Original DOI Research Articles

Corrigendum

Jamieson, G. A., & Skraaning, G. (2017). Levels of automation in human factors models for automation design: Why we might consider throwing the baby out with the bathwater. Journal of Cognitive Engineering and Decision Making. Advance online publication. (Original DOI: 10.1177/1555343417732856) Kaber, D. B. (2017). Reflections on commentaries on “Issues in human–automation interaction modeling.” Journal of Cognitive Engineering and Decision Making. Advance online publication. (Original DOI: 10.1177/1555343417749376) In the OnlineFirst version of the article “Levels of Automation in Human Factors Models for Automation Design: Why We Might Consider Throwing the Baby Out With the Bathwater,” published in this issue, the last line of Table 1 listed a value of “–1” in the SA column. This should be “1.” The erroneous value was referred to in the OnlineFirst version of the article “Reflections on Commentaries on ‘Issues in Human–Automation Interaction Modeling.’” Both have been corrected for the online and print versions of the articles.

Corrigendum.

Kostopoulos E, Agiannidis C, Konofaos P, et al. Predictable pattern digital artery perforator flap: an alternative concept in digital reconstruction. Hand (N Y). 2016;11:88-96. (Original DOI: 10.1177/1558944715614839) In the above-referenced article, the authors' first names and surnames were incorrectly listed. The corrected author names are presented below: Epameinondas Kostopoulos, Christos Agiannidis, Petros Konofaos, Avraam Dounavis, Othon Papadopoulos, and Vincent Casoli.

Corrigendum

Allison, Paul D., Richard Williams, and Enrique Moral-Benito. 2017. “Maximum Likelihood for Cross-lagged Panel Models with Fixed Effects.” Socius: Sociological Research for a Dynamic World 3:1–17. (Original DOI: 10.1177/2378023117710578) In this article, there is an error in the R code shown on pp. 15–16, such that the code displayed there produces noticeably different results from those of the other three packages. The authors have prepared a revised R code that does produce the right results, and have included it below as well as online at https://www3.nd.edu/~rwilliam/dynamic/lav_Socius.R .

Erratum.

Mayer KH, Loo S, Crawford PM, et al. Excess clinical comorbidity among HIV-infected patients accessing primary care in US community health centers. Public Health Rep. 2018;133:109-118. (Original DOI: 10.1177/0033354917748670) In the above referenced article, Table 3 was published with duplicate information in the initial OnlineFirst version. The correct Table 3 is given below. The article, as published in volume 133, issue 1, reflects the corrected table. [Table: see text].

Erratum

Bauer, Paul C. 2018. “Unemployment, Trust in Government, and Satisfaction with Democracy: An Empirical Investigation.” Socius: Sociological Research for a Dynamic World 4:1-14. (Original DOI: 10.1177/2378023117750533) In this article, two errors appear in the published version: • The citation for Bisgaard 2015 on page 8 should have been for Bisgaard, Sønderskov, and Dinesen, 2016. The full reference is as follows: Bisgaard, Martin, Kim M. Sønderskov, and Peter T. Dinesen. 2016. “Reconsidering the Neighborhood Effect: Does Exposure to Residential Unemployment Influence Voters’ Perceptions of the National Economy?” The Journal of Politics 78(3): 719-732. • In Tables 3 and 4, the table note “Heteroscedastic/autocorrelation robust standard errors are in parentheses” should have read “Standard errors are in parentheses.”

Corrigendum

Atteberry, A., Loeb, S., & Wyckoff, J. (2017). Teacher churning: Reassignment rates and implications for student achievement. Educational Evaluation and Policy Analysis, 39, 3–30. (Original DOI: 10.3102/0162373716659929)

Corrigendum.

Alves, E., Magano, R., Amorim, M., Nogueira, C., & Silva, S. (2016). Factors influencing parent reports of facilitators and barriers to human milk supply in neonatal intensive care units. Journal of Human Lactation, 32(4), 695-703. (Original DOI: 10.1177/0890334416664071) On page 696, data were incorrectly reported in the sentence, "Among the 126 families eligible for the study, 122 (98.6%) agreed to participate, including 120 mothers and 91 fathers (Figure 1)." The corrected sentence is provided below: Among the 126 families eligible for the study, 122 (96.8%) agreed to participate, including 120 mothers and 91 fathers (Figure 1).

