Quantifying nursing care delivered in Kenyan newborn units: protocol for a cross-sectional direct observational study

A mixed-methods study to investigate feasibility and acceptability of an early warning score for preterm infants in neonatal units in Kenya: results of the NEWS-K study : Neonatal early warning scores in Kenya

 Preterm birth (< 37 weeks gestation) complications are the leading cause of neonatal mortality. Early-warning scores (EWS) are charts where vital signs (e.g., temperature, heart rate, respiratory rate) are recorded, triggering action. To evaluate whether a neonatal EWS improves clinical outcomes in low-middle income countries, a randomised trial is needed. Determining whether the use of a neonatal EWS is feasible and acceptable in newborn units, is a prerequisite to conducting a trial. We implemented a neonatal EWS in three newborn units in Kenya. Staff were asked to record infants' vital signs on the EWS during the study, triggering additional interventions as per existing local guidelines. No other aspects of care were altered. Feasibility criteria were pre-specified. We also interviewed health professionals (n = 28) and parents/family members (n = 42) to hear their opinions of the EWS. Data were collected on 465 preterm and/or low birthweight (< 2.5 kg) infants. In addition to qualitative study participants, 45 health professionals in participating hospitals also completed an online survey to share their views on the EWS. 94% of infants had the EWS completed at least once during their newborn unit admission. EWS completion was highest on the day of admission (93%). Completion rates were similar across shifts. 15% of vital signs triggered escalation to a more senior member of staff. Health professionals reported liking the EWS, though recognised the biggest barrier to implementation was poor staffing. Newborn unit infant to staff ratios varied between 10 and 53 staff per 1 infant, depending upon time of shift and staff type. A randomised trial of neonatal EWS in Kenya is possible and acceptable, though adaptations are required to the form before implementation.

Feasibility and acceptability of a novel biomedical device to prevent neonatal hypothermia and augment Kangaroo Mother Care in Kenya: Qualitative analysis of focus group discussions and key Informant Interviews

Hypothermia is a leading newborn complication, especially among premature and/or low birth weight infants. Within low/middle-income countries where incubators and radiant warmers are often in short supply, leading to gaps in the thermal care chain, neonatal hypothermia underlies high rates of newborn morbidity and mortality. Kangaroo Mother Care/Skin-to-skin care is an effective method for prevention of hypothermia in premature and low birthweight babies but can be very burdensome for families and healthcare providers. Our international multidisciplinary team has developed a prototype for a wearable biomedical device ("NeoWarm") to provide continuous thermal care and augment kangaroo mother care practices in low-resource settings. The objective of this study was to assess the feasibility and acceptability of NeoWarm and to obtain user design feedback for an early prototype from among adult end-users in Western Kenya. We performed key informant interviews (n = 17) among healthcare providers and 5 focus group discussions (FGDs) among 3 groups of adult stakeholders of premature babies, including: (1) parents/family members of premature babies aged 6 weeks or less (3 FGDs); (2) healthcare providers of newborns (e.g., nurses; physicians; 1 FGD); (3) community opinion leaders and stakeholders (e.g., traditional birth attendants; pastors; village elders; 1 FGD). Content and thematic analyses of transcripts indicate that NeoWarm is acceptable and feasible in promoting facility-based kangaroo mother care in the Kenyan setting. Novel findings derived from respondents include (1) the ability of the device to potentially overcome several barriers to traditional kangaroo mother care methods and (2) user-driven encouragement to expand the use case of the device to potentially include community-based kangaroo mother care and neonatal transport. User design feedback obtained during the interviews informed several key design iterations for subsequent prototypes of the device.

Critical Interpretive Synthesis of Qualitative Data on the Health Care Ecosystem for Vulnerable Newborns in Low- to Middle-Income Countries

OBJECTIVE

To critically assess and synthesize qualitative findings regarding the health care ecosystem for vulnerable (low-birth-weight or sick) neonates in low- to middle-income countries (LMICs).

DATA SOURCES

Between May 4 and June 2, 2020, we searched four databases (Medline [PubMed], SCOPUS, PsycINFO, and Web of Science) for articles published from 2010 to 2020. Inclusion criteria were peer-reviewed reports of original studies focused on the health care ecosystem for vulnerable neonates in LMICs. We also searched the websites of several international development agencies and included findings from primary data collected between May and July 2019 at a tertiary hospital in Kenya. We excluded studies and reports if the focus was on healthy neonates or high-income countries and if they contained only quantitative data, were written in a language other than English, or were published before 2010.

