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Health, Wellness and Tourism: healthy tourists, healthy business ...

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Methods<br />

To underst<strong>and</strong> the Australian supply-side <strong>and</strong> structure of wellness tourism, a range of<br />

methods were employed, including secondary data analyses, stakeholder interviews <strong>and</strong> five<br />

detailed cases studies. The interviews with the stakeholders <strong>and</strong> the interviews conducted for<br />

the cases studies included site visits in all Australian states with the exception of the Northern<br />

Territory, the Australian Capital Territory <strong>and</strong> Tasmania. A final method, most relevant for<br />

this paper, consisted of a mail-out survey which was based on an audit of Australian wellness<br />

tourism providers which produced a database of 590 <strong>business</strong>es.<br />

Sampling Frame. The definition of wellness tourism applied in this research deliberately<br />

incorporates the limitation of “to stay at least one night at a facility”. Therefore, the main<br />

emphasis during the audit was to achieve as complete a census as possible of <strong>business</strong>es that<br />

included or were attached to accommodation facilities. It was assumed that providers with<br />

accommodation would receive a higher proportion of <strong>tourists</strong> than local residents in<br />

comparison to establishments without accommodation. Nevertheless, a number of day spas<br />

(although less than a census) were also included in our sampling frame, based on an<br />

acknowledgment that some <strong>tourists</strong> visit these facilities while on vacation. This was important<br />

to gain a broad snapshot of the Australian wellness tourism industry.<br />

The sampling frame was established on the basis of a database of suppliers provided by the<br />

Australian <strong>Tourism</strong> Data Warehouse (ATDW). The database included all suppliers listed by<br />

the ATDW where the experiences field included ‘health <strong>and</strong> wellbeing’. The database was<br />

subsequently reviewed by two research team members, with out of scope records removed<br />

(e.g. <strong>business</strong>es that provide a spa bath in their rooms but do not offer any other health <strong>and</strong><br />

wellness tourism services, or duplicates), which substantially reduced this database. The<br />

database was then crosschecked against other sources, such as Sensis Yellow <strong>and</strong> White<br />

Pages, online directories (e.g. SpaFinder) <strong>and</strong> private records of the research team, to include<br />

additional providers in the database.<br />

Survey Instrument. A self-completion mail-out questionnaire was developed that included<br />

questions in regard to the nature of the service offerings; the <strong>business</strong> profile including year of<br />

establishment, staffing; <strong>and</strong> promotion strategies <strong>and</strong> distribution.<br />

Data Collection Procedure. Before the survey was mailed out, each of the 590 wellness<br />

providers was contacted by telephone <strong>and</strong> the name of an appropriate manager was identified<br />

<strong>and</strong> recorded in the database. This enabled the research team to produce personalised<br />

introduction letters. These letters, together with a hard copy of the questionnaire <strong>and</strong> a reply<br />

paid envelope were sent to every wellness provider listed in the newly created supply data<br />

base. A tracking serial number was printed on the reply paid envelope <strong>and</strong> responses were<br />

recorded in the supply data base. The envelope was then discarded <strong>and</strong> the serial number was<br />

not attached to individual questionnaire records. Two reminder letters after four <strong>and</strong> after<br />

eight weeks were posted to non-respondents. A total of 156 responses were received by the<br />

closing date of the survey, representing a response rate of 25 percent.<br />

Data Analysis. The survey data was captured electronically <strong>and</strong> set up as an SPSS (Version<br />

17) data file. The data was initially inspected through frequency count <strong>and</strong> cross-tabulation to<br />

check for range validity <strong>and</strong> logical consistency. After deleting four questionnaires due to<br />

missing data, we had responses from managers of 68 Beauty Spa Hotels/Resorts, 37 Day<br />

Spas, 27 Lifestyle Resorts <strong>and</strong> 22 Spiritual Retreats. The data set was then analysed by<br />

frequency count, cross-tabulation <strong>and</strong> the calculation of means.

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