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MEDLIB-L  September 2019, Week 3

MEDLIB-L September 2019, Week 3

Subject:

[bims-librar] 2019-09-15, eighteen selections

From:

Thomas Krichel <[log in to unmask]>

Reply-To:

Thomas Krichel <[log in to unmask]>

Date:

Sun, 15 Sep 2019 05:34:57 +0000

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bims-librar       Biomed News on Biomedical librarianship
─────────────────────────────┐
Issue of 2019‒09‒15          │ 
eighteen papers selected by  │
Thomas Krichel (Open Library │
 Society)                    │
 http://e.biomed.news/librar │
                             │
                             │
                             └──────────────────────────────────────────────────
────────────────────────────────────────────────────────────────────────────────

 1. Classification of the journal category "oral surgery" in the Scopus 
     and the Science Citation Index Expanded: flaws and suggestions.
 2. A Tool That Assesses the Evidence, Transparency, and Usability of 
     Online Health Information: Development and Reliability Assessment.
 3. Searching for Health: Doctor Google and the Shifting Dynamics of the 
     Middle-Aged and Older Adult Patient-Physician Relationship and 
     Interaction.
 4. Differences in Health-Related Social Media Usage by Organizations and 
     Individuals.
 5. Consumers' Information-Seeking Behaviors on Dietary Supplements.
 6. Sudden Infant Death Syndrome and Safe Sleep on Twitter: Analysis of 
     Influences and Themes to Guide Health Promotion Efforts.
 7. The necessity to develop a national classification system for Iranian 
     traditional medicine.
 8. Online Health Information Seeking Among US Adults: Measuring Progress 
     Toward a Healthy People 2020 Objective.
 9. Online Information About Periviable Birth: Quality Assessment.
10. Analysis of Internet searches using Google trends to measure interest 
     in sun protection and skin cancer in selected South East Asian 
     populations.
11. Internet use for family carers of people with intellectual 
     disabilities: A literature review and thematic synthesis.
12. Moving Beyond the Gym: A Content Analysis of YouTube as an 
     Information Resource for Physical Literacy.
13. Identifying Consumers Who Search for Long-Term Care on the Web: 
     Latent Class Analysis.
14. Health Information-Seeking Behaviors of Family Caregivers: Analysis 
     of the Health Information National Trends Survey.
15. Social Media Outrage in Response to a School-Based Substance Use 
     Survey: Qualitative Analysis.
16. Varicocele Embolization: An assessment of the Quality and Readability 
     of Online Patient Information.
17. Social media etiquette in medicine.
18. BioBERT: a pre-trained biomedical language representation model for 
     biomedical text mining.

────────────────────────────────────────────────────────────────────────────────

                    J Korean Assoc Oral Maxillofac Surg. 2019 Aug;45(4): 186-191
 1. Classification of the journal category "oral surgery" in the Scopus 
     and the Science Citation Index Expanded: flaws and suggestions.
   Kim SG
  Objectives: The aim of this study was to evaluate the journal category "oral 
  surgery" in Scopus and in the Science Citation Index Expanded (SCIE).
   Materials and Methods: The Journal of Oral and Maxillofacial Surgery (JOMS), 
  The Journal of the Korean Association of Oral and Maxillofacial Surgeons 
  (JKAOMS), and The Journal of Prosthodontic Research (JPR) were selected from 
  the Scopus list of journals as oral surgery journals. Maxillofacial Plastic 
  and Reconstructive Surgery (MPRS) was selected from PubMed as a Scopus oral 
  surgery title. From these titles, 10 recently published articles were 
  collected and used for reference analysis.
   Results: The percentage of citations from oral surgery journals was 26.7%, 
  24.5%, and 40.1% for JKAOMS, MPRS, and JOMS, respectively. In total, 1.1% of 
  JPR's citations were from oral surgery journals and significantly fewer from 
  other journals (P<0.001). The percentage of citations from dentistry 
  journals excluding oral surgery journals was 11.9%, 34.4%, and 15.8% for 
  JKAOMS, MPRS, and JOMS, respectively. For JPR, 80.6% of citations were from 
  dentistry journals and significantly more were from other journals (P<0.001).
   Conclusion: Selected samples revealed that JPR is incorrectly classified as 
  an oral surgery journal in Scopus. In addition, the scientific interaction 
  among JKAOMS, MPRS, and JOMS was different to JPR in the reference analysis.
   Keywords: Journal article; Journal impact factor; Oral cavity; 
    Periodicals; Surgery
  DOI: https://doi.org/10.5125/jkaoms.2019.45.4.186
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31508350

                                               JMIR Aging. 2018 May 07. 1(1): e3
 2. A Tool That Assesses the Evidence, Transparency, and Usability of 
     Online Health Information: Development and Reliability Assessment.
   Dobbins M, Watson S, Read K, Graham K, Yousefi Nooraie R, Levinson AJ
  BACKGROUND: The internet is commonly used by older adults to obtain health 
  information and this trend has markedly increased in the past decade. 
  However, studies illustrate that much of the available online health 
  information is not informed by good quality evidence, developed in a 
  transparent way, or easy to use. Furthermore, studies highlight that the 
  general public lacks the skills necessary to distinguish between online 
  products that are credible and trustworthy and those that are not. A number 
  of tools have been developed to assess the evidence, transparency, and 
  usability of online health information; however, many have not been assessed 
  for reliability or ease of use.
   OBJECTIVE: The first objective of this study was to determine if a tool 
  assessing the evidence, transparency, and usability of online health 
  information exists that is easy and quick to use and has good reliability. 
  No such tool was identified, so the second objective was to develop such a 
  tool and assess it for reliability when used to assess online health 
  information on topics of relevant to optimal aging.
   METHODS: An electronic database search was conducted between 2002 and 2012 
  to identify published papers describing tools that assessed the evidence, 
  transparency, and usability of online health information. Papers were 
  retained if the tool described was assessed for reliability, assessed the 
  quality of evidence used to create online health information, and was quick 
  and easy to use. When no one tool met expectations, a new instrument was 
  developed and tested for reliability. Reliability between two raters was 
  assessed using the intraclass correlation coefficient (ICC) for each item at 
  two time points. SPSS Statistics 22 software was used for statistical 
  analyses and a one-way random effects model was used to report the results. 
  The overall ICC was assessed for the instrument as a whole in July 2015. The 
  threshold for retaining items was ICC>0.60 (ie, "good" reliability).
   RESULTS: All tools identified that evaluated online health information were 
  either too complex, took a long time to complete, had poor reliability, or 
  had not undergone reliability assessment. A new instrument was developed and 
  assessed for reliability in April 2014. Three items had an ICC<0.60 (ie, 
  "good" reliability). One of these items was removed ("minimal scrolling") 
  and two were retained but reworded for clarity. Four new items were added 
  that assessed the level of research evidence that informed the online health 
  information and the tool was retested in July 2015. The total ICC score 
  showed excellent agreement with both single measures (ICC=0.988; CI 
  0.982-0.992) and average measures (ICC=0.994; CI 0.991-0.996).
   CONCLUSIONS: The results of this study suggest that this new tool is 
  reliable for assessing the evidence, transparency, and usability of online 
  health information that is relevant to optimal aging.
   Keywords: Consumer Health Information; Patient Education as Topic; Patient 
    Education as standards; consumer health standards; critical appraisal; 
    internet standards; knowledge translation; online health information; 
    reliability analysis
  DOI: https://doi.org/10.2196/aging.9216
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31518240

