| Title |
Two-factor theory – at the intersection of health care management and patient satisfaction
|
|---|---|
| Published in |
ClinicoEconomics and Outcomes Research: CEOR, October 2012
|
| DOI | 10.2147/ceor.s29347 |
| Pubmed ID | |
| Authors |
Josef Bohm |
| Abstract |
Using data obtained from the 2004 Joint Canadian/United States Survey of Health, an analytic model using principles derived from Herzberg's motivational hygiene theory was developed for evaluating patient satisfaction with health care. The analysis sought to determine whether survey variables associated with consumer satisfaction act as Hertzberg factors and contribute to survey participants' self-reported levels of health care satisfaction. To validate the technique, data from the survey were analyzed using logistic regression methods and then compared with results obtained from the two-factor model. The findings indicate a high degree of correlation between the two methods. The two-factor analytical methodology offers advantages due to its ability to identify whether a factor assumes a motivational or hygienic role and assesses the influence of a factor within select populations. Its ease of use makes this methodology well suited for assessment of multidimensional variables. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Sweden | 1 | 1% |
| Unknown | 66 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 13% |
| Student > Bachelor | 7 | 10% |
| Student > Ph. D. Student | 5 | 7% |
| Researcher | 4 | 6% |
| Student > Doctoral Student | 4 | 6% |
| Other | 15 | 22% |
| Unknown | 24 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 21% |
| Business, Management and Accounting | 8 | 12% |
| Economics, Econometrics and Finance | 5 | 7% |
| Nursing and Health Professions | 3 | 4% |
| Psychology | 3 | 4% |
| Other | 10 | 15% |
| Unknown | 25 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 October 2012.
All research outputs
#20,110,957
of 25,584,565 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#385
of 514 outputs
Outputs of similar age
#143,935
of 191,340 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#6
of 9 outputs
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