STUDY SELECTION

One of the primary authors conducted an initial review of titles and abstracts (n = 102) and excluded studies that were not consistent with the purpose of the review (n = 60). The two primary authors used a qualitative appraisal checklist to assess the validity of the remaining studies (n = 42) and reached agreement on the final 13 articles.

DATA EXTRACTION

The two primary authors independently conducted open and axial coding of the data. We incorporated data from studies with different units of analysis, types of methodology, research topics, participant types, and analytical frameworks in an emergent conceptual development process according to the critical interpretive synthesis methodology.

DATA SYNTHESIS

We synthesized our findings into one overarching theme, Pervasive Turbulence Is a Defining Characteristic of the Health Care Ecosystem in LMICs, and two subthemes: Pervasive Turbulence May Cause Tension Between the Setting and the Caregiver and Pervasive Turbulence May Result in a Loss of Synergy in the Caregiver-Parent Relationship.

CONCLUSION

Because pervasive turbulence characterizes the health care ecosystems in LMICs, interventions are needed to support the caregiver-parent interaction to mitigate the effects of tension in the setting.

"I train and mentor, they take them": A qualitative study of nurses' perspectives of neonatal nursing expertise and its development in Kenyan hospitals

Aims and Objectives

Neonatal inpatient care is reliant on experienced nursing care, yet little is known about how Kenyan hospitals foster the development of newborn nursing experience in newborn units.

Design

A Qualitative ethnographic design.

Methods

Face to face 29 in depth interviews were conducted with nurses providing neonatal care in one private, one faith based and one public hospital in Nairobi, Kenya between January 2017 and March 2018. All data were transcribed verbatim, coded in the original language and analysed using a framework approach.

Results

Across the sectors, nurses perceived experience as important to the provision of quality care. They noted that hospitals could foster experience through recruitment, orientation, continuous learning and retention. However, while the private hospital facilitated experience building the public and faith-based hospitals experienced challenges due to human resource management practices and nursing shortages.

Conclusion

Health sector context influenced how experience was developed among nurses.

Implications

Nurturing experience will require that different health sectors adopt better recruitment for people interested in NBU work, better orientation and fewer rotations even without specialist nurse training.

Informal task-sharing practices in inpatient newborn settings in a low-income setting-A task analysis approach

Aim

To describe the complexity and criticality of neonatal nursing tasks and existing task-sharing practices to identify tasks that might be safely shared in inpatient neonatal settings.

Design

We conducted a cross-sectional study in a large geographically dispersed sample using the STROBE guidelines.

Methods

We used a task analysis approach to describe the complexity/criticality of neonatal nursing tasks and to explore the nature of task sharing using data from structured, self-administered questionnaires. Data was collected between 26th April and 22nd August 2017.

Results

Thirty-two facilities were surveyed between 26th April and 22nd August, 2017. Nearly half (42%, 6/14) of the "moderately critical" and "not critical" (41%, 5/11) tasks were ranked as consuming most of the nurses' time and reported as shared with mothers respectively. Most tasks were reported as shared in the public sector than in the private-not-for-profit facilities. This may largely be a response to inadequate nurse staffing, as such, there may be space for considering the future role of health care assistants.

Lessons from a Health Policy and Systems Research programme exploring the quality and coverage of newborn care in Kenya

There are global calls for research to support health system strengthening in low-income and middle-income countries (LMICs). To examine the nature and magnitude of gaps in access and quality of inpatient neonatal care provided to a largely poor urban population, we combined multiple epidemiological and health services methodologies. Conducting this work and generating findings was made possible through extensive formal and informal stakeholder engagement linked to flexibility in the research approach while keeping overall goals in mind. We learnt that 45% of sick newborns requiring hospital care in Nairobi probably do not access a suitable facility and that public hospitals provide 70% of care accessed with private sector care either poor quality or very expensive. Direct observations of care and ethnographic work show that critical nursing workforce shortages prevent delivery of high-quality care in high volume, low-cost facilities and likely threaten patient safety and nurses' well-being. In these challenging settings, routines and norms have evolved as collective coping strategies so health professionals maintain some sense of achievement in the face of impossible demands. Thus, the health system sustains a functional veneer that belies the stresses undermining quality, compassionate care. No one intervention will dramatically reduce neonatal mortality in this urban setting. In the short term, a substantial increase in the number of health workers, especially nurses, is required. This must be combined with longer term investment to address coverage gaps through redesign of services around functional tiers with improved information systems that support effective governance of public, private and not-for-profit sectors.

Effective coverage and budget implications of skill-mix change to improve neonatal nursing care: an explorative simulation study in Kenya

Introduction

Neonatal mortality is an urgent policy priority to improve global population health and reduce health inequality. As health systems in Kenya and elsewhere seek to tackle increased neonatal mortality by improving the quality of care, one option is to train and employ neonatal healthcare assistants (NHCAs) to support professional nurses by taking up low-skill tasks.

