|
|
||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
RESEARCH AND PRACTICE |
David P. Eisenman is with the David Geffen School of Medicine at the University of California, Los Angeles, and the RAND Corporation, Los Angeles, Calif. Kristina M. Cordasco is with the David Geffen School of Medicine at University of California, Los Angeles. Steve Asch is with the VA Greater Los Angeles Healthcare System, the David Geffen School of Medicine at the University of California, Los Angeles, and the RAND Corporation, Los Angeles. Joya F. Golden is with the VA Greater Los Angeles Healthcare System, Los Angeles. Deborah Glik is with the University of California, Los Angeles School of Public Health, Los Angeles.
Correspondence: Requests for reprints should be sent to David P. Eisenman, David Geffen School of Medicine, University of California, Los Angeles, Division of General Internal Medicine and Health Services Research, 911 Broxton Plaza, Los Angeles, CA 90095-1736 (e-mail: deisenman{at}mednet.ucla.edu).
| ABSTRACT |
|---|
|
|
|---|
Objectives. We studied the experience of Hurricane Katrina evacuees to better understand factors influencing evacuation decisions in impoverished, mainly minority communities that were most severely affected by the disaster.
Methods. We performed qualitative interviews with 58 randomly selected evacuees living in Houstons major evacuation centers from September 9 to 12, 2005. Transcripts were content analyzed using grounded theory methodology.
Results. Participants were mainly African American, had low incomes, and were from New Orleans. Participants strong ties to extended family, friends, and community groups influenced other factors affecting evacuation, including transportation, access to shelter, and perception of evacuation messages. These social connections cut both ways, which facilitated and hindered evacuation decisions.
Conclusions. Effective disaster plans must account for the specific obstacles encountered by vulnerable and minority communities. Removing the more apparent obstacles of shelter and transportation will likely be insufficient for improving disaster plans for impoverished, minority communities. The important influence of extended families and social networks demand better community-based communication and preparation strategies.
| INTRODUCTION |
|---|
|
|
|---|
Evacuation research generally compares populations who do and do not evacuate,7–10 so the few studies that address racial/ethnic variations describe disparities between broad majority and minority groups, leaving much about the crucial factors operating within minority groups unknown.11,12 In-depth investigations of evacuation decisions are needed to understand why impoverished, urban, minority communities may be less likely to evacuate. A survey done by Brodie et al13 of the predominantly poor and African American persons residing in Houstons shelters after Hurricane Katrina highlights some of the challenges faced in evacuating vulnerable minority communities; the most commonly endorsed responses for not evacuating were lack of transportation and misjudging the storms danger. Still, social psychological theory predicts that decisionmaking is complex, multifactorial, and socially embedded.14 Results of studies, such as that by Brodie et al,13 invite further questions about the complex interrelationships of the reasons offered in the survey for not evacuating and potentially others (e.g., family refused to evacuate, inability to leave work, and credibility of evacuation recommendations) that were not included in the survey.12
Qualitative research can add to the depth of our understanding by providing a detailed accounting of the cultural context, social environment, and individual cognitions that led to peoples decisions and abilities to evacuate before Hurricane Katrina. We interviewed evacuees from Hurricane Katrina to better understand, from their perspective, the complex set of factors that influenced evacuation behaviors. Understanding these experiences could inform disaster plans for impoverished, minority, communities in the United States.
| METHODS |
|---|
|
|
|---|
|
Participation was voluntary and anonymous, and all of the participants provided verbal informed consent. Interviews were conducted in the most private setting available, and no incentives were offered.
With the exception of the demographic components (Table 2
), all of the interviews were conducted in a semistructured format. The interviewer asked participants to describe the following: (1) sources and understanding of information in the time period before the hurricane; (2) knowledge, perceptions, and resources that influenced their evacuation behavior before the hurricanes landfall; and (3) reflections on factors that would have altered their behavior. Interviews were recorded and professionally transcribed.
|
| RESULTS |
|---|
|
|
|---|
A total of 1182 statements were identified and coded into themes and subthemes (see the box 1
on this page). The themes were as follows: (1) instrumental, defined as the resources needed for and practical concerns related to evacuation; (2) cognitive, defined as the cognitive components of how evacuation messages were received, processed, and understood; and (3) sociocultural, defined as beliefs, attitudes, and perceptions of the nature of disasters or the underlying community structure or politics, including discrimination.
