Peer Review History
| Original SubmissionMarch 4, 2020 |
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PONE-D-20-06320 Towards capability-adjusted life years in public health and social welfare: Results from a Swedish survey on ranking capabilities PLOS ONE Dear Dr. Meili, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. Please submit your revised manuscript by Aug 23 2020 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript:
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Please ensure you have provided sufficient details to replicate the analyses such as: a) the recruitment date range (month and year), b) a description of any inclusion/exclusion criteria that were applied to participant recruitment, c) a table of relevant demographic details. 4. We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. For more information on unacceptable data access restrictions, please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. In your revised cover letter, please address the following prompts: a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially sensitive information, data are owned by a third-party organization, etc.) and who has imposed them (e.g., an ethics committee). 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Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Partly Reviewer #2: Partly Reviewer #3: Partly ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: No Reviewer #2: No Reviewer #3: No ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: Thank you or the opportunity to review the paper, which aims to rank the importance of capabilities and to indicate relevant capabilities for the Swedish context. The paper is part of a larger project that aims to develop a measure for quality of life for policy making based on the CALYs framework. I think this is an important area of research but I believe the authors need to provide some further clarification and justification points for their chosen approaches, which are not only of importance for the current paper but the project overall. I have two major concerns related to the concept of CALYs as well as the methodology applied in this study. Regarding the CALY concept, the authors criticize the QALY framework because it is limited to health. However, this is only partly correct. Since the QALY framework is based on the extra-welfarism approach, it can include also non-health benefits (see discussion by Brouwer et al. 2008). The problems is the operationalisation of the current QALY framework, where existing preference-based measure have a strong focus on health. However, this is not a limitation of the QALY framework but rather an issue with existing measures. Indeed, the authors suggest to develop a new measure that consist of 5 capability dimensions and 3 levels and will be valued using DCE and TTO, similar to the EQ-5D, which rather sounds that the authors propose a new preference-based measure, which could easily be implemented into the QALY framework. Secondly, the authors propose the collapsing of multidimensional capabilities information into a single index score using preference-based valuation techniques, which is in tension with Sen’s capability approach but not discussed by the authors. I guess these are comments related to the project overall but also relevant to understand the current paper. My second major concern relates to the methods applied in this study. Firstly, it is generally known in the capability literature that the selection of capabilities needs to be context specific, and derived from a participatory approach. The authors state that the 10 capabilities were based on a review but it sounds like no interviews with members of the Swedish population have been undertaken. Secondly, the ranking exercise was conducted with researchers and doctoral students in health-related disciplines rather than member of the general population who may hold very different views. Finally, the authors conclude that the ranking results show that it is possible to discriminate between capabilities but fail to acknowledge the limitations of the ranking exercise. Previous literature discussed that ranking exercises do not involve trade-offs and, as such, respondents tend to ignore relative importance and say that everything is important, giving rise to ceiling effects. Minor comments: Introduction: • On page 3, line 55, the authors mention valuable aspects that are currently omitted but do not discuss what these aspects are. Could the authors elaborate on that further? • A further elaboration on QALYs and how they are derived is needed in the introduction. • Line 76: could the authors discuss how Cookson’s interpretation of ‘capability QALYs’ is similar or differs to CALYs? • The rationale for this study was not clear and how it will contribute to the overall project. Suggest re-phrasing the aims of this study in a more clear way. Methods: • Why did the authors choose researchers and doctoral students in health-related disciplines rather than member of the general population who may hold very different views? • Why did the authors decide to use a ranking exercise over and above other techniques? • The exclusion of participants due to reverse ranking of importance according to health is not clear and not enough justified. I think it is legitimate that some people may prefer other aspects more than health. Discussion: • The authors conclude that health was found to be the most important capability. However, I wonder to what extent this is driven by the exclusion of participants based on reverse ranking of importance according to health? • It is not clear how the results of this study will be used. What is the contribution of this paper