                                    J Aging Health. 2019 Sep 13. 898264319873809
 3. Searching for Health: Doctor Google and the Shifting Dynamics of the 
     Middle-Aged and Older Adult Patient-Physician Relationship and 
     Interaction.
   Huisman M, Joye S, Biltereyst D
  Objectives: While online health information (OHI) has become ubiquitous, 
  little is known about its use by middle-aged and older adults. This 
  contribution examines the role of OHI and its influence on the 
  patient-physician relationship. Method: This qualitative study reports the 
  thematic analysis of 40 semistructured, in-depth interviews with Flemish 
  middle-aged and older adults between the ages of 50 and 80 years. Results: 
  Middle-aged and older adults obtain OHI pre- and post-consultation, albeit 
  with different motivations and in search of different types of information. 
  Patients strategically and carefully introduce OHI in the clinical 
  encounter. "Doctor Google" expands the traditional patient-physician dyad 
  into an information triangle. Discussion: The findings have implications for 
  policy guidance and clinical practice. Public campaigns against "Googling" 
  for health information might have to be amended to be successful. 
  Importantly, physicians are increasingly expected to refer to and appraise 
  OHI and put it into the individual patient context.
   Keywords: Doctor Google; health information seeking; middle-aged adults; 
    older adults; online health information; patient–physician relationship
  DOI: https://doi.org/10.1177/0898264319873809
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31517558

                                                Telemed J E Health. 2019 Sep 09.
 4. Differences in Health-Related Social Media Usage by Organizations and 
     Individuals.
   Ahn J, Jeon YA, Murthy D
  Introduction: Social media is used as a tool for both information providers 
  and information consumers to disseminate and receive health information. 
  There is a dearth of research that compares the differences between 
  different types of health provider  Twitter posting styles, specifically 
  regarding the ways in which they communicate health information with the 
  public. This is particularly true for more localized studies that focus on 
  small data sets. Methods: Our study seeks to help fill this gap through an 
  exploration of emergent trends of social media use of small, but specific, 
  stakeholders in Texas, in the United States. Results: A content analysis of 
  health information providers' (individual, organizational, and governmental 
  groups) Tweets based on digital, ethnographic, and grounded theory methods 
  was performed to provide quantitative and qualitative findings in terms of 
  purpose, sentiment, visual features, tone of the Tweets, and public 
  engagement. Conclusions: The findings indicate how individual or 
  organizational users differentially use their Twitter accounts and open up a 
  discussion of what factors might influence effective communication with the 
  public.
  DOI: https://doi.org/10.1089/tmj.2019.0128
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31502933

                       Int Q Community Health Educ. 2019 Sep 12. 272684X19874967
 5. Consumers' Information-Seeking Behaviors on Dietary Supplements.
   Nathan JP, Kudadjie-Gyamfi E, Halberstam L, Wright JT
   Keywords: behavior; consumers; dietary; information; pharmacists; seeking; 
    supplements
  DOI: https://doi.org/10.1177/0272684X19874967
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31514581

                                  JMIR Pediatr Parent. 2018 Sep 07. 1(2): e10435
 6. Sudden Infant Death Syndrome and Safe Sleep on Twitter: Analysis of 
     Influences and Themes to Guide Health Promotion Efforts.
   Pretorius KA, Mackert M, Wilcox GB
  BACKGROUND: In the United States, sudden infant death syndrome (SIDS) is the 
  leading cause of death in infants aged 1 month to 1 year. Approximately 3500 
  infants die from SIDS and sleep-related reasons on a yearly basis. 
  Unintentional sleep-related deaths and bed sharing, a known risk factor for 
  SIDS, are on the rise. Furthermore, ethnic disparities exist among those 
  most affected by SIDS. Despite public health campaigns, infant mortality 
  persists. Given the popularity of social media, understanding social media 
  conversations around SIDS and safe sleep may assist the medical and public 
  health communities with information needed to spread, reinforce, or 
  counteract false information regarding SIDS and safe sleep.
   OBJECTIVE: The objective of our study was to investigate the social media 
  conversation around SIDS and safe sleep to understand the possible 
  influences and guide health promotion efforts and public health research as 
  well as enable health professionals to engage in directed communication 
  regarding this topic.
   METHODS: We used textual analytics to identify topics and extract meanings 
  contained in unstructured textual data. Twitter messages were captured 
  during September, October, and November in 2017. Tweets and retweets were 
  collected using NUVI software in conjunction with Twitter's search API using 
  the keywords: "sids," "infant death syndrome," "sudden infant death 
  syndrome," and "safe sleep." This returned a total of 41,358 messages, which 
  were analyzed using text mining and social media monitoring software.
   RESULTS: Multiple themes were identified, including recommendations for safe 
  sleep to prevent SIDS, safe sleep devices, the potential causes of SIDS, and 
  how breastfeeding reduces SIDS. Compared with September and November, more 
  personal and specific stories of infant loss were demonstrated in October 
  (Pregnancy and Infant Loss Awareness Month). The top influencers were news 
  organizations, universities, and health-related organizations.
   CONCLUSIONS: We identified valuable topics discussed and shared on Twitter 
  regarding SIDS and safe sleep. The study results highlight the contradicting 
  information a subset of the population is exposed to regarding SIDS and the 
  continued controversy over vaccines. In addition, this analysis emphasizes 
  the lack of public health organizations' presence on Twitter compared with 
  the influence of universities and news media organizations. The results also 
  demonstrate the prevalence of safe sleep products that are embedded in safe 
  sleep messaging. These findings can assist providers in speaking about 
  relevant topics when engaging in conversations about the prevention of SIDS 
  and the promotion of safe sleep. Furthermore, public health agencies and 
  advocates should utilize social media and Twitter to better communicate 
  accurate health information as well as continue to combat the spread of 
  false information.
   Keywords: Twitter; accidental suffocation in a sleeping environment; 
    health communication; infant mortality; public health; safe sleep; sleep 
    environment; social media; sudden infant death; sudden unexpected infant 
    death
  DOI: https://doi.org/10.2196/10435
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31518314