Erratum.

Lambert PR, Silverstein H, LeBel C, Bishop K. OTO-104 in Ménière's disease patients: phase 3 results. Otolaryngol Head Neck Surg. 2017;157:P122-P123. (Original doi: 10.1177/0194599817717251f) This Oral Presentation abstract should have included a note indicating that it was withdrawn during production of the issue. The online version has been updated to include this note.

Erratum.

Vall EA, Kibbe DL, Greene C, Smith KS, O'Connor JC. Leading the way in preventing childhood obesity in Georgia. Public Health Rep. 2017;132(suppl 2):3S-6S (Original DOI: 10.1177/0033354917722993) In the above referenced article, the author names were originally listed in the incorrect order. The correct order is given above. The order has also been corrected online and in print.

Corrigendum to “The Complicated Partisan Effects of State Election Laws”

Burden, Barry C., David T. Canon, Kenneth R. Mayer, and Donald P. Moynihan. 2017. “The Complicated Partisan Effects of State Election Laws.” Political Research Quarterly 70 (3): 564–76. (Original DOI: 10.1177/1065912917704513)

Erratum.

Yao H, Lu H, Zhao H, et al. Open reduction assisted with an external fixator and internal fixation with calcaneal locking plate for intra-articular calcaneal fractures. Foot Ankle Int. 2017;38(10):1107-1114. (Original DOI: 10.1177/1071100717715908) The above article appeared with the incorrect corresponding author. The correct corresponding author is Huading Lu, PhD. The corrected corresponding author information is below: Corresponding Author: Huading Lu, PhD, Department of Orthopaedics, The Fifth Affiliated Hospital of Sun Yat-sen University, NO. 52 Meihuadong Road, Zhuhai 519000, China. Email: johnnie.lu@163.com.

Corrigendum to “Who Favors al-Qaeda? Anti-Americanism, Religious Outlooks, and Favorable Attitudes toward Terrorist Organizations”

Ciftci, Sabri, Becky O’Donnell, and Allison Tanner. 2017. “Who Favors al-Qaeda? Anti-Americanism, Religious Outlooks, and Favorable Attitudes toward Terrorist Organizations.” Political Research Quarterly 70 (3): 480–94. (Original DOI: 10.1177/1065912917702498)

Corrigendum.

Evans, E.C., Deutsch, N.L., Drake, E., and Bullock, L. (2017). Nurse-Patient Interaction as a Treatment for Antepartum Depression: A Mixed-Methods Analysis. Journal of the American Psychiatric Nurses Association, 23, 347-359. (Original doi: 10.1177/1078390317705449) In the September/October issue of JAPNA the reference for Peplau (1997) was incorrectly listed and cited throughout the paper. This has been updated in the online version. The correct reference should have been: Peplau, H. E. (1952). Interpersonal relations in nursing: A conceptual frame of reference for psychodynamic nursing. New York: Putnam.

Erratum.

Beck J, Greenwood DA, Blanton L, et al. 2017. National standards for diabetes self-management education and support. Diabetes Educ. 2017;43(5):449-464. (Original DOI: 10.1177/0145721717722968) In the October 2017 issue of The Diabetes Educator, the 2 opening paragraphs of the article contained errors. In addition, for author Ardis A. Reed, MPH, RD, LD, CDE, the correct affiliation should be listed as TMF Health Quality Institute, Austin, Texas. The corrected 2 opening paragraphs are as follows: By the most recent estimates, 30.3 million people in the United States have diabetes. An estimated 23.1 million have been diagnosed with diabetes and 7.2 million are believed to be living with undiagnosed diabetes. At the same time, 84.1 million people are at increased risk for type 2 diabetes. Thus, more than 114 million Americans are at risk for developing the devastating complications of diabetes. Diabetes self-management education and support (DSMES) is a critical element of care for all people with diabetes. DSMES is the ongoing process of facilitating the knowledge, skills, and ability necessary for diabetes self-care as well as activities that assist a person in implementing and sustaining the behaviors needed to manage his or her condition on an ongoing basis, beyond or outside of formal self-management training. In previous National Standards for DSMES (Standards), DSMS and DSME were defined separately, but these Standards aim to reflect the value of ongoing support and multiple services.