to the overall project, especially considering the fact that a valuation study (using DCE and TTO) will be used in future. Reviewer #2: The study entitled “Towards capability-adjusted life years in public health and social welfare: Results from a Swedish survey on ranking capabilities” is relevant and provides an interesting concept to the reader. It addresses a noteworthy topic of capability-adjusted life years for supporting public health policies. Please find enclosed my comments. Abstract: The abstract reads fine, However, the authors mentioned that “overall purpose is to develop a measure for quality of life for policy making based on the capability approach by Amartya Sen”. The reader could be confused that the authors have developed the measure. If the authors would like to put developing the measure as their overall goal, they should at least mention the steps for doing so and the steps needed until they reach this purpose, however, that was out of the scope of this paper. I recommend to re-formulate this section, and to be more focused and clearer, e.g. the purpose is to provide the initial steps/evidence for developing a measure for quality of life for policy making based on the capability approach by Amartya Sen. Introduction: Please highlight the gap in literature and why this study is needed before the aim of the study by the end of introduction. The Author could better tackle the rational of the study with using ranking to develop the measure, in other words, why ranking is important step for developing a measure for quality of life for policy making based on the capability approach. In lines 55-56, the authors mentioned “Current approaches may omit valuable aspects and impacts and may fail to consider equity goals.” Please add the relevant references and clarify what are the current approaches accordingly. Although the overall purpose was to contribute in developing a measure for quality of life, the authors didn´t have enough background about QoL and its main domains (e.g. according to the WHO) as well as and its measures. Also, QALYs and how it is linked with the capability approach. It is also important to add evidence about the use and how comparable or different CALYs and QALYs, that will clarify and strengthen the rational of the study. The authors have only pointed out very briefly about EQ-5D-3L. Lines 119-120 “We envision a structure for CALY states that consists of 5 capability dimensions and 3 levels of achievement, totalling 243 possible states”. Its not clear how the 243 based on the 5 capabilities and 3 levels was reached. Please clarify. From line 128 to 131 “ We found that ranking capabilities is feasible and that health, social relations, and financial situation were ranked highest by a non representative sample of researchers and doctoral students in health-related disciplines at five Swedish universities”, this paragraph should not be in the introduction, it is a finding so I recommend to move it to the discussion or results sections. Methods: Line 136, the author mentioned about piloting purposes, did the author do a pilot study or what did they mean in this section? a Pilot study is performed in a very small scale to be able to develop and improve the actual study on a full scale. Please clarify. Regarding the study population what was the rational behind selecting the sample from health-related disciplines, and what does that means for the results?, because it is very important to reflect all views of capabilities in this ranking given that health related population might rank capabilities differently from the general population. Would the authors expect different results from different populations characteristics? Please provide information about sampling technique (e.g. convenience, random,..). Did the authors calculate a sample size? Statistical analysis: Line 203, “We calculated means and medians per strata” which strata?, in order to be clear, the authors can mention here the stratification done by gender, research field, and age group. Results: The number 115 was the sum of 112 who fulfilled the task correctly + 3 imputed responses. In this regard, line 215, it´s not clear where were the 28 respondents (17%) excluded from, and on which group did the authors perform their sensitivity analysis? What is the rationale behind presenting both mean and median rank? Shouldn´t that be determined according to the data distribution and then choosing mean or median whichever would be meaningful for the data, what do the authors think about that? In Table 1, some items are hidden visually within the table e.g. Political rights, please adjust. In Table 1, what does it mean for the results that the ranked 1 to 5 column showing occupation less than time, security, and political rights, yet for the win count balance occupation was higher eventually? Discussion: Implication of this study and how it provides evidence and a step forward for developing CALYs needs to be emphasized. How the study with its ranking strategy would contribute to the ultimate goal of developing a measure for quality of life based on capability approach, and what are the future needed steps? Why the authors have focused on the top ranked 5 and not 6 or7? Limitations: The limitations mentioned by the authors were clear, however, lines from 388-392, didn´t seem like they belong in the limitations, e.g. “an info about exploring the calculation of CALY weights in a web-based survey among 2,000 Swedish residents”, this important statement should be discussed in the discussion instead including how that impact this study. Overall, the study is well written and provide resources for the most important needed domains of capabilities, However, it needs to be very clear within the paper how this step contributes to the overall development of CALYs. Reviewer #3: This paper reports results from a ranking exercise, undertaken by academics working in health related disciplines at five universities across Sweden. 