                                 Health Inf Manag. 2019 Sep 09. 1833358319872820
 7. The necessity to develop a national classification system for Iranian 
     traditional medicine.
   Safdari R, Rezaeizadeh H, Arji G, Abbassian A, Mokhtaran M, Dehghan R, 
   Shekalyou S
  BACKGROUND: Classification of disease and interventions in traditional 
  medicine (TM) is necessary for standardised coding of information. 
  Currently, in Iran, there is no standard electronic classification system 
  for disease and interventions in TM.
   OBJECTIVE: The current study aimed to develop a national framework for the 
  classification of disease and intervention in Persian medicine based on 
  expert opinion.
   METHOD: A descriptive cross-sectional study was carried out in 2018. The 
  existing systems for the classification of disease and interventions in TM 
  were reviewed in detail, and some of the structural and content 
  characteristics were extracted for the development of the classification of 
  Iranian traditional medicine. Based on these features, a self-administered 
  questionnaire was developed. Study participants (25) were experts in the 
  field of Persian medicine and health information management in Tehran 
  medical universities.
   RESULTS: Main axes for the classification of disease and interventions were 
  determined. The most important applications of the classification system 
  were related to clinical coding, policymaking, reporting of mortality and 
  morbidity data, cost analysis and determining the quality indicators. Half 
  of the participants (50%) stated that the classification system should be 
  designed by maintaining the main axis of the World Health Organization 
  classification system and changing the subgroups if necessary. A 
  computer-assisted coding system for TM was proposed for the current study.
   CONCLUSION: Development of this classification system will provide 
  nationally comparable data that can be widely used by governments, national 
  organisations and academic researchers.
   Keywords: classification; coding system; disease classification; health 
    information management; traditional medicine
  DOI: https://doi.org/10.1177/1833358319872820
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31500451

                                  Public Health Rep. 2019 Sep 12. 33354919874074
 8. Online Health Information Seeking Among US Adults: Measuring Progress 
     Toward a Healthy People 2020 Objective.
   Finney Rutten LJ, Blake KD, Greenberg-Worisek AJ, Allen SV, Moser RP, Hesse 
   BW
  OBJECTIVE: During the past decade, the availability of health information 
  online has increased dramatically. We assessed progress toward the Healthy 
  People 2020 (HP2020) health communication and health information technology 
  objective of increasing the proportion of health information seekers who 
  easily access health information online.
   METHODS: We used data from 4 administrations of the Health Information 
  National Trends Survey (HINTS 2008-2017) (N = 18 103). We conducted 
  multivariable logistic regression analysis to evaluate trends over time in 
  experiences with accessing health information and to examine differences by 
  sociodemographic variables (sex, age, race/ethnicity, education, income, 
  metropolitan status) separately for those who used the internet (vs other 
  information sources) during their most recent search for health information.
   RESULTS: Among US adults who looked for health information and used the 
  internet for their most recent search, the percentage who reported accessing 
  health information without frustration was stable during the study period 
  (from 37.2% in 2008 to 38.5% in 2017). Accessing information online without 
  frustration was significantly and independently associated with age 35-49 
  (vs age 18-34) (odds ratio [OR] = 1.34; 95% confidence interval [CI], 
  1.03 -1.73), non-Hispanic black (vs non-Hispanic white) race/ethnicity (OR = 
  2.15; 95% CI, 1.55-2.97), and annual household income <$20 000 (vs >$75 000) 
  (OR = 0.66; 95% CI, 0.47-0.93). The percentage of adults who used an 
  information source other than the internet and reported accessing health 
  information online without frustration ranged from 31.3% in 2008 to 42.7% in 
  2017. Survey year 2017 (vs 2008) (OR = 1.61; 95% CI, 1.09-2.35) and high 
  school graduate education (vs college graduate) (OR = 0.69; 95% CI, 
  0.49-0.97) were significantly and independently associated with accessing 
  health information without frustration from sources other than the internet.
   CONCLUSIONS: The percentage of online health information seekers reporting 
  easily accessing health information did not meet the HP2020 objective. 
  Continued efforts are needed to enable easy access to online health 
  information among diverse populations.
   Keywords: Healthy People programs; access to information; frustration; 
    health communication; internet
  DOI: https://doi.org/10.1177/0033354919874074
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31513756

                                  JMIR Pediatr Parent. 2019 Jun 07. 2(1): e12524
 9. Online Information About Periviable Birth: Quality Assessment.
   Haragan AF, Zuwiala CA, Himes KP
  BACKGROUND: Over 20,000 parents in the United States face the challenge of 
  participating in decisions about whether to use life support for their 
  infants born on the cusp of viability every year. Clinicians must help 
  families grasp complex medical information about their baby's immediate 
  prognosis as well as the risk for significant long-term morbidity. Patients 
  faced with this decision want supplemental information and frequently seek 
  medical information on the Internet. Empirical evidence about the quality of 
  websites is lacking.
   OBJECTIVE: We sought to evaluate the quality of online information available 
  about periviable birth and treatment options for infants born at the cusp of 
  viability.
   METHODS: We read a counseling script to 20 pregnant participants that 
  included information typically provided by perinatal and neonatal providers 
  when periviable birth is imminent. The women were then asked to list terms 
  they would use to search the Internet if they wanted additional information. 
  Using these search terms, two reviewers evaluated the content of websites 
  obtained via a Google search. We used two metrics to assess the quality of 
  websites. The first was the DISCERN instrument, a validated questionnaire 
  designed to assess the quality of patient-targeted health information for 
  treatment choices. The second metric was the Essential Content Tool (ECT), a 
  tool designed to address key components of counseling around periviable 
  birth as outlined by professional organizations. DISCERN scores were 
  classified as low quality if scores were 2, fair quality if scores were 3, 
  and high quality if scores were 4 or higher. Scores of 6 or higher on the 
  ECT were considered high quality. Interreviewer agreement was assessed by 
  calculated kappa statistic.
   RESULTS: A total of 97 websites were reviewed. Over half (57/97, 59%) were 
  for-profit sites, news stories, or personal blogs; 28% (27/97) were 
  government or medical sites; and 13% (13/97) were nonprofit or advocacy 
  sites. The majority of sites scored poorly in DISCERN questions designed to 
  assess the reliability of information presented as well as data regarding 
  treatment choices. Only 7% (7/97) of the websites were high quality as 
  defined by the DISCERN tool. The majority of sites did not address the 
  essential content defined by the ECT. Importantly, only 18% of websites 
  (17/97) indicated that there are often a number of reasonable approaches to 
  newborn care when faced with periviable birth. Agreement was strong, with 
  kappa ranging from .72 to .91.
   CONCLUSIONS: Most information about periviable birth found on the Internet 
  using common search strategies is of low quality. News stories highlighting 
  positive outcomes are disproportionately represented. Few websites discuss 
  comfort care or how treatment decisions impact quality of life.
   Keywords: Internet resources; patient counseling; patient education; 
    periviable birth
  DOI: https://doi.org/10.2196/12524
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31518325