Representative Statements From Identified Themes and Subthemes
|
Instrumental
Shelter.
Participants did not recall specific destinations outside New Orleans prescribed in the evacuation orders. Said 1 participant, "There was nothing about where we was supposed to go at." Participants described extended family outside New Orleans who offered them shelter before the hurricane, although they did not evacuate for other reasons. One person did evacuate before the hurricane "because my daughters mother-in-law lives in Appaloosa, Louisiana, and every time we hear something going on out in the Gulf . . . its like an open invitation." Others noted that the absence of friends and family outside New Orleans hindered evacuation (see the box on the previous page). Persons who did not evacuate often thought that they would be safer if they moved to "sturdier" dwellings in New Orleans such as hospitals, hotels, high-rise apartments, and public housing buildings.
Transportation. Transportation was an obstacle for participants who did not have a functioning car, could not find a rental car, or had no insurance, license, or gas. Even if participants owned a car, 1 car for the entire family may not have been enough; other family members had already evacuated with it or the family was too large for a single car (see the box on the previous page). Persons who wanted to evacuate by bus did not know where to board them, reported no buses in their neighborhoods, or had elderly in their homes who could not walk to them (see the box on the previous page).
Money, Property, and Jobs. Concerns about money, property, or jobs impeded evacuation in several ways. First, disposable income was an obstacle, because, as 1 single mother reported, "You have to be able to feed your children when you leave. You have to be able to have a place to stay, you have to have gas money, you have to have rental car money. I couldnt afford to do that. You need at least $500/$600, and thats the least amount of money."
Second, participants reported obstacles to leaving imposed by their employers. Three participants reported not evacuating for fear of losing their jobs. One reported a conversation with his employer who said, "If you dont come around then, you know, Ill just see you when I see you.. . .That means when I see you youre going to be fired." Another woman, discussing her clients from a home for persons with HIV/AIDS said, "We had 5 of them placed, 2 of them were not placed, so that means when we had to evacuate . . . I had to take them with me." Last, personal experience of looters or a fear of looters influenced evacuation decisions (see the box on the previous page).
Health. The health of participants or members of extended family members influenced evacuation (see the box on the previous page). For 1 person, it was fear of being far from their usual providers, "because Im a diabetic and I have to be close by to get to doctors and hospital—I cant just go anywhere." Health problems (fatigue and somnolence) hindered 2 participants from driving themselves, although they owned their own cars (see the box on the previous page).
Social Network. A total of 106 statements focused on the importance of social networks (the web of relationships that surround individuals) as obstacles or facilitators to evacuation. Statements about social networks that overlapped with statements about transportation, shelter, and health described how family, friends, and neighbors influenced decisionmaking and the ability to evacuate. Previous experiences of elderly family members affected decisions to evacuate (see the box on the previous page). Obligations to the elderly also influenced households evacuation attempts. One participant said, "My plans were to leave. Unfortunately we received a call and we had to come back home. My mother-in-law had called for us to come back. . . . You know when they get a certain age they get confused."
Participants described an individuals evacuation decision initiating a chain reaction that impacted an entire family: "My mother-in-law wouldnt leave the house. My husband wouldnt leave her and Im not going to leave him."
Alternatively, the extended family was a resource that encouraged the decision and capacity to evacuate: "I started making phone calls to my children warning them to get out. And after that, my sister, she had called me. So I went to pick her and her children up, and grandchildren, and we just started driving, heading toward Florida."
Cognitive
Sources, Timing, and Understanding of Messages.
Participants initial sources of information about the hurricane were television or family and friends. Participants reported understanding televised warnings about the hurricane but evacuation messages were recalled as nonspecific or ambiguous, for instance, messages to "go somewhere" but not where and how to evacuate (see the box on the previous page).
Participants focused on 2 terms used in messages: "category 5" and "mandatory" evacuation. The term "category 5" impressed people with the storms severity, the threat it posed, and the need to evacuate. Said 1 participant, "Oh, I knew I would die because they said, category 5, category 5, and I knew it was the end." The term "mandatory" increased the perceived severity of the storm (see the box on the previous page), and participants distinguished between responding to a "mandatory" versus "voluntary" evacuation: "They wasnt saying it was mandatory; they was saying if you can leave, please leave. They didnt say it was mandatory because if they would have I would have left."