Donor open data policy and practice: an analysis of five agriculture programmes

Open data is a powerful tool for promoting more effective decision making, fostering innovation, and driving organisational change through greater transparency . Researchers in the agriculture sector are increasingly being encouraged to open data from their field research and activities in order to address the complex challenges around food security and sustainability. But as funding institutions introduce their own open data policies, researchers are now asked to respond to multiple requests and requirements. This research was commissioned by a group of donors – DFID (the UK Department for International Development), BMGF (the Bill and Melinda Gates Foundation), and USAID (the US Agency for International Development) – in order to understand the opportunities for donors to make open data implementation more efficient and streamlined for their implementing research partners. The hope is to identify patterns of good practice which donors, including those outside agriculture, can build upon and contribute to through further dialogue. The Open Data Institute and GODAN have conducted a review of policy and data quality in five jointly funded agriculture programmes in order to identify the opportunities for agriculture donors to align their approaches (see Section 3). This was supplemented by a series of interviews and surveys with stakeholders from donor and research partner organisations to gain an impression of how policies are being implemented, including the challenges associated with further adoption of open data (Sections 4 and 5, respectively). From this multi-faceted review of policy and practice, we found several opportunities where donors of agriculture research programmes can align. We call upon donors to: Join a global funder dialogue with other donors, researchers, and research institutions Support and adopt common policy principles Share approaches towards dealing with ethical considerations Promote good open data practice among those receiving funding by regularly monitoring compliance and articulating clear expectations regarding budget allocations to ensure open data Increase engagement and introduce practical projects to promote data reuse and innovation Collect data use stories to demonstrate value and impacts of research data Support the capacity of implementing research partners to improve data availability, accessibility, discoverability and quality Adopt shared guidelines, tools and templates aimed at reducing the time and cost of policy compliance Incentivise researchers to publish by rewarding good quality data production Sustainably resource data publication and management Furthermore, we call on all funders of agriculture research to join a global funder dialogue with donors and research institutions with the aim of advancing a shared set of principles and sharing good organisational practices, to underpin more harmonized open data implementation. Original DOI: 10.1079/CABICOMMS-80-70

Corrigendum

Jelani C Zarif, Heather J Chalfin, Phillip M Pierorazio and Michael A Gorin. Characterization of the macrophage infiltrate in a case of xanthogranulomatous pyelonephritis. Journal of Clinical Urology 2017. Epub ahead of print 16 June 2017 (Original doi: 10.1177/2051415817716014). The funding statement for this case report has been updated to read as follows: This study was supported the UNCF/Merck Postdoctoral Science Research Fellowship and Prostate Cancer Foundation Young Investigator award, both to JCZ. This study was also funded in part by a grant from the National Cancer Institute (P30CA006973).

Erratum.

Alghadir, A., Zafar, H., Iqbal, Z. A., Al-Eisa, E. (2017). Work-related low back pain among physical therapists in Riyadh, Saudi Arabia. Workplace Health & Safety, 65(8), 337-345. (Original DOI: 10.1177/2165079916670167). The following acknowledgment should have been included in this article. The text is included below. Acknowledgment The authors are grateful to the Deanship of Scientific Research, King Saud University for funding through Vice Deanship of Scientific Research Chairs.