                               Photodermatol Photoimmunol Photomed. 2019 Sep 11.
10. Analysis of Internet searches using Google trends to measure interest 
     in sun protection and skin cancer in selected South East Asian 
     populations.
   Kwan Z, Yong SS, Robinson S
  BACKGROUND: Analysis of internet search trends has been performed to 
  evaluate interest in sun protection, artificial tanning and skin cancers 
  among the public, particularly in Western countries. This observational 
  study aimed to investigate the relative popularity of search terms relating 
  to sun protection, sunburn, skin cancers and tanning used in Google Trends® 
  in three South East Asian countries (Malaysia, Singapore and Indonesia).
   METHODS: The relevant search terms were queried using the Google Trends® in 
  each location and worldwide. The search volume indices were compared between 
  locations and over a time period from January 1, 2004 to January 31, 2019. 
  Correlations between "sunblock" and "sunburn" as well as "sunblock" and 
  search terms relating to skin cancers ("skin cancer", "melanoma", "basal 
  cell carcinoma" and "squamous cell carcinoma") were evaluated.
   RESULTS: The favored search term relating to sun protection in this region 
  was "sunblock" despite the term itself being a misnomer. The relative 
  popularity of searches for "sunblock" also showed an increase over time and 
  was generally higher compared to interest in sunburn, skin cancers and 
  artificial tanning practices. Positive correlations were noted between 
  "sunblock" and "sunburn" in Malaysia and "sunblock" and "melanoma" in 
  Singapore.
   CONCLUSION: Insights into search trends may assist public health promotion 
  to raise awareness regarding sun protection and skin cancers in the region 
  by targeting commonly used terms for each geographical location.
   Keywords: health promotion; skin cancer; sunburn; sunscreening agents
  DOI: https://doi.org/10.1111/phpp.12510
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31508854

                                    J Intellect Disabil. 2019 Sep;23(3): 446-468
11. Internet use for family carers of people with intellectual 
     disabilities: A literature review and thematic synthesis.
   Caton S, Koivunen ER, Allison C
  Being a family carer can be rewarding but can also lead to mental and 
  physical exhaustion as well as feelings of social exclusion and isolation. 
  Research has shown that the use of the Internet and online forums can 
  provide an immediate place to find information and reassurance and that 
  forum use can be an empathetic place to share experiences and seek emotional 
  support. This article details a systematic literature search of research on 
  carers of people with intellectual disabilities and/or autism using the 
  Internet. A thematic synthesis of the resulting papers identified that 
  online forums give carers a sense of agency by providing a place to go for 
  informational support that may not be elsewhere. Carers also enjoyed the 
  safe community of solidarity and emotional support that online forums 
  provide. An important finding is the lack of published papers in this area 
  with the inclusion of just eight papers.
   Keywords: Internet; carers; intellectual disabilities; learning 
    disabilities; review
  DOI: https://doi.org/10.1177/1744629519874214
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31496385

                      Int J Environ Res Public Health. 2019 Sep 10. pii: E3335. 
12. Moving Beyond the Gym: A Content Analysis of YouTube as an 
     Information Resource for Physical Literacy.
   Bopp T, Vadeboncoeur JD, Stellefson M, Weinsz M
  The Internet, and particularly YouTube, has been found to be and continues 
  to develop as a resourceful educational space for health-related 
  information. Understanding physical literacy as a lifelong health-related 
  outcome and facilitator of an active lifestyle, we sought to assess the 
  content, exposure, engagement, and information quality of uploaded physical 
  literacy videos on YouTube. Two researchers collected 300 YouTube videos on 
  physical literacy and independently coded each video's: title, media source 
  of upload, content topics related to physical literacy, content delivery 
  style, and adherence to adapted Health on the Net Foundation Code of Conduct 
  (HONcode) principles of information quality. Physical literacy videos that 
  focused on physical activity and behaviors were the strongest predictor of 
  high quality ratings, followed closely by videos covering affective domains 
  (motivation, confidence, and self-esteem) of physical literacy. The content 
  delivery method was also important, with videos utilizing presentations and 
  testimonials containing high quality information about physical activity. 
  Thus, providers of physical literacy and health-related online video content 
  should be aware of and adhere to the expected quality standards. As health 
  information expectations and ethical standards increase, the Internet, and 
  specifically YouTube, has the potential to enhance video resources, virtual 
  networking opportunities, as well as the sharing, dissemination, 
  accumulation, and enrichment of physical literacy information for all.
   Keywords: HONcode; Internet; YouTube; activity; online resource; physical 
    literacy; social media
  DOI: https://doi.org/10.3390/ijerph16183335
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31510001

                                           JMIR Aging. 2018 Nov 02. 1(2): e10763
13. Identifying Consumers Who Search for Long-Term Care on the Web: 
     Latent Class Analysis.
   Liu D, Yamashita T, Burston B
  BACKGROUND: Because the internet has become a primary means of communication 
  in the long-term care (LTC) and health care industry, an elevated 
  understanding of market segmentation among LTC consumers is an indispensable 
  step to responding to the informational needs of consumers.
   OBJECTIVE: This exploratory study was designed to identify underlying market 
  segments of the LTC consumers who seek Web-based information.
   METHODS: Data on US adult internet users (n=2018) were derived from 2010 Pew 
  Internet and America Life Project. Latent class analysis was employed to 
  identify underlying market segments of LTC Web-based information seekers.
   RESULTS: Web-based LTC information seekers were classified into the 
  following 2 subgroups: heavy and light Web-based information seekers. 
  Overall, 1 in 4 heavy Web-based information seekers used the internet for 
  LTC information, whereas only 2% of the light information seekers did so. 
  The heavy information seekers were also significantly more likely than light 
  users to search the internet for all other health information, such as a 
  specific disease and treatment and medical facilities. The heavy Web-based 
  information seekers were more likely to be younger, female, highly educated, 
  chronic disease patients, caregivers, and frequent internet users in general 
  than the light Web-based information seekers.
   CONCLUSIONS: To effectively communicate with their consumers, providers who 
  target Web-based LTC information seekers can more carefully align their 
  informational offerings with the specific needs of each subsegment of LTC 
  markets.
   Keywords: consumer health information; information seeking behavior; 
    internet; marketing of health services; public reporting
  DOI: https://doi.org/10.2196/10763
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31518237

                                           JMIR Aging. 2019 Jan 14. 2(1): e11237
14. Health Information-Seeking Behaviors of Family Caregivers: Analysis 
     of the Health Information National Trends Survey.
   Bangerter LR, Griffin J, Harden K, Rutten LJ
  BACKGROUND: The growing population of aging adults relies on informal 
  caregivers to help meet their health care needs, get help with decision 
  making, and gather health information.
   OBJECTIVE: The objective of this study was to examine health 
  information-seeking behaviors among caregivers and to identify caregiver 
  characteristics that contribute to difficulty in seeking health information.
   METHODS: Data from the Health Information National Trends Survey 5, Cycle 1 
  (N=3181) were used to compare health information seeking of caregivers 
  (n=391) with noncaregivers (n=2790).
   RESULTS: Caregivers sought health information for themselves and others 
  using computers, smartphones, or other electronic means more frequently than 
  noncaregivers. Caregivers born outside of the United States reported greater 
  difficulty seeking health information (beta=.42; P=.02). Nonwhite caregivers 
  (beta =-.33; P=.03), those with less education (beta =-.35; P=.02), those 
  with private insurance (beta =-.37; P=.01), and those without a regular 
  health care provider (beta =-.35; P=.01) had less confidence seeking health 
  information. Caregivers with higher income had more confidence (beta =.12; 
  P≤.001) seeking health information.
   CONCLUSIONS: This study highlights the prevalence of electronic means to 
  find health information among caregivers. Notable differences in difficulty 
  and confidence in health information seeking exist between caregivers, 
  indicating the need for more attention to the socioeconomic status and 
  caregivers born outside of the United States. Findings can guide efforts to 
  optimize caregivers' health information-seeking experiences.
   Keywords: Health Information National Trends Survey; disparities; family 
    caregivers; internet use; mobile phone
  DOI: https://doi.org/10.2196/11237
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31518309