Participants integrated media messages with the communications of friends, family, neighbors, and church members in deciding whether or not to evacuate. Emotional appeals from contacts and seeing that "everybody was in line at the store" swayed persons from ambivalence to evacuation. A participant received direct appeals from a social services worker that changed her mind: "So our clinical manager called back. She says, Stella, the Lord said get out of that house. I said, Were on our way out now if you would hang up."
Risk Perception. Participants who did not evacuate thought that their own vulnerability would be low based on previous experience (see the box on the previous page). Vulnerability would be minimal because, "I know its a flooding city but the street I live on does not flood," or because, "I was on the second floor," or because, "the project was the safest place to be." Participants reported mistrusting warnings as "trying to scare us." Stated 1 person, "They do this every year when its time for a hurricane." Finally, participants saw evacuation as riskier than staying home because of the dangers of driving on the highway (see the box on the previous page).
Sociocultural. Collective memory of past hurricanes led participants to believe that they rarely bring damage, dangerous flooding, or personal risk: "I mean, aint nothing exciting about no hurricane. But, you know, living in New Orleans . . . youre under the threat of it. So its been gusting, but thats where you stay."
Furthermore, distrust of authorities fueled their belief that the flooding was not because of the hurricane. Participants thought that the levees had been "blown" to save wealthy neighborhoods and businesses at the expense of poor, black neighborhoods. Said 1 participant, "They knew they had to sacrifice somebody, and they all came together and decided what they were going to do. And the Ninth Ward is all the crack dens and the lower incomes, the poorest of the poor, the helpless, the criminal element."
| DISCUSSION |
|---|
|
|
|---|
Previous studies describing the importance of family in the decision to evacuate have focused on households21,22 with less attention to the extended family, which is often more cohesive in minority communities.23 An accepted finding of disaster research is that people tend to evacuate as family units.22,24 Research with Mexican Americans found that accounting for extended family members delayed responses to disaster warnings.5 Similarly, elderly persons may be less likely to evacuate,10 and their presence in a household may complicate family evacuation.22 Our study not only confirms the importance of these findings in the largest natural disaster in the United States in a century but also may provide clues to the mechanisms behind them. We found that broad networks of families and friends created demands on participants and more inertia to evacuation among the household and group. These demands stretched limited resources, such as transportation, hindering the households and groups ability to evacuate. Obligations to the extended family, especially the elderly, who resisted evacuation, inhibited many individuals and nuclear families from evacuating. Decisionmaking occurred among groups larger than the nuclear family, and group decisionmaking, with its inherent inefficiencies, sometimes overwhelmed decisionmaking of individuals.25,26 In only a few participants did the balance among the willingness to evacuate, resources for evacuation, and the needs of the extended family members favor evacuation, although extended families provided other vital functions, such as assistance during the storm and the flood afterward.
Although transportation and financial factors alone did prevent some from evacuating, more important was the confluence of these obstacles to evacuation. For example, although almost 45% of the sample reported that they owned or had access to a car, many still did not have money for gas, hotels, or food, which, as estimated by 1 participant, could cost 2 weeks pay. Participants who did not have family outside of New Orleans often lacked specific evacuation destinations and said that messages did not provide specific destinations. Moreover, although most study participants did not initially evacuate New Orleans, many participants did leave their homes for others homes or places of employment because they perceived them as safer than their own houses. Fears that one would lose their job, additional responsibilities imposed by employers, and protecting property from looting, especially if it meant losing the tools of ones trade, kept others from evacuating.
