| Literature DB >> 24613001 |
Grace W Irimu1, Alexandra Greene, David Gathara, Harrison Kihara, Christopher Maina, Dorothy Mbori-Ngacha, Dejan Zurovac, Migiro Santau, Jim Todd, Mike English.
Abstract
BACKGROUND: Evidence-based standards for management of the seriously sick child have existed for decades, yet their translation in clinical practice is a challenge. The context and organization of institutions are known determinants of successful translation, however, research using adequate methodologies to explain the dynamic nature of these determinants in the quality-of-care improvement process is rarely performed.Entities:
Mesh:
Year: 2014 PMID: 24613001 PMCID: PMC3975593 DOI: 10.1186/1472-6963-14-119
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Figure 1Visual presentation of research procedures demonstrating the levels of integration.
Definition of the composite indicators of processes of care for each disease (doi:10.1371/journal.pone.0039964.t001.)
| Patient adequately assessed if all the following signs are assessed | Level of consciousness ability to drinka, cyanosis, lower chest wall indrawing and respiratory rate | Level of consciousness, pulse characterb, ability to drinka, sunken eyes and skin turgor (and duration of skin fold to return) | Oedema, and weight for height Z-score or visual assessment of degree of severe wasting | |
| Consistent with CPGs/ETAT + if any the corresponding terms are used | Very severe pneumonia, severe pneumonia, | Shock, severe dehydration, some dehydration and no dehydration | Severe malnutrition, oedematous malnutrition, protein energy malnutrition, marasmic kwashiorkor, kwashiorkor marasmus | |
| Consistent with CPGs if the following key treatment was prescribed at the correct dose and frequency (and duration for rehydration therapy) | Crystalline penicillin 50,000 units/kg/dose × 4 per day (+/-20%) and/or Gentamicin 7.5 mg/kg/day × 1 per day (+/-20%) | Hartman’s solutionc at 80–120 mls per kg if not given bolus for shock management or 56–120 mls per kg if given bolus for shock management given over 5–6 hours for patients ages 2–11 months and 2.5-3 hours in patients aged 12–59 months | 100-130 mls/kg/day (+/-20%) of F75d | |
| Consistent with WHO/Kenya guidelines as adapted by the hospital staff | Evidence that doses of Crystalline penicillin were given as prescribed in the first 48 hrs of admissione | Evidence that intravenous fluid (IV) therapy for severe dehydration was monitored | Evidence that intake of feeds for severe malnutrition was monitorede |
aPatients documented to have altered consciousness were assumed that they are not able to drink if ability to drink is not documented while patients documented in the history as able to drink were assumed to have the sign ‘able to drink’.
bPatients documented as able to drink or alert were assumed not to have a weak pulse if pulse character was not documented.
cIf dextrose added, correct if given at 2.4-6.0 mg/kg/min (approximates dextrose requirement for a sick child 3-5 mg/kg/min; +/-20%).
dWas either a manufactured product (depending on the availability) or milk-based solution prepared in the hospital that provided 75 kcal and 0.9 g of protein/100 ml.
eInitial treatment is considered given on time if it is given within 12 hours of admission on the ward.
Frame work for interrogating the data sets - adapted from Strivastava and Hopwood (2009)[14]
| Relevance of the data to the research question | What are the data telling us in reference to the research questions? |
| What is it we want to know according to the research questions and theoretical points of interest? | |
| Variation of data | How does the performance vary across and within domains of care? |
| What aspects of the qualitative data can explain this variation and are there other factors contributing to this relationship? | |
| What does this imply in regard to achieving the quality indicators in a certain domain? | |
| What is the dialectal relationship between what the data are telling us and what we want to know? | |
| Relevance of the data to the context | How will it be understood by the health professionals and the hospital management? |
| What do we want to know about the interconnectedness of the institution and individual professionals? |
Barriers to implementation of best-practices observed in the participatory action research
| Mismatch between hospital’s vision and reality | The hospital strategic planning was based on its vision to provide innovative and specialized health care contrary to the reality that majority of patients had common acute illnesses that did not require specialized care. There was a mismatch of infrastructure and the skill mix of the workforce did not sufficiently match the patient’s needs. |
| Poor communication | Poor communication was compounded by a centralized administrative system and limited forums where working relationships could be discussed thus hampering knowledge sharing. |
| Limited objective measures for evaluating quality of clinical care | Absence of more objectively assessed measures of patients’ care meant inadequacies in self- regulation could arise and persist without notice. |
| Limited capacity for strategic planning. | Inadequate structures to optimize efficiency of service delivery. |
| Inadequate management skills to introduce and manage change. | Unwillingness to do things differently reflected a general negativism towards innovation and limited ability of the managers to articulate, supervise and guide change efforts. |
| Hierarchical relationships among the staff and patients | Passage of knowledge was largely unidirectional with lower cadres being the recipients. Doctors as well other health workers maintained their primacy in care of patients and protected their profession. |
| Inadequate adaptation of ETAT + to the local context. | Among all cadres, there was inadequate knowledge in some basic procedures that were not the focus of ETAT+. Some of the existing job aids were outdated and did not permit staff to adopt best-practices. |
Figure 2Trend for change for proportion of patients who achieved key quality indicators across periods of intervention. -: Trend for change for proportion of patients who achieved key quality indicators across periods of intervention Period 0 – Pre-intervention period Period 1- Piloting ETAT + training materials Period 2 – Formal scaling up of ETAT + Period 3 – Period of PAR.
Figure 3Trend for change for proportion of patients who achieved key quality indicators across periods of intervention. -: Trend for change for proportion of patients who achieved key quality indicators across periods of intervention Period 0 – Pre-intervention period Period 1- Piloting ETAT + training materials Period 2 – Formal scaling up of ETAT + Period 3 – Period of PAR.