                                  J Med Internet Res. 2019 Sep 12. 21(9): e15298
15. Social Media Outrage in Response to a School-Based Substance Use 
     Survey: Qualitative Analysis.
   Gassman RA, Dutta T, Agley J, Jayawardene W, Jun M
  BACKGROUND: School-based alcohol, tobacco, and other drug use (ATOD) surveys 
  are a common epidemiological means of understanding youth risk behaviors. 
  They can be used to monitor national trends and provide data, in aggregate, 
  to schools, communities, and states for the purposes of funding allocation, 
  prevention programming, and other supportive infrastructure. However, such 
  surveys sometimes are targeted by public criticism, and even legal action, 
  often in response to a lack of perceived appropriateness. The ubiquity of 
  social media has added the risk of potential online firestorms, or digital 
  outrage events, to the hazards to be considered when administering such a 
  survey. Little research has investigated the influence of online firestorms 
  on public health survey administration, and no research has analyzed the 
  content of such an occurrence. Analyzing this content will facilitate 
  insights as to how practitioners can minimize the risk of generating outrage 
  when conducting such surveys.
   OBJECTIVE: This study aimed to identify common themes within social media 
  comments comprising an online firestorm that erupted in response to a 
  school-based ATOD survey in order to inform risk-reduction strategies.
   METHODS: Data were collected by archiving all public comments made in 
  response to a news study about a school-based ATOD survey that was featured 
  on a common social networking platform. Using the general inductive approach 
  and elements of thematic analysis, two researchers followed a multi-step 
  protocol to clean, categorize, and consolidate data, generating codes for 
  all 207 responses.
   RESULTS: In total, 133 comments were coded as oppositional to the survey and 
  74 were coded as supportive. Among the former, comments tended to reflect 
  government-related concerns, conspiratorial or irrational thinking, issues 
  of parental autonomy and privacy, fear of child protective services or 
  police, issues with survey mechanisms, and reasoned disagreement. Among the 
  latter, responses showed that posters perceived the ability to prevent abuse 
  and neglect and support holistic health, surmised that opponents were hiding 
  something, expressed reasoned support, or made factual statements about the 
  survey. Consistent with research on moral outrage and digital firestorms, 
  few comments (<10%) contained factual information about the survey; nearly 
  half of the comments, both supportive and oppositional, were coded in 
  categories that presupposed misinformation.
   CONCLUSIONS: The components of even a small online firestorm targeting a 
  school-based ATOD survey are nuanced and complex. It is likely impossible to 
  be fully insulated against the risk of outrage in response to this type of 
  public health work; however, careful articulation of procedures, 
  anticipating specific concerns, and two-way community-based interaction may 
  reduce risk.
   Keywords: ATOD; digital; firestorm; social media; survey
  DOI: https://doi.org/10.2196/15298
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31516129

     Acad Radiol. 2019 Sep 04. pii: S1076-6332(19)30384-8. [Epub ahead of print]
16. Varicocele Embolization: An assessment of the Quality and Readability 
     of Online Patient Information.
   Alderson JH, O'Neil DC, Redmond CE, Mulholland D, Lee MJ
  AIMS AND OBJECTIVES: Varicocele embolization is a growing treatment modality 
  owing to the safety, efficacy, and quick return to work following the 
  procedure. The internet is the most dominant source of information for many. 
  We aimed to assess the quality of information accessible by patients 
  considering treatment.
   MATERIALS AND METHODS: A list of applicable, commonly used searchable terms 
  was generated. Each term was assessed across the five most-used English 
  language search engines to determine the two most commonly used terms. These 
  two terms were then investigated across each search engine, with the first 
  25 web pages returned by each engine included for analysis. Duplicate web 
  pages, nontext content such as video or audio, and web pages behind paywalls 
  were excluded. Web pages were analyzed for quality and readability using 
  validated tools including DISCERN score, JAMA Benchmark Criteria, HONcode 
  Certification, Flesch Reading Ease Score, Flesch-Kincaid Grade Level, and 
  Gunning-Fog Index. Secondary features including age, rank, author, and 
  publisher were recorded.
   RESULTS: The most common applicable terms were "Testicular embolization" 
  (378,300 results) and "Varicocele embolization" (375,800 results). Mean 
  DISCERN quality of information provided by websites is "fair"; Adherence to 
  JAMA Benchmark Criteria was 13.5%. Flesh-Kincaid readability tests 
  demonstrated an average "9th grade" reading level. Scientific journals 
  showed the highest quality scores, but were least up to date with an average 
  web page age of 11.2 years. Web pages produced by "for-profit" organizations 
  were the second most current (average age 2.7 years), but displayed the 
  lowest quality of information scores.
   CONCLUSION: While quality of online information available to patients is 
  "fair," adherence to JAMA benchmark criteria is poor. "For-profit" 
  organization websites are far more numerous and significantly more 
  up-to-date, yet showed significantly lower quality of information scores. 
  Scientific journals were unsurprisingly of higher quality, yet more 
  challenging for the general public to read. These findings call for the 
  production of high-quality and comprehensible content regarding 
  interventional radiology, where physicians can reliably direct their 
  patients for information.
  DOI: https://doi.org/10.1016/j.acra.2019.08.005
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31494004

                               Br J Hosp Med (Lond). 2019 Sep 02. 80(9): 130-132
17. Social media etiquette in medicine.
   Alleje ML, Austria BC, Shrestha PA
  Social media and medical practice have become intertwined in the last few 
  years. Photography and other user-generated content can increase the spread 
  of good health practices and medical information. Different guidelines have 
  been written but the ease of going online and publishing content can have 
  implications for good medical practice. This article gives physicians and 
  students a synthesis of current guidelines and pointers on online behaviour.
  DOI: https://doi.org/10.12968/hmed.2019.80.9.C130
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31498673