The terms "category 5" and "mandatory" evacuation strongly resonated with participants. This is consistent with a previous study that found that the difference between a category 3 and category 4 hurricane is the boundary at which people feel at risk.27 This also highlights the value of education on common disaster terms, such as hurricane categories 1 to 5 (Saffir–Simpson Hurricane Categories), as an important aspect of disaster policy. Education provided by emergency planners can increase citizens knowledge about hazard risks,28 and people are more likely to evacuate if they perceive enough risk to themselves and loved ones.3,10,22
For other participants, however, the collective memory of past hurricanes combined with distrust of authorities led to the minimization of their perceived risk associated with Hurricane Katrina. Initially, this underestimation of the danger was weighed against fears of getting "stuck" on the highway, also derived from collective memory. Studies show that trusting information received from inside ones social network rather than the information received from outside ones network (e.g., media and authority figures) is characteristic of networks composed of strong family ties.29 These networks are better suited for social support than for exchanging new information.29 During times of stress, networks composed of intense ties, such as extended families, may be less adaptive, because they are less likely to exchange new information.30 In such cases, disaster planners partnering with organizations that are part of these networks, such as churches in the African American community, may better communicate new information to individuals and families who value information received from inside their network.31,32
Limitations
There are limitations to our study. Social response bias or cognitive dissonance may have influenced recall of evacuation decisions. Also, the target population (persons living in the 3 Houston evacuation centers) was intended to represent the most vulnerable participants who did not evacuate before Hurricane Katrina and needed evacuation and housing assistance. Participants were, therefore, not selected from hotels and private residences where evacuees were living, and so may not generalize to other, possibly less-disadvantaged, evacuees. The peculiarities of the large-scale evacuation from impoverished sections of New Orleans provided a skewed population for study, which was further compounded by the rapidly changing occupancy of the shelters. We attempted to reduce bias in sample selection strategy, but the study sample remains a convenience sample with respect to those who may have been evacuated to these 3 shelters and who remained in the shelters on September 9 to 12, 2005. As a result, our sample was older, poorer, less well educated, and disproportionately African American compared with New Orleans residents before Hurricane Katrina.33 Also, without demographic data on the overall population in the 3 centers, we are unable to determine whether our sample was representative of the target population living there. Our randomly selected sample is comparable in gender, income, and marital status to another sample randomly selected for a survey that ran concurrently in the shelters.13 The qualitative nature of our investigation is best suited to range finding and evaluating interactions between factors associated with evacuation decisions. Without a quantitative approach, it is difficult to determine the prevalence of the factors that we identified.
Disaster programs, policies, and research can address the obstacles that we identified. For example, emergency food and gas vouchers that are activated when an evacuation is announced could be provided to eligible families. National and state legislation that provides job protection for those who evacuate could be modeled after laws such as the Uniformed Services Employment and Reemployment Rights Act of 1994, which provides reemployment protection for active duty military personnel. Education programs are needed to address the misperceptions that persist, for instance, that evacuating to a home that is sturdier but still in the storms path increases ones safety. Public education campaigns are needed to educate the public about the level of protection provided by a "sturdy" house against a severe hurricane and the need to travel away from the storm.
Moreover, disaster programs and research should focus on social units (households, extended families, and neighborhoods) and the organizations and groups they interact with, such as churches, social clubs, schools, and labor unions.31 For instance, churches could be central to disaster planning and communications in African American communities, because they provide important links to families31 and have a history of successful involvement in social projects and health promotion.34–36 They could be used to sway individuals and families whose norms, risk perceptions, and decisionmaking are highly influenced by their social networks and to provide access to resources. Church groups might organize phone trees to promote evacuations and organize evacuation planning for the elderly.37 They could participate in devising and pretesting communications developed along risk communication principles,38,39 which emphasize that effective crisis messages are consistent, timely, actionable, and empathic to the manifold and complex situations in which families may find themselves.40–42 Studies demonstrate that the clearer and more specific the disaster warning messages are, for instance, providing simple evacuation instructions and directions to specific destinations, the more likely the public will respond to them.43,44
Conclusions
As we seek lessons from the evacuation of Hurricane Katrina, it is important that communications and disaster plans account for the specific obstacles encountered by urban, minority communities. Our work provides an opportunity to listen to the voices of the evacuees themselves. These voices lead us to believe that removing the obstacles of shelter and transportation will be insufficient to ensure safety in future disasters. Policies must additionally address the important influence of extended families and social networks through better community-based communication and preparation strategies.
| Acknowledgments |
|---|
The authors gratefully acknowledge the advice and assistance of Dennis S. Mileti in originating the study, Michele Allen in interpreting the data on social networks, and Joseph Rabatin in reviewing the article.