A Global Data Ecosystem for Agriculture and Food

Agriculture would benefit hugely from a common data ecosystem. Produced and used by diverse stakeholders, from smallholders to multinational conglomerates, a shared global data space would help build the infrastructures that will propel the industry forward. In light of growing concern that there was no single entity that could make the industry-wide change needed to acquire and manage the necessary data, this paper was commissioned by Syngenta with GODAN’s assistance to catalyse consensus around what form a global data ecosystem might take, how it could bring value to key players, what cultural changes might be needed to make it a reality and finally what technology might be needed to support it. This paper looks at the challenges and principles that must be addressed in in building a global data ecosystem for agriculture. These begin with building incentives and trust – amongst both data providers and consumers – in sharing, opening and using data. Key to achieving this will be developing a broad awareness of, and making efforts to improve, data quality, provenance, timeliness and accessibility. We set out the key global standards and data publishing principles that can be followed in supporting this, including the ‘Five stars of open data’ and the ‘FAIR principles’ and offer several recommendations for stakeholders in the industry to follow. • Finding business models that provide incentives for various entities to collect and share data. If these models provide business value directly to the data providers, the quality of the collected data will be higher. • Leading by example by providing open data sources. Syngenta has already done this by publishing data about the results of its Good Growth Plan. • Encouraging data standards that make it easier to produce and share data. In doing so, stakeholders will need to have reasonable expectations of how these standards will be used. • Automating data collection. Automatically collected data is more likely to be accurate and precise than data collected by hand. • Annotating datasets. Even automatically collected data cannot be used if it is not described in a consistent and understandable way. • Following data sharing principles. The five-star maturity model and the FAIR principles provide guidelines for creating and sharing data. • Using the data. All of the best data sharing efforts have little impact if the data is not used in a productive way. Stakeholders must encourage a cottage industry of data-backed apps that get the most value from datasets. In response to the paper, four key organisations engaged in developing data infrastructures (CGIAR, Agrimetrics, ODI and AgroKnow) state what a common data ecosystem would mean to them. Original DOI: 10.1079/CABICOMM-79-12

Corrigendum to "Analgesic Effect of Maternal Human Milk Odor on Premature Neonates: A Randomized Controlled Trial".

Baudesson de Chanville, A., Brevaut-Malaty, V., Garbi, A., Tosello, B., Baumstarck, K., Gire, C., & Le Cozannet, R. (2017). Analgesic effect of maternal human milk odor on premature neonates: A randomized controlled trial. Journal of Human Lactation, 33(2), 300-308. (Original DOI: 10.1177/0890334417693225) In this article that appeared in the May 2017 issue of Journal of Human Lactation, the following corrections are required due to an inadvertent omission by the research team authoring the paper. 1) Dr. Romain Le Cozannet has been added as an author. The corrected author list is as follows: Audrey Baudesson de Chanville, MD, Véronique Brevaut-Malaty, MD, Aurélie Garbi, MD, Barthelemy Tosello, MD, PhD, Karine Baumstarck, MD, PhD, Catherine Gire, MD, and Romain Le Cozannet, PhD 2) At the time this study was conducted, Dr. Le Cozannet was the scientific coordinator for Aroma Therapeutics in Marseille, France. The funding statement has been amended to include Aroma Therapeutics, which provided materials and technical and scientific support for this study. The corrected funding statement is also provided as follows: Funding The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by institutional grants from the French 2013 Appel d'Offre Recherche Clinique Assistance Publique, Hôpitaux de Marseille. The sponsor was represented by Assistance Publique, Hôpitaux de Marseille, France, whose role was to control the appropriateness of ethical and legal considerations. Aroma Therapeutics provided materials and technical and scientific support for this study.

Corrigendum to “Workplace Lactation Support in Milwaukee County 5 Years After the Affordable Care Act”

Lennon, T., Blackwell, D., & Willis, E. (2017). Workplace lactation support in Milwaukee county 5 years after the Affordable Care Act. Journal of Human Lactation, 33(1), 214-219. (Original DOI: 10.1177/0890334416679617) In this article that appeared in the February 2017 issue of Journal of Human Lactation, the following corrections are required due to an inadvertent omission by the research team authoring the paper. 1) Dalvery Blackwell has been added as an author. The corrected author list is as follows: Tyler Lennon, BS, Dalvery Blackwell, BA, IBCLC, and Earnestine Willis, MD, MPH 2) The authors sincerely appreciate the significant contribution that the African American Breastfeeding Network (AABN) had in this project that resulted in a publication and wish to acknowledge them for their outstanding efforts in the Milwaukee communities. The authors regret not providing an authorship to the AABN with the original manuscript submission.