                 Bioinformatics. 2019 Sep 10. pii: btz682. [Epub ahead of print]
18. BioBERT: a pre-trained biomedical language representation model for 
     biomedical text mining.
   Lee J, Yoon W, Kim S, Kim D, Kim S, So CH, Kang J
  MOTIVATION: Biomedical text mining is becoming increasingly important as the 
  number of biomedical documents rapidly grows. With the progress in natural 
  language processing, extracting valuable information from biomedical 
  literature has gained popularity among researchers, and deep learning has 
  boosted the development of effective biomedical text mining models. However, 
  directly applying the advancements in natural language processing to 
  biomedical text mining often yields unsatisfactory results due to a word 
  distribution shift from general domain corpora to biomedical corpora. In 
  this paper, we investigate how the recently introduced pre-trained language 
  model BERT can be adapted for biomedical corpora.
   RESULTS: We introduce BioBERT (Bidirectional Encoder Representations from 
  Transformers for Biomedical Text Mining), which is a domain specific 
  language representation model pre-trained on large-scale biomedical corpora. 
  With almost the same architecture across tasks, BioBERT largely outperforms 
  BERT and previous state-of-the-art models in a variety of biomedical text 
  mining tasks when pre-trained on biomedical corpora. While BERT obtains 
  performance comparable to that of previous state-of-the-art models, BioBERT 
  significantly outperforms them on the following three representative 
  biomedical text mining tasks: biomedical named entity recognition (0.62% F1 
  score improvement), biomedical relation extraction (2.80% F1 score 
  improvement), and biomedical question answering (12.24% MRR improvement). 
  Our analysis results show that pre-training BERT on biomedical corpora helps 
  it to understand complex biomedical texts.
   AVAILABILITY AND IMPLEMENTATION: We make the pre-trained weights of BioBERT 
  freely available at https://github.com/naver/biobert-pretrained, and the 
  source code for fine-tuning BioBERT available at 
  https://github.com/dmis-lab/biobert.
   SUPPLEMENTARY INFORMATION: Supplementary data are available at 
  Bioinformatics online.
  DOI: https://doi.org/10.1093/bioinformatics/btz682
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31501885