Human Participant Protection
The study was approved by the Human Subjects Protection Committee of the University of California, Los Angeles.
| Footnotes |
|---|
Contributors
D. P. Eisenman designed and directed the study and led its implementation, data collection, data analysis, interpretation, and the writing and editing of the article. K.M. Cordasco worked with D. P. Eisenman to implement the study and collected and analyzed data. S. Asch co-designed the study and advised D. P. Eisenman. J. F. Golden analyzed data. D. Glik advised the team on data analysis and performed data analysis. All of the authors helped to conceptualize ideas, interpret findings, and write and review drafts of the article.
Accepted for publication July 31, 2006.
| References |
|---|
|
|
|---|
2. Nigg JM, Barnshaw J, Torres MR. Hurricane Katrina and the flooding of New Orleans: Emergent issues in sheltering and temporary housing. Ann Am Acad Pol Soc Sci. 2006;604:115–128.
3. Riad J, Norris F, Ruback RB. Predicting evacuation in two major disasters: risk perception, social influence, and access to resources. J Appl Soc Psychol. 1999;29:918–934.[CrossRef][Web of Science]
4. Fothergill A, Maestas E, Darlington J. Race, ethnicity and disasters in the United States: a review of the literature. Disasters. 1999;23:156–173.[CrossRef][Web of Science][Medline]
5. Perry RW, Mushkatel AH. Minority Citizens in Disasters. Athens, Ga: University of Georgia Press; 1986.
6. Perry RW, Lindell MK The effects of ethnicity on evacuation decision-making. Int J Mass Emerg Disasters. 1991;9(47–68).
7. Drabek TE. Shall we leave? A study on family reactions when disaster strikes. Emerg Manage Rev. 1999;1:25–29.
8. Fischer HW, Stine GF, Stoker BL, Trowbridge ML, Drain EM. Evacuation behavior: why do some evacuate, while others do not? A case study of Ephata, Pennsylvania (USA) evacuation. Disaster Prev Manage. 1995; 4:30–36.[CrossRef]
9. Aguirre BE. Evacuation in Cancun during Hurricane Gilbert. Int J Mass Emerg Disasters. 1991;9:31–45.
10. Baker EJ. Predicting response to hurricane warnings: a reanalysis of data from four studies. Mass Emergencies. 1979;4:9–24.[Web of Science]
11. Drabek TE. Understanding disaster warning responses. Soc Sci J. 1999;36:515.[CrossRef][Web of Science]
12. Tierney KJ, Lindell MK, Perry R. Facing the Unexpected: Disaster Preparedness and Response in the United States. Washington, DC: Joseph Henry Press; 1999.
13. Brodie M, Weltzien E, Altman D, Blendon RJ, Benson JM. Experiences of Hurricane Katrina Evacuees in Houston Shelters: Implications for future planning. Am J Public Health. 2006;96:1402–1408.
14. Weinstein ND. The precaution adoption process. Health Psychol. 1988;7:355–386.[CrossRef][Web of Science][Medline]
15. Harris County Joint Information Center. Hurricane Katrina relief report. Available at: http://www.hcjic.org/default.asp. Accessed November 29, 2005.
16. Glaser B, Strauss A. The Discovery of Grounded Theory: Strategies for Qualitative Research. Chicago, Ill: Aldine; 1967.
17. Lincoln YS, Guba EG. Naturalistic Inquiry. Newbury Park, Calif: Sage Publications; 1985.
18. Ryan G, Bernard HR. Techniques to identify themes. Field Methods. 2003;15:85–109.[Abstract]
19. Strauss A, Corbin J. Basics of Qualitative Research: Grounded Theory Procedures and Techniques. Newbury Park, Calif: Sage Publications, Inc; 1990.
20. MacQueen K, McLellan E, Kay K, Milstein N. Codebook development for team-based qualitative analysis. Cultural Anthropol Method J. 1998;10:31–36.
21. Howell S, Bonner D. Citizen Hurricane Evacuation Behavior in Southeastern Lousiana: A Twelve Parish Survey. July, 2005. Available at: http://www.poli.uno.edu/unopoll/Summary%20Report%20July%2019%202005%20(2).pdf. Accessed December 22, 2005.