Methods

Monte-Carlo simulation was performed to estimate the potential impact of introducing NHCAs in neonatal nursing care in four public hospitals in Nairobi on effectively treated newborns and staff costs over a period of 10 years. The simulation was informed by data from 3 workshops with >10 stakeholders each, hospital records and scientific literature. Two univariate sensitivity analyses were performed to further address uncertainty.

Results

Stakeholders perceived that 49% of a nurse full-time equivalent could be safely delegated to NHCAs in standard care, 31% in intermediate care and 20% in intensive care. A skill-mix with nurses and NHCAs would require ~2.6 billionKenyan Shillings (KES) (US$26 million) to provide quality care to 58% of all newborns in need (ie, current level of coverage in Nairobi) over a period of 10 years. This skill-mix configuration would require ~6 billion KES (US$61 million) to provide quality of care to almost all newborns in need over 10 years.

Conclusion

Changing skill-mix in hospital care by introducing NHCAs may be an affordable way to reduce neonatal mortality in low/middle-income countries. This option should be considered in ongoing policy discussions and supported by further evidence.

Missed nursing care in newborn units: a cross-sectional direct observational study

BACKGROUND

Improved hospital care is needed to reduce newborn mortality in low/middle-income countries (LMIC). Nurses are essential to the delivery of safe and effective care, but nurse shortages and high patient workloads may result in missed care. We aimed to examine nursing care delivered to sick newborns and identify missed care using direct observational methods.

METHODS

A cross-sectional study using direct-observational methods for 216 newborns admitted in six health facilities in Nairobi, Kenya, was used to determine which tasks were completed. We report the frequency of tasks done and develop a nursing care index (NCI), an unweighted summary score of nursing tasks done for each baby, to explore how task completion is related to organisational and newborn characteristics.

RESULTS

Nursing tasks most commonly completed were handing over between shifts (97%), checking and where necessary changing diapers (96%). Tasks with lowest completion rates included nursing review of newborns (38%) and assessment of babies on phototherapy (15%). Overall the mean NCI was 60% (95% CI 58% to 62%), at least 80% of tasks were completed for only 14% of babies. Private sector facilities had a median ratio of babies to nurses of 3, with a maximum of 7 babies per nurse. In the public sector, the median ratio was 19 babies and a maximum exceeding 25 babies per nurse. In exploratory multivariable analyses, ratios of ≥12 babies per nurse were associated with a 24-point reduction in the mean NCI compared with ratios of ≤3 babies per nurse.

CONCLUSION

A significant proportion of nursing care is missed with potentially serious effects on patient safety and outcomes in this LMIC setting. Given that nurses caring for fewer babies on average performed more of the expected tasks, addressing nursing is key to ensuring delivery of essential aspects of care as part of improving quality and safety.

Neonatal nasogastric tube feeding in a low-resource African setting - using ergonomics methods to explore quality and safety issues in task sharing

BACKGROUND

Sharing tasks with lower cadre workers may help ease the burden of work on the constrained nursing workforce in low- and middle-income countries but the quality and safety issues associated with shifting tasks are rarely critically evaluated. This research explored this gap using a Human Factors and Ergonomics (HFE) method as a novel approach to address this gap and inform task sharing policies in neonatal care settings in Kenya.

METHODS

We used Hierarchical Task Analysis (HTA) and the Systematic Human Error Reduction and Prediction Approach (SHERPA) to analyse and identify the nature and significance of potential errors of nasogastric tube (NGT) feeding in a neonatal setting and to gain a preliminary understanding of informal task sharing.

RESULTS

A total of 47 end tasks were identified from the HTA. Sharing, supervision and risk levels of these tasks reported by subject matter experts (SMEs) varied broadly. More than half of the tasks (58.3%) were shared with mothers, of these, 31.7% (13/41) and 68.3% were assigned a medium and low level of risk by the majority (≥4) of SMEs respectively. Few tasks were reported as 'often missed' by the majority of SMEs. SHERPA analysis suggested omission was the commonest type of error, however, due to the low risk nature, omission would potentially result in minor consequences. Training and provision of checklists for NGT feeding were the key approaches for remedying most errors. By extension these strategies could support safer task shifting.

CONCLUSION

Inclusion of mothers and casual workers in care provided to sick infants is reported by SMEs in the Kenyan neonatal settings. Ergonomics methods proved useful in working with Kenyan SMEs to identify possible errors and the training and supervision needs for safer task-sharing.