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February 2008, Week 5
February 2008, Week 4
February 2008, Week 3
February 2008, Week 2
February 2008, Week 1
January 2008, Week 5
January 2008, Week 4
January 2008, Week 3
January 2008, Week 2
January 2008, Week 1
December 2007, Week 5
December 2007, Week 4
December 2007, Week 3
December 2007, Week 2
December 2007, Week 1
November 2007, Week 5
November 2007, Week 4
November 2007, Week 3
November 2007, Week 2
November 2007, Week 1
October 2007, Week 5
October 2007, Week 4
October 2007, Week 3
October 2007, Week 2
October 2007, Week 1
September 2007, Week 5
September 2007, Week 4
September 2007, Week 3
September 2007, Week 2
September 2007, Week 1
August 2007, Week 5
August 2007, Week 4
August 2007, Week 3
August 2007, Week 2
August 2007, Week 1
July 2007, Week 5
July 2007, Week 4
July 2007, Week 3
July 2007, Week 2
July 2007, Week 1
June 2007, Week 5
June 2007, Week 4
June 2007, Week 3
June 2007, Week 2
June 2007, Week 1
May 2007, Week 5
May 2007, Week 4
May 2007, Week 3
May 2007, Week 2
May 2007, Week 1
April 2007, Week 4
April 2007, Week 3
April 2007, Week 2
April 2007, Week 1
March 2007, Week 5
March 2007, Week 4
March 2007, Week 3
March 2007, Week 2
March 2007, Week 1
February 2007, Week 4
February 2007, Week 3
February 2007, Week 2
February 2007, Week 1
January 2007, Week 5
January 2007, Week 4
January 2007, Week 3
January 2007, Week 2
January 2007, Week 1
December 2006, Week 5
December 2006, Week 4
December 2006, Week 3
December 2006, Week 2
December 2006, Week 1
November 2006, Week 5
November 2006, Week 4
November 2006, Week 3
November 2006, Week 2
November 2006, Week 1
October 2006, Week 5
October 2006, Week 4
October 2006, Week 3
October 2006, Week 2
October 2006, Week 1
September 2006, Week 5
September 2006, Week 4
September 2006, Week 3
September 2006, Week 2
September 2006, Week 1
August 2006, Week 5
August 2006, Week 4
August 2006, Week 3
August 2006, Week 2
August 2006, Week 1
July 2006, Week 5
July 2006, Week 4
July 2006, Week 3
July 2006, Week 2
July 2006, Week 1
June 2006, Week 5
June 2006, Week 4
June 2006, Week 3
June 2006, Week 2
June 2006, Week 1
May 2006, Week 5
May 2006, Week 4
May 2006, Week 3
May 2006, Week 2
May 2006, Week 1
April 2006, Week 4
April 2006, Week 3
April 2006, Week 2
April 2006, Week 1
March 2006, Week 5
March 2006, Week 4
March 2006, Week 3
March 2006, Week 2
March 2006, Week 1
February 2006, Week 4
February 2006, Week 3
February 2006, Week 2
February 2006, Week 1
January 2006, Week 5
January 2006, Week 4
January 2006, Week 3
January 2006, Week 2
January 2006, Week 1
December 2005, Week 5
December 2005, Week 4
December 2005, Week 3
December 2005, Week 2
December 2005, Week 1
November 2005, Week 5
November 2005, Week 4
November 2005, Week 3
November 2005, Week 2
November 2005, Week 1
October 2005, Week 5
October 2005, Week 4
October 2005, Week 3
October 2005, Week 2
October 2005, Week 1
September 2005, Week 5
September 2005, Week 4
September 2005, Week 3
September 2005, Week 2
September 2005, Week 1
August 2005, Week 5
August 2005, Week 4
August 2005, Week 3
August 2005, Week 2
August 2005, Week 1
July 2005, Week 5
July 2005, Week 4
July 2005, Week 3
July 2005, Week 2
July 2005, Week 1
June 2005, Week 5
June 2005, Week 4
June 2005, Week 3
June 2005, Week 2
June 2005, Week 1
May 2005, Week 5
May 2005, Week 4
May 2005, Week 3
May 2005, Week 2
May 2005, Week 1
April 2005, Week 5
April 2005, Week 4
April 2005, Week 3
April 2005, Week 2
April 2005, Week 1
March 2005, Week 5
March 2005, Week 4
March 2005, Week 3
March 2005, Week 2
March 2005, Week 1
February 2005, Week 4
February 2005, Week 3
February 2005, Week 2
February 2005, Week 1
January 2005, Week 5
January 2005, Week 4
January 2005, Week 3
January 2005, Week 2
January 2005, Week 1
December 2004, Week 5
December 2004, Week 4
December 2004, Week 3
December 2004, Week 2
December 2004, Week 1
November 2004, Week 5
November 2004, Week 4
November 2004, Week 3
November 2004, Week 2
November 2004, Week 1
October 2004, Week 5
October 2004, Week 4
October 2004, Week 3
October 2004, Week 2
October 2004, Week 1
September 2004, Week 5
September 2004, Week 4
September 2004, Week 3
September 2004, Week 2
September 2004, Week 1
August 2004, Week 5
August 2004, Week 4
August 2004, Week 3
August 2004, Week 2
August 2004, Week 1
July 2004, Week 5
July 2004, Week 4
July 2004, Week 3
July 2004, Week 2
July 2004, Week 1
June 2004, Week 5
June 2004, Week 4
June 2004, Week 3
June 2004, Week 2
June 2004, Week 1
May 2004, Week 4
May 2004, Week 3
May 2004, Week 2
May 2004, Week 1
April 2004, Week 5
April 2004, Week 4
April 2004, Week 3
April 2004, Week 2
April 2004, Week 1
March 2004, Week 5
March 2004, Week 4
March 2004, Week 3
March 2004, Week 2
March 2004, Week 1
February 2004, Week 5
February 2004, Week 4
February 2004, Week 3
February 2004, Week 2
February 2004, Week 1
January 2004, Week 5
January 2004, Week 4
January 2004, Week 3
January 2004, Week 2
January 2004, Week 1
December 2003, Week 5
December 2003, Week 4
December 2003, Week 3
December 2003, Week 2
December 2003, Week 1
November 2003, Week 5
November 2003, Week 4
November 2003, Week 3
November 2003, Week 2
November 2003, Week 1
October 2003, Week 5
October 2003, Week 4
October 2003, Week 3
October 2003, Week 2
October 2003, Week 1
September 2003, Week 5
September 2003, Week 4
September 2003, Week 3
September 2003, Week 2
September 2003, Week 1
August 2003, Week 5
August 2003, Week 4
August 2003, Week 3
August 2003, Week 2
August 2003, Week 1
July 2003, Week 5
July 2003, Week 4
July 2003, Week 3
July 2003, Week 2
July 2003, Week 1
June 2003, Week 5
June 2003, Week 4
June 2003, Week 3
June 2003, Week 2
June 2003, Week 1
May 2003, Week 5
May 2003, Week 4
May 2003, Week 3
May 2003, Week 2
May 2003, Week 1
April 2003, Week 5
April 2003, Week 4
April 2003, Week 3
April 2003, Week 2
April 2003, Week 1
March 2003, Week 5
March 2003, Week 4
March 2003, Week 3
March 2003, Week 2
March 2003, Week 1
February 2003, Week 4
February 2003, Week 3
February 2003, Week 2
February 2003, Week 1
January 2003, Week 5
January 2003, Week 4
January 2003, Week 3
January 2003, Week 2
January 2003, Week 1
December 2002, Week 5
December 2002, Week 4
December 2002, Week 3
December 2002, Week 2
December 2002, Week 1
November 2002, Week 5
November 2002, Week 4
November 2002, Week 3
November 2002, Week 2
November 2002, Week 1
October 2002, Week 5
October 2002, Week 4
October 2002, Week 3
October 2002, Week 2
October 2002, Week 1
September 2002, Week 5
September 2002, Week 4
September 2002, Week 3
September 2002, Week 2
September 2002, Week 1
August 2002, Week 5
August 2002, Week 4
August 2002, Week 3
August 2002, Week 2
August 2002, Week 1
July 2002, Week 5
July 2002, Week 4
July 2002, Week 3
July 2002, Week 2
July 2002, Week 1
June 2002, Week 5
June 2002, Week 4
June 2002, Week 3
June 2002, Week 2
June 2002, Week 1
May 2002, Week 5
May 2002, Week 4
May 2002, Week 3
May 2002, Week 2
May 2002, Week 1
April 2002, Week 5
April 2002, Week 4
April 2002, Week 3
April 2002, Week 2
April 2002, Week 1
March 2002, Week 5
March 2002, Week 4
March 2002, Week 3
March 2002, Week 2
March 2002, Week 1
February 2002, Week 4
February 2002, Week 3
February 2002, Week 2
February 2002, Week 1
January 2002, Week 5
January 2002, Week 4
January 2002, Week 3
January 2002, Week 2
January 2002, Week 1
December 2001, Week 5
December 2001, Week 4
December 2001, Week 3
December 2001, Week 2
December 2001, Week 1
November 2001, Week 5
November 2001, Week 4
November 2001, Week 3
November 2001, Week 2
November 2001, Week 1
October 2001, Week 5
October 2001, Week 4
October 2001, Week 3
October 2001, Week 2
October 2001, Week 1
September 2001, Week 5
September 2001, Week 4
September 2001, Week 3
September 2001, Week 2
September 2001, Week 1
August 2001, Week 5
August 2001, Week 4
August 2001, Week 3
August 2001, Week 2
August 2001, Week 1
July 2001, Week 5
July 2001, Week 4
July 2001, Week 3
July 2001, Week 2
July 2001, Week 1
June 2001, Week 5
June 2001, Week 4
June 2001, Week 3
June 2001, Week 2
June 2001, Week 1
May 2001, Week 5
May 2001, Week 4
May 2001, Week 3
May 2001, Week 2
May 2001, Week 1
April 2001, Week 5