22. Perry RW. Evacuation decision-making in natural disasters. Mass Emergencies. 1979;4:25–38.[Web of Science]
23. Ruggles S. The origins of African-American family structure. Am Sociol Rev. 1994;59:136–151.[CrossRef][Web of Science]
24. Drabek TE, Boggs KS. Families in disasters: reactions and relatives. J Marriage Fam. 1968;30: 443–451.[CrossRef][Web of Science]
25. Adler P, Kwon S. Social capital: the good, the bad, and the ugly. In: Knowledge and Social Capital: Foundations and Applications, Lesser E, ed. Boston, Mass: Butterworth-Heineman; 2000;89–115.
26. Buckland J, Rahman M. Community-based disaster management during the 1997 Red River Flood in Canada. Disasters. 1999;23:174–191.[CrossRef][Web of Science][Medline]
27. Whitehead JC, Edwards B, Van Willigen M, Maiolo J, Wilson K. Heading for higher ground: factors affecting hurricane evacuation behavior. Environ Hazard. 2000;2:133–142.
28. Zhang Y, Prater CS, Lindell MK. Risk area accuracy and evacuation from Hurricane Bret. Nat Hazard Rev. 2004;5:115–120.[CrossRef]
29. Granovetter M. The strength of weak ties: a network theory revisited. Sociol Theory. 1983;1:201–233.[CrossRef]
30. Gottlieb BH, Wagner F. Selecting and planning support interventions. In: Social Support Measurement and Interventions, Cohen S, Underwood LG, Gottlieb BH, eds. New York, NY: Oxford University Press; 2000.
31. Peterson J, Atwood JR, Yates B. Key elements for church-based health promotion programs: outcome-based literature review. Public Health Nurs. 2002;19: 401–411.[CrossRef][Web of Science][Medline]
32. Glass T, Schoch-Spana M. Bioterrorism and the people: how to vaccinate a city against panic. Clin Infect Dis. 2002;34:217–223.[CrossRef][Web of Science][Medline]
33. United States Census Bureau. 2004 American Community Survey. Available at: http://www.census.gov/acs/www. Accessed May 19, 2005.
34. DeHaven MJ, Hunter IB, Wilder L, Walton JW, Berry J. Health programs in faith-based organizations: are they effective? Am J Public Health. 2004;94: 1030–1036.
35. Young DR, Stewart KJ. A church-based physical activity intervention for African American women. Fam Commun Health. 2006;29:103–115.[Web of Science][Medline]
36. Resnicow K, Kramish Campbell M, Carr C, et al. Body and soul: a dietary intervention conducted through African-American churches. Am J Prevent Med. 2004;27:97.[CrossRef][Web of Science][Medline]
37. Eng E, Hatch JW. Networking between agencies and black churches: the lay health advisor model. Prev Hum Serv. 1991;10:123–146.
38. Lasker RD. Redefining Readiness: Terrorism Planning Through the Eyes of the Public. New York, NY: Center for the Advancement of Collaborative Strategies in Health, The New York Academy of Medicine; 2004.
39. Morgan MG, Fischhoff B, Bostrom A, Atman C. Risk Communication: The Mental Models Approach. New York, NY: Cambridge University Press; 2001.
40. Reynolds B, Seeger M. Crisis and emergency risk communication: an integrative approach. J Health Commun. 2005;10:38–41.
41. Kreps G, Alibek K, Neuhausr L, Rowan K, Sparks L. Emergency/risk communication to promote public health and respond to biological threats. In: Harden M, ed. Global Public Health. Sudbury, Mass: Jones and Bulwer; 2005:349–362.
42. Covello V, Peters R, Wojtecki J, Hyde R. Risk communication, the West Nile virus epidemic, and bioterrorism: responding to the communication challenges posed by the intentional or unintentional release of a pathogen in an urban setting. J Urban Health. 2001;78:382–391.[Web of Science][Medline]
43. Mileti D, Fitzpatrick C. Causal sequence of risk communication in the Parkfield Earthquake Prediction Experiment. Risk Analysis. 1992;12:393–400.[CrossRef][Web of Science]
44. Mileti D, Drabek TE, Hass JE. Human Systems in Extreme Environments. Boulder, Colo: Institute of Behavioral Science, University of Colorado; 1975.
This article has been cited by other articles:
![]() |
A. Pandya Adult Disaster Psychiatry Focus, April 1, 2009; 7(2): 155 - 159. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |