Peer Review History
| Original SubmissionMay 14, 2020 |
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PONE-D-20-11538 Implementation of a complex intervention to improve care for patients whose situations are clinically uncertain in hospital settings: a mixed method study using normalisation process theory PLOS ONE Dear Dr. Johnson, 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 August 20th. 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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The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and 2. Please ensure that you refer to Figure 2 in your text as, if accepted, production will need this reference to link the reader to the figure. 3. Please include a copy of Table 4 which you refer to in your text on page 20. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. 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 Reviewer #2: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: N/A Reviewer #2: N/A ********** 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: Yes Reviewer #2: 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 ********** 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: There are no statistical concerns as there is very limited to none quantitative analyses. However, the authors may want to clarify the quantitative phase of the mixed methods approach. The quantitative data collection and analyses is unclear and study seems more of a qualitative study. Reviewer #2: Thank you for asking me to review this very interesting and well-written paper. I really enjoyed reading it. For the editor’s benefit I should make clear my conflicts of interest at the outset. My first conflict of interest is that I have led the programme of empirical research and theoretical development that led to Normalisation Process Theory, which is employed as the conceptual framework in this manuscript. My second conflict of interest is that I have also jointly led a programme of research in the closely related area of treatment escalation plans that has used a similar method (notes review doi: 10.1136/bmjopen-2018-022021; and qualitative process evaluation https://www.sciencedirect.com/science/article/pii/S0277953620303622) formed around a similar theoretical framework. My comments on this paper are as follows, 1. Introduction 1.1. This is a very interesting and well written paper which deals with a highly complex problem: forming and shaping decision-making processes as people with complex diseases that sometimes include problems of decisional capacity progress towards end of life. 1.2. The AMBER Care bundle is a widely used to support professionals, patients and families in this context. I think it would be helpful to the reader to do more work at the front end of the paper that describes both the intervention, and the ensemble of practices that using it puts in train. The introduction assumes a fairly well-informed reader. I think you can also frame this as a representative of a class of interventions (decision-making tools) that have a complex and contested history in end of life care – AMBER (along with UFTO and ReSPECT) make sense only if we know a little of the of the interactional context missing here. 1.3. I wonder if it might also be helpful to consider very briefly in the introduction some of the interactional problems that follow from negotiating decisions about end of life care. There is a large literature on this, and I think it would be helpful to think about the context in which AMBER and is operationalised. These a both organisationally and interactionally fragmented, and they are definitely not cognitively or affectively neutral. Again, this is context is important if the reader is to make sense of the assertion that clinical and contextual equipoise is present. 2. Methods 2.1. This is a really interesting study design, that could do with just a little elaboration. My concern here is that it is stated that this is a mixed methods study in which qualitative and quantitative data were collected in parallel and then a form of integrative analysis was undertaken. It is not clear to the read what the quantitative data is. Was it extracted from the notes review. Or, is the mixed methods design the feasibility trial plus the qualitative data. I’m not sure which it is. This is a simple matter to solve. 2.2. Qualitative data was collected from two sites. Although it’s stated that details of site selection are available elsewhere, it would be useful to have at least a precis of this here. This is important because the qualitative work reported here is drawn from two sites only. Are these the only sites at which qualitative data were collected? Or are some data (e.g. notes review) drawn from all sites? Was there a comparative element to site selection (e.g. good and bad CQC ratings)? 2.3. My understanding is that ‘saturation’ is a criterion applied to interpretive data collection in grounded theory studies, especially those using the constant comparative method. But you also say that you used framework analysis. I think we just need a couple of sentences to say how using these to techniques together worked. 3. Results 3.1. In the introduction to results you again say that a mixed methods study was performed. Again, I can see that several qualitative techniques were used, but conventionally ‘mixed methods’ is used to signify qualitative plus quantitative data and analyses so this is something that needs to be made clear. 3.2. I like the results section very much. I think the really important result that you draw attention to is that a new category of patient—the ‘clinically uncertain’ patient—is defined and brought into service, as a proxy for the patient who is likely to die. We found something similar in our study of the ReSPECT Treatment Escalation Plan, which is that when our key informants talked about clinically uncertain patients their examples were of people they believed were likely to die. Although I think that prognostic uncertainty is important here, and alternative interpretation is that these tools are intended to be used by different professional groups and hierarchies and that the category ‘clinically uncertain’ permits a high level of flexibility about their use. So, implementing the decision-tool depends to some extent on implementing a new category of patients. (This speaks to the NPT sub-construct of differentiation.) 4. Discussion 4.1. I wonder if Table 5 should be in the discussion rather than the results section? 4.2. I really like figure 2 and I really like table 3: I did wonder if they overlapped a bit , and whether it would work better to just have figure 2? 4.3. In the strengths and limitations section it is stated (i) that restricting the study to two sites, and (ii) the absence of nursing representation in a focus group limit the transferability of the findings. I’m not sure that they do. This study explores a common problem and its management. Janice Morse introduced the concept of ‘theoretical generalisability’ in qualitative research, and well theorised studies of common problems often have a very high level of transferability. After all, we’re still using fundamental concepts from Glaser and Strauss 60 years after their empirical research on awareness contexts and the dying patients was conducted in single wards at three general and one VA hospital in San Francisco. ********** 6. 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 Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. |
| Revision 1 |
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Implementation of a complex intervention to improve care for patients whose situations are clinically uncertain in hospital settings: a multi-method study using normalisation process theory PONE-D-20-11538R1 Dear Dr. Johnson, 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, Alessandra Solari, M.D. Academic Editor PLOS ONE |
| Formally Accepted |
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PONE-D-20-11538R1 Implementation of a complex intervention to improve care for patients whose situations are clinically uncertain in hospital settings: a multi-method study using normalisation process theory Dear Dr. Johnson: 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 Dr. Alessandra Solari Academic Editor PLOS ONE |
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