April 2001, Week 4
April 2001, Week 3
April 2001, Week 2
April 2001, Week 1
March 2001, Week 5
March 2001, Week 4
March 2001, Week 3
March 2001, Week 2
March 2001, Week 1
February 2001, Week 4
February 2001, Week 3
February 2001, Week 2
February 2001, Week 1
January 2001, Week 5
January 2001, Week 4
January 2001, Week 3
January 2001, Week 2
January 2001, Week 1
December 2000, Week 5
December 2000, Week 4
December 2000, Week 3
December 2000, Week 2
December 2000, Week 1
November 2000, Week 5
November 2000, Week 4
November 2000, Week 3
November 2000, Week 2
November 2000, Week 1
October 2000, Week 5
October 2000, Week 4
October 2000, Week 3
October 2000, Week 2
October 2000, Week 1
September 2000, Week 5
September 2000, Week 4
September 2000, Week 3
September 2000, Week 2
September 2000, Week 1
August 2000, Week 5
August 2000, Week 4
August 2000, Week 3
August 2000, Week 2
August 2000, Week 1
July 2000, Week 5
July 2000, Week 4
July 2000, Week 3
July 2000, Week 2
July 2000, Week 1
June 2000, Week 5
June 2000, Week 4
June 2000, Week 3
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June 2000, Week 1
May 2000, Week 5
May 2000, Week 4
May 2000, Week 3
May 2000, Week 2
May 2000, Week 1
April 2000, Week 5
April 2000, Week 4
April 2000, Week 3
April 2000, Week 2
April 2000, Week 1
March 2000, Week 5
March 2000, Week 4
March 2000, Week 3
March 2000, Week 2
March 2000, Week 1
February 2000, Week 5
February 2000, Week 4
February 2000, Week 3
February 2000, Week 2
February 2000, Week 1
January 2000, Week 5
January 2000, Week 4
January 2000, Week 3
January 2000, Week 2
January 2000, Week 1
December 1999, Week 5
December 1999, Week 4
December 1999, Week 3
December 1999, Week 2
December 1999, Week 1
November 1999, Week 5
November 1999, Week 4
November 1999, Week 3
November 1999, Week 2
November 1999, Week 1
October 1999, Week 5
October 1999, Week 4
October 1999, Week 3
October 1999, Week 2
October 1999, Week 1
September 1999, Week 5
September 1999, Week 4
September 1999, Week 3
September 1999, Week 2
September 1999, Week 1
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August 1999, Week 3
August 1999, Week 2
August 1999, Week 1
July 1999, Week 5
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July 1999, Week 3
July 1999, Week 2
July 1999, Week 1
June 1999, Week 5
June 1999, Week 4
June 1999, Week 3
June 1999, Week 2
June 1999, Week 1
May 1999, Week 5
May 1999, Week 4
May 1999, Week 3
May 1999, Week 2
May 1999, Week 1
April 1999, Week 5
April 1999, Week 4
April 1999, Week 3
April 1999, Week 2
April 1999, Week 1
March 1999, Week 5
March 1999, Week 4
March 1999, Week 3
March 1999, Week 2
March 1999, Week 1
February 1999, Week 4
February 1999, Week 3
February 1999, Week 2
February 1999, Week 1
January 1999, Week 5
January 1999, Week 4
January 1999, Week 3
January 1999, Week 2
January 1999, Week 1
December 1998, Week 5
December 1998, Week 4
December 1998, Week 3
December 1998, Week 2
December 1998, Week 1
November 1998, Week 5
November 1998, Week 4
November 1998, Week 3
November 1998, Week 2
November 1998, Week 1
October 1998, Week 5
October 1998, Week 4
October 1998, Week 3
October 1998, Week 2
October 1998, Week 1
September 1998, Week 5
September 1998, Week 4
September 1998, Week 3
September 1998, Week 2
September 1998, Week 1
August 1998, Week 5
August 1998, Week 4
August 1998, Week 3
August 1998, Week 2
August 1998, Week 1
July 1998, Week 5
July 1998, Week 4
July 1998, Week 3
July 1998, Week 2
July 1998, Week 1
June 1998, Week 5
June 1998, Week 4
June 1998, Week 3
June 1998, Week 2
June 1998, Week 1
May 1998, Week 5
May 1998, Week 4
May 1998, Week 3
May 1998, Week 2
May 1998, Week 1
April 1998, Week 5
April 1998, Week 4
April 1998, Week 3
April 1998, Week 2
April 1998, Week 1
March 1998, Week 5
March 1998, Week 4
March 1998, Week 3
March 1998, Week 2
March 1998, Week 1
February 1998, Week 4
February 1998, Week 3
February 1998, Week 2
February 1998, Week 1
January 1998, Week 5
January 1998, Week 4
January 1998, Week 3
January 1998, Week 2
January 1998, Week 1
December 1997, Week 5
December 1997, Week 4
December 1997, Week 3
December 1997, Week 2
December 1997, Week 1
November 1997, Week 5
November 1997, Week 4
November 1997, Week 3
November 1997, Week 2
November 1997, Week 1
October 1997, Week 5
October 1997, Week 4
October 1997, Week 3
October 1997, Week 2
October 1997, Week 1
September 1997, Week 5
September 1997, Week 4
September 1997, Week 3
September 1997, Week 2
September 1997, Week 1
August 1997, Week 5
August 1997, Week 4
August 1997, Week 3
August 1997, Week 2
August 1997, Week 1
July 1997, Week 5
July 1997, Week 4
July 1997, Week 3
July 1997, Week 2
July 1997, Week 1
June 1997, Week 5
June 1997, Week 4
June 1997, Week 3
June 1997, Week 2
June 1997, Week 1
May 1997, Week 5
May 1997, Week 4
May 1997, Week 3
May 1997, Week 2
May 1997, Week 1
April 1997, Week 5
April 1997, Week 4
April 1997, Week 3
April 1997, Week 2
April 1997, Week 1
March 1997, Week 5
March 1997, Week 4
March 1997, Week 3
March 1997, Week 2
March 1997, Week 1
February 1997, Week 4
February 1997, Week 3
February 1997, Week 2
February 1997, Week 1
January 1997, Week 5
January 1997, Week 4
January 1997, Week 3
January 1997, Week 2
January 1997, Week 1
December 1996, Week 5
December 1996, Week 4
December 1996, Week 3
December 1996, Week 2
December 1996, Week 1
November 1996, Week 5
November 1996, Week 4
November 1996, Week 3
November 1996, Week 2
November 1996, Week 1
October 1996, Week 5
October 1996, Week 4
October 1996, Week 3
October 1996, Week 2
October 1996, Week 1
September 1996, Week 5
September 1996, Week 4
September 1996, Week 3
September 1996, Week 2
September 1996, Week 1
August 1996, Week 5
August 1996, Week 4
August 1996, Week 3
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August 1996, Week 1
July 1996, Week 5
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July 1996, Week 1
June 1996, Week 5
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May 1996, Week 3
May 1996, Week 2
May 1996, Week 1
April 1996, Week 5
April 1996, Week 4
April 1996, Week 3
April 1996, Week 2
April 1996, Week 1
March 1996, Week 5
March 1996, Week 4
March 1996, Week 3
March 1996, Week 2
March 1996, Week 1
February 1996, Week 5
February 1996, Week 4
February 1996, Week 3
February 1996, Week 2
February 1996, Week 1
January 1996, Week 5
January 1996, Week 4
January 1996, Week 3
January 1996, Week 2
January 1996, Week 1
December 1995, Week 5
December 1995, Week 4
December 1995, Week 3
December 1995, Week 2
December 1995, Week 1
November 1995, Week 5
November 1995, Week 4
November 1995, Week 3
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October 1995, Week 5
October 1995, Week 4
October 1995, Week 3
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October 1995, Week 1
September 1995, Week 5
September 1995, Week 4
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September 1995, Week 1
August 1995, Week 5
August 1995, Week 4
August 1995, Week 3
August 1995, Week 2
August 1995, Week 1
July 1995, Week 5
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July 1995, Week 3
July 1995, Week 2
July 1995, Week 1
June 1995, Week 5
June 1995, Week 4
June 1995, Week 3
June 1995, Week 2
June 1995, Week 1
May 1995, Week 5
May 1995, Week 4
May 1995, Week 3
May 1995, Week 2
May 1995, Week 1
April 1995, Week 5
April 1995, Week 4
April 1995, Week 3
April 1995, Week 2
April 1995, Week 1
March 1995, Week 5
March 1995, Week 4
March 1995, Week 3
March 1995, Week 2
March 1995, Week 1
February 1995, Week 5
February 1995, Week 4
February 1995, Week 3
February 1995, Week 2
February 1995, Week 1
January 1995, Week 5
January 1995, Week 4
January 1995, Week 3
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January 1995, Week 1
December 1994, Week 5
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December 1994, Week 3
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December 1994, Week 1
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April 1994, Week 5
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April 1994, Week 3
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April 1994, Week 1
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