Assessment of psychosocial work environment in primary care--development of a questionnaire.
Recent studies have indicated deteriorated working conditions of health care personnel. To have an efficient health care organization requires good working conditions and the well-being of the personnel. Today there are no "gold-standard" assessment tools measuring psychosocial working conditions. The aim of this study was to develop two valid and reliable questionnaires, one generic and one specific, measuring psychosocial working conditions for general practitioners (GPs) and district nurses (DNs) in Sweden, with a special emphasis on organizational changes. The construction of the questionnaires were made after a stepwise developing phase including literature review, interviews, and a pilot study. The pilot study included GPs n = 42 and DNs n = 39. The questionnaires were later on used in a main study (GPs n = 465, DNs n = 465). A factor analysis was carried out and showed that there were fewer items in the main study that had factor loading > or = 0.40 in more than one factor, compared to the pilot study. The factors from the main study were easier to label and had good correspondence with other studies. After this stepwise development phase good construct validity and internal consistency were established for the questionnaire.
Wilhelmsson
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S
Faculty of Health Sciences, Department of Medicine and Care, Linköping University, Sweden.
Akerlind
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I
Faresjö
T
T
Ek
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AC
D005163:Factor Analysis, Statistical; D006801:Humans; D010821:Physicians, Family / Q000523:psychology / Q000706:statistics & numerical data; D010865:Pilot Projects; D011320:Primary Health Care / Q000706:statistics & numerical data; D011593:Psychology, Social; D011637:Public Health Nursing / Q000706:statistics & numerical data; D012931:Social Environment; D011795:Surveys and Questionnaires; D013548:Sweden; D014937:Work / Q000523:psychology* / Q000706:statistics & numerical data; D000078329:Workforce; D017132:Workplace / Q000523:psychology / Q000706:statistics & numerical data