RESEARCH ARTICLE


Demand Forecasting for Domestic Air Transportation in Turkey



Orhan Sivrikaya*, Enar Tunc
Department of Management, Okan University, Tuzla, Istanbul.


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© 2013 Sivrikaya and Tunç;

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Correspondence: * Address correspondence to this author at the Department of Management, Okan University, Tuzla, Istanbul; Tel: +90-212-2126526; Fax: 90-212-2662279; E-mail: osivrikaya@live.com


Abstract

introduction

Patients have the right to influence the care they receive, but their wish to participate in care decision-making is unclear.

Aim

This study investigates whether participation in nursing documentation influences patient participation in care decision-making, mastery, self-esteem, empowerment and depressive feelings among adult in-patients with chronic disease.

Materials and Methodology

Adult patients (n=39) with chronic diseases were randomized. The intervention group participated in nursing documentation. Upon departure, patients filled in questionnaires about participation in care decision-making, mastery, self-esteem, empowerment and depressive feelings.

Results

The majority of the patients preferred a collaborative or passive role regarding care decision-making. Lack of knowledge was one reason for non-participation. Having been diagnosed more than five years previously meant stronger empowerment.

Conclusion

It is a challenge for nurses to find strategies to assess patients’ wishes regarding participation in care decision-making. Nurses must support patients’ knowledge of their disease and empowerment.

Keywords: Domestic air transportation, city pair, origin and destination, connection time, travel time, gravity model, deregulation, multivariate linear regression and semi logarithmic regression.