Health Care Intervention Research- Improving Pre-natal and Maternal Care (QUALMAT)
Health Care Intervention Research-Quality of Prenatal and Maternal Care: Bridging the Know-do Gap (QUALMAT)
Besides a dramatic lack of financial and human resources in developing countries, health care is additionally endangered by quality deficiencies caused by low staff motivation. This lack of motivation leads to an insufficient translation of knowledge into optimal utilization of resources. The "know-do" gap represents a challenge that must be addressed to strengthen health services performance towards achieving the Millennium Development Goals (MDGs). This is in particular true for some sensitive sectors like pre-natal and maternal health care. General objective of this research is to improve maternal health through better pre-natal and maternal care services offered by better motivated health workers. A computer-assisted clinical decision support system (CDSS) will be developed, implemented and tested aiming at (I) quality improvement of maternal and newborn care and (II) assessment of provider's performance. Based on this tool a commonly agreed incentive scheme to increase motivation will be shaped and tested in three SSA - countries, namely Burkina, Ghana, and Tanzania.
The incentive scheme might contain both non-monetary and monetary incentives and will be designed according to the human resource policy in the three countries. The planned approach is an implementation study with control arms containing one hospital and 6 first line health facilities in each of the study districts and an equal number of facilities in the control arm. A set of indicators for measurement of changes in quality of delivered services will be identified in order to follow up the sustainability and effectiveness of the strategies after their implementation. The study findings will allow understanding the important factors of staff motivation and facilitate adequate management for improvement of maternal and neonatal health care. "Knowing is not enough, we must apply; Wanting to do, is not enough, we must do it1"
- J.W. v. Goethe
調査の概要
研究の種類
入学 (予想される)
段階
- 適用できない
連絡先と場所
研究場所
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Heidelberg、ドイツ、69120
- 募集
- University of Heidelberg
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コンタクト:
- Rainer Sauerborn, Prof.
- 電話番号:00496221565859
- メール:svetla.loukanova@urz.uni-heidelberg.de
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参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
説明
Inclusion Criteria:
- the patient in the primary health care center
Exclusion Criteria:
- patients outside the research regions
研究計画
研究はどのように設計されていますか?
デザインの詳細
- 割り当て:非ランダム化
- 介入モデル:並列代入
- マスキング:なし(オープンラベル)
武器と介入
参加者グループ / アーム |
介入・治療 |
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介入なし:without CDSS
This arm includes 6 health facilities in each partner country, where the clinical decision support system will not be implemented
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Clinical Decision Support System
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実験的:with CDSS
This arm includes 6 health facilities in each partner country, where the clinical decision support system will be implemented, parallel to the performance based incentive package
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Clinical Decision Support System
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この研究は何を測定していますか?
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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motivation
時間枠:2 years
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This research aims to increase the motivation of the health care providers through two parallel intervention packages- implementation of Clinical decision support system and incentive packages, based on the performance.
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2 years
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Improved quality of health services in ANC and delivery
時間枠:2 years
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This research aims to improve the quality of the services provided through better motivated health workers
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2 years
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協力者と研究者
出版物と役立つリンク
一般刊行物
- Saronga HP, Duysburgh E, Massawe S, Dalaba MA, Wangwe P, Sukums F, Leshabari M, Blank A, Sauerborn R, Loukanova S. Cost-effectiveness of an electronic clinical decision support system for improving quality of antenatal and childbirth care in rural Tanzania: an intervention study. BMC Health Serv Res. 2017 Aug 7;17(1):537. doi: 10.1186/s12913-017-2457-z.
- Blank A, Prytherch H, Kaltschmidt J, Krings A, Sukums F, Mensah N, Zakane A, Loukanova S, Gustafsson LL, Sauerborn R, Haefeli WE. "Quality of prenatal and maternal care: bridging the know-do gap" (QUALMAT study): an electronic clinical decision support system for rural Sub-Saharan Africa. BMC Med Inform Decis Mak. 2013 Apr 10;13:44. doi: 10.1186/1472-6947-13-44.
研究記録日
主要日程の研究
研究開始
一次修了 (実際)
研究の完了 (予想される)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (見積もり)
学習記録の更新
投稿された最後の更新 (見積もり)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
その他の研究ID番号
- S-173/2008
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