ISSN: 2161-1165

疫学: オープンアクセス

オープンアクセス

当社グループは 3,000 以上の世界的なカンファレンスシリーズ 米国、ヨーロッパ、世界中で毎年イベントが開催されます。 1,000 のより科学的な学会からの支援を受けたアジア および 700 以上の オープン アクセスを発行ジャーナルには 50,000 人以上の著名人が掲載されており、科学者が編集委員として名高い

オープンアクセスジャーナルはより多くの読者と引用を獲得
700 ジャーナル 15,000,000 人の読者 各ジャーナルは 25,000 人以上の読者を獲得

インデックス付き
  • 索引コペルニクス
  • Google スカラー
  • シェルパ・ロミオ
  • Genamics JournalSeek
  • セーフティライト付き
  • Global Online Research in Agriculture (AGORA) へのアクセス
  • 国際農業生物科学センター (CABI)
  • レフシーク
  • ハムダード大学
  • エブスコ アリゾナ州
  • OCLC-WorldCat
  • CABI全文
  • キャブダイレクト
  • パブロン
  • ジュネーブ医学教育研究財団
  • ユーロパブ
  • ICMJE
このページをシェアする

抽象的な

Turnover Intention of Health Workers in Public-Private Mix Partnership Health Facilities: A Case of Addis Ababa, Ethiopia

Wegayehu Madebo Dado, Worku Mekonnen, Mesele Damte Aragw, Binyam Fekadu Desta and Alebel Yaregal Desal

Background: Turnover intention is defined as a conscious and deliberate willingness to leave an organization. Employees who are committed to an organization internalize the organizational goals. The purpose of this study was to determine the magnitude of staff turnover and assess the relationships among organizational commitment, turnover intention and job satisfaction of health workers engaged in Public Private Mix health facilities.

Method: This research employed a cross-sectional study design. The study population of this study was all health workers employed in private health facilities in Addis Ababa, capital city of Ethiopia. To this end, four hundred forty-seven record reviewed and one hundred health professionals which participated in the study, were selected from forty-five health facilities using simple random sampling technique. The researcher collected the relevant data from health workers using Brayfield and Rothe’s index of job satisfaction survey tools and Meyer and Allen’s items of Affective. Continuance and Normative organizational commitment and intention to quit current job were measured using three items Lance inventory. The researchers analyzed the data using mean, standard deviation, correlation, linear regression and Analysis of Variance (one-way ANOVA).

Results: In forty-five PPM surveyed health facilities, out of 474 employees the magnitude of staff turnover was 24 percent. Moreover, almost half of them, (46%) want to leave their current job. The results showed that there was evidence of positive correlation between health workers’ job satisfaction and their organizational (r=0.574, p<0.01) affective commitment (r=0.596, p<0.01), normative commitment (r=0.504, p<0.01), continuance commitment (r =0.204, p<0.05). Likewise, there is a positive relation between turnover intention and continuance commitment (r=0.376, p<0.01). However, turnover intention is negatively correlated with job satisfaction (r=-0.328, p<0.01), marital status (r=-0.332, p<0.01), and age (r=-0.268, p<0.01). Similarly, gender is negatively correlated with age (r=-338, p<0.01), and level of education (r=-0.331, p<0.01). In this study, the researcher found no statistical significant variation in turnover intention between males and females (p>0.05). The mean score of turnover intensions were computed against mean score of job satisfaction and organizational commitment. The results showed that, beta (β) coefficient from the general linear regression, adjusted models an increase in mean turnover intention score per unit increase in continuance commitment score at β 0.432 (0.197, 0.500), p<0.05. While, an increase in mean turnover intention score per unit decreases in job satisfaction and affective commitment score β -0.318(-0.399, -0.100) and β -0.467(-0.477, -0.215), p<0.05, respectively.

Conclusions: Consequently, per this finding it was concluded that there is high staff turnover and intention to turnover in public private mix health facilities and the level of health professionals’ organizational commitment can be enhanced by creating a more satisfying working environment. Therefore, the public health sector should strive to improve the work environment of the private sector and work closely with the private sector on staff retention mechanisms.

免責事項: この要約は人工知能ツールを使用して翻訳されており、まだレビューまたは確認されていません。