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Background: In early 2012, National Health Insurance Scheme (NHIS) members in Ashanti Region were allowed to choose their own primary healthcare providers. This paper investigates the factors that enrolees in the Ashanti Region considered in choosing preferred primary healthcare providers (PPPs) and direction of association of such factors with the choice of PPP. Methods: Using a cross-sectional study design, the study sampled 600 NHIS enrolees in Kumasi Metro area and Kwabre East district. The sampling methods were a combination of simple random and systematic sampling techniques at different stages. Descriptive statistics were used to analyse demographic information and the criteria for selecting PPP. Multinomial logistic regression technique was used to ascertain the direction of association of the factors and the choice of PPP using mission PPPs as the base outcome. Results: Out of the 600 questionnaires administered, 496 were retained for further analysis. The results show that availability of essential drugs (53.63%) and doctors (39.92%), distance or proximity (49.60%), provider reputation (39.52%), waiting time (39.92), additional charges (37.10%), and recommendations (48.79%) were the main criteria adopted by enrolees in selecting PPPs. In the regression, income (-0.0027), availability of doctors (-1.82), additional charges (-2.14) and reputation (-2.09) were statistically significant at 1% in influencing the choice of government PPPs. On the part of private PPPs, availability of drugs (2.59), waiting time (1.45), residence (-2.62), gender (-2.89), and reputation (-2.69) were statistically significant at 1% level. Presence of additional charges (-1.29) was statistically significant at 5% level. Conclusion: Enrolees select their PPPs based on such factors as availability of doctors and essential drugs, reputation, waiting time, income, and their residence. Based on these findings, there is the need for healthcare providers to improve on their quality levels by ensuring constant availability of essential drugs, doctors, and shorter waiting time. However, individual enrolees may value each criterion differently. Thus, not all enrolees may be motivated by same concerns. This requires providers to be circumspect regarding the factors that may attract enrolees. The National Health Insurance Authority (NHIA) should also ensure timely release of funds to help providers procure the necessary medical supplies to ensure quality service.

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Section: Setting and Populationmentioning

confidence: 99%

Section: Ethical Issuesmentioning

confidence: 99%

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confidence: 99%

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Preferred Primary Healthcare Provider Choice Among Insured Persons in Ashanti Region, Ghana

Boachie

2015

Int J Health Policy Manag

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“…Other than business-related field, they also include medical fields like knowledge from pathology data, knowledge translation tools for osteoporosis III. RESEARCH ON PREVIOUS DECISION SUPPORT SYSTEMS (DSS) FRAMEWORS [19], environmental science field like identify tidal in-stream locations [20], patient choice in primary health care [21], predicting the forest fire [22] and forensic science fields [23]- [25]. DSS involved in multi-disciplinary research.…”

Section: Aspect Of Definitions Detail Explanation(s)mentioning

confidence: 99%

Evolutionary Framework of a Decision Support System for Forensic DNA Analysis

Noor¹,

Ghazali²,

Saman³

et al. 2014

LNSE

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Abstract-Research trend in DSS has moved from the issue of DSS development into DSS evolution. Initial works has been done in 1980's but further research has not been done continuously. The evolution issue of DSS has gained interests again; hence the focus in this research is mainly about evolution decision support systems (DSS) especially from the state-of-art of the proposed frameworks. Chosen area of interest to be demonstrated in solving problems for the evolution of DSS frameworks in this paper is in domain forensic science, or more specifically, forensic DNA analysis. DSS frameworks for forensic science are explored first. From the literatures, it shows that there are significant lacks of available research works for evolution of a DSS in many areas of interests, and not only in forensic science. Types of frameworks for a DSS in general are studied and summaries are presented. The proposed evolutionary framework for a DSS in forensic DNA analysis is initiated.

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“…Green, McDowell, and Potts (2008), who studied the Choose & Book system, found that doctors still retain considerable influence on patients' choices. Ranerup, Norén, and Sparud-Lundin (2012) and Damman (2010) conducted broad surveys of technical support for choice in healthcare in Sweden and in Holland, respectively. Fasolo, Reutskaja, Dixon, and Boyce (2010), Moser, Korstjens, van der Weijden, and Tange (2010), and Ranganathan et al (2009) emphasized the importance of design as an influence on choice itself.…”

Section: Introductionmentioning

confidence: 99%

How are citizens’ public service choices supported in quasi-markets?

Ranerup

Norén

2015

International Journal of Information Management

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a b s t r a c tMany countries have introduced quasi-market reforms that enable citizens' choice in education, healthcare, and other public services. The research question in this paper is the following: How can Web-based decision support help citizens to make calculated public service choices in quasi-markets? In Section 3, the paper focuses on how decision support design helps citizens make such choices as they isolate, examine, and rank alternatives. A case study, set in Sweden, explores 14 cases of decision support in education, healthcare, elder care, and the public pension system. Decision support is most evident in the area of education, but decision support is found in the other areas as well. In most cases, the support consists of information on the right of choice and instructions on how to search among alternatives. Many areas permit direct comparisons, but some areas only permit more indirect comparisons. All 14 cases explain how to make a choice, but only a few cases offer a ranking device. The decision support for choice is inconsistent with the theoretical model of calculated choice in all aspects despite the trend toward greater consistency with the model. Our results call for a critical discussion of technology design that aids citizens as consumers or customers in their relationship with public services.

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Decision support systems for choosing a primary health care provider in Sweden

Cited by 17 publications

References 16 publications

Preferred Primary Healthcare Provider Choice Among Insured Persons in Ashanti Region, Ghana

Preferred Primary Healthcare Provider Choice Among Insured Persons in Ashanti Region, Ghana

Evolutionary Framework of a Decision Support System for Forensic DNA Analysis

How are citizens’ public service choices supported in quasi-markets?

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