10 broad reaching attributes (interpreted as capabilities) are identified from a Government review, for inclusion within the ranking exercise. There is an aspiration to eventually develop a five dimension measure, with a scoring system, which can be used to calculate capability-adjusted life years. Whilst I support the rationale for developing such a measure, and whilst I agree that a case could be made for narrowing down the initial list of 10 capabilities to a manageable number through such a ranking exercise (with expert participants), I felt that there were a number of significant issues with the framing, methods, interpretation and contribution of the manuscript as it currently stands. Given the significance of these issues, I will not pick up on many specific points relating to presentation, but in relation to presentation, I will very briefly add that the message was unclear on page 4 (lines 85 to 89) and on page 5 (lines 115 to 118), and these sections will need to be rephrased to ensure clarity when resubmitting any future draft. Framing and motivation: - I felt that more information is needed about how the list of 10 capabilities were initially identified. I appreciate that this work was completed by external agencies and that a reference is given, but I had no idea why or how the 10 capabilities were identified or indeed how valid the process was. These 10 capabilities are the starting point/foundation for everything that the research team report here. Were they interpreted as capabilities by the agency that undertook work to identify them? On what basis did the research team come up with the short descriptions for the 10 attributes? - What was the justification for (exclusively) recruiting health-related academics to complete the weighting task? Why not health/public health experts working in public sector/Government/local authority agencies? Why were health academics deemed to have an exclusively relevant perspective? - Linked to the previous point, the researchers appear to have an a priori assumption that health should (perhaps even must) appear in the top 5, but little justification is given for this. I fear this a priori belief biases their perspective, with the suggestion that those academics not ranking health highly misinterpreted the scale. If there is a starting position that health should be in the top 5, why not simply include it - why was it decided that 5 attributes were needed? This seems entirely arbitrary. The problem with this methodology is that it gives you no information on the relative VALUE of attributes and no information to decide whether 4 or 5 or 6 attributes stand out as being really important; so it relies on an arbitrary a priori decision. Methods: - It is not clear what background academics were given as to the nature of the task and why the ranking exercise was being undertaken. What perspective were academics asked to adopt (personal or societal)? Were they told what the short list of attributes would be used for? Were they expected to consider the policy agenda or things such as the current financial and environmental climate? - This is a fundamentally basic task (OK, it requires people to make complex value judgements, but technically, a ranking task should be straightforward for an academic sample) and yet a third of respondents 'got it wrong'. I find this worrying and it needs further consideration and discussion. Results: - For such a simple task, the analysis is rather complicated! Numerous means of ranking attributes are reported but no indication is given as to which is most useful or most valid. It is seemingly entirely exploratory, but then there is seemingly also no conclusion / no recommendation from the work? Discussion / conclusion: - I am at a bit of a loss to see what the take home message of this paper is? The methods appear problematic, there is no clear recommendation of which five attributes should be taken forward to develop into a measure. It appears that other methods and other samples have been used to address the same question, but no indication of whether that gives us a definitive conclusion either. So I cannot see how any of the research results presented actually inform the overall research objective / future aspirations? Indeed the authors seem unsure themselves saying "This result may inform the continued development of the CALY measure". ********** 6. 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| Revision 1 |
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Towards capability-adjusted life years in public health and social welfare: Results from a Swedish survey on ranking capabilities PONE-D-20-06320R1 Dear Dr. Meili, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Paul Anand Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The authors have addressed all my comments as well as the comments from other reviewers. The clarity of the paper has improved and the authors have acknowledged important limitations of their study. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No |
| Formally Accepted |
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PONE-D-20-06320R1 Towards capability-adjusted life years in public health and social welfare: Results from a Swedish survey on ranking capabilities Dear Dr. Meili: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Professor Paul Anand Academic Editor PLOS ONE |
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