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<p class="MsoNormal">Hej everyone,<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Unlike Ricardo, I’ve not commented on the proposal in detail - but here are my initial thoughts and concerns:<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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My main concern is still with the feasibility of the study in terms of the time and resources needed. I’m currently working on two surveys that (hopefully) will be conducted in Sweden during the spring – and it has taken a fair amount of time, money, and work
to get to this point with both. Developing the questionnaire, informational material, ethical vetting, drawing a sample, etc. I have a hard time seeing how we would be able to do this, analyse the data and write papers on the results within our time and resource
constraints. Especially if it is to be an international survey.<o:p></o:p></li></ol>
<p class="MsoListParagraphCxSpMiddle"><o:p> </o:p></p>
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<li class="MsoListParagraphCxSpMiddle" style="margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
Although I think the topic is very interesting and worthwhile, I’m still not entirely sure of how we would analyse it and what we would learn from it. I was not quite sure what to make of the lists of odds ratios in the Peersman paper. I guess we could use
some kind of decomposition method to see how much of the sex differences in e.g. care receiving that could be attributed to gendered differences in the factors considered when answering the questions – but chances are that would leave us with another black
box of mostly “unexplained variance”. Anyways, I would like to hear more about your ideas as to how we would analyse the data, and what we would learn from it.<o:p></o:p></li></ol>
<p class="MsoListParagraphCxSpMiddle"><o:p> </o:p></p>
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<li class="MsoListParagraphCxSpMiddle" style="margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
I was also wondering if there aren’t ways of using already collected data to analyse these kinds of questions (not exhaustively by any means, but partly): To what extent can sex differences in SRH be attributed to the presence of chronic diseases? Are there
gendered differences in the socioeconomic correlates of education (e.g. do men with higher education also have higher incomes and more wealth)? To what extent can sex differences in ‘generic’ answers on care be explained by the actual tasks that are being
conducted? I’m not sure to what extent this has already been done – or to what extent the necessary data is available in the data sets we have access to. I also realize that this would partly answer different questions than the proposed survey would – but
it is something that could be started instantly.<o:p></o:p></li></ol>
<p class="MsoListParagraphCxSpLast"><o:p> </o:p></p>
<p class="MsoNormal">Anyways, those were my initial thoughts. I look forward to discussing this further with you.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">All the best,<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Stefan<o:p></o:p></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b><span lang="SV">Från:</span></b><span lang="SV"> Futuregen <futuregen-bounces@euro.centre.org>
<b>För </b>Ricardo Rodrigues<br>
<b>Skickat:</b> den 9 februari 2021 14:37<br>
<b>Till:</b> futuregen@euro.centre.org<br>
<b>Ämne:</b> Re: [Futuregen] very rough idea re indicators study, WP3<o:p></o:p></span></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Dear Susan,<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Thank you very much for this and for the Peersman paper you attached.<o:p></o:p></p>
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<p class="MsoNormal">I think your general idea really addresses the issue of indicators or definitions of health, care and even SES from a gender perspective. In other words very much in line with what we aimed to do in FutureGEN. Plus, I like the ideas you
propose too.<o:p></o:p></p>
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<p class="MsoNormal">I added some comments, which I realize that at this early stage are likely to be contradictory here and there. :)<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Two main questions from me at this stage:<o:p></o:p></p>
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<p class="MsoNormal">i) Managing the complexity of assessing misclassification of SES AND health at the same time, in an international study/context. I like both ideas, but wonder if it will be feasible. I added some comments.<o:p></o:p></p>
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<p class="MsoNormal">ii) Methods: I think what you want to capture may be too complex to be fully described by quantitative methods alone. Even before reading Peersman, I was thinking that this would be very suitable for a qualitative study, or at least a mixed-methods
approach (perhaps a slightly even more sophisticated one that Peersman).<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Hope the comments help!<o:p></o:p></p>
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<p class="MsoNormal">Best wishes,<o:p></o:p></p>
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<p class="MsoNormal">Ricardo<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">On 26/01/2021 15:53, Susan Phillips wrote:<o:p></o:p></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif">Hi everyone,<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif">I am attaching preliminary thoughts about this study. I have done a more thorough, although not a comprehensive literature search and have only found one paper that attempts to define whether
women and men see indicators differently. This could mean we have something to contribute but also could mean that the idea has not been seen as important and isn't. Of course I favour the first!<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif">I have also done more investigating about Sensemaker and am inclined to think it is more of a gimmick than a research tool and that we could just use a survey. Janet and I will talk more about
this today.<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif">Please do read and critique if you have a chance and I hope we can talk about this at our next meeting.<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif">Susan<o:p></o:p></span></p>
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<p class="MsoNormal"><br clear="all">
<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">-- <o:p></o:p></p>
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<p class="MsoNormal">Susan Phillips MD, CCFP<o:p></o:p></p>
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<p class="MsoNormal">Rosser Research Chair, Professor, and Research Director<o:p></o:p></p>
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<p class="MsoNormal">Director: Centre for Studies in Primary Care<o:p></o:p></p>
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<p class="MsoNormal">Director QuARMS<o:p></o:p></p>
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<p class="MsoNormal">Queen's U. Family Medicine<o:p></o:p></p>
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<p class="MsoNormal">220 Bagot St,<o:p></o:p></p>
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<p class="MsoNormal">Kingston K7L 5E9, ON, Canada<o:p></o:p></p>
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<p><o:p> </